Оформить business_overview как маршрутный контракт Open-World Breadth

docs/ARCH/11 - architecture_turnaround/21 - current_status_canon_2026-05-01.md

@@ -14,7 +14,9 @@ If another document says `78%`, `87%`, `92%`, or `85%` for a module that is now
 - `Inventory Stock Open-World Breadth Proof`: `100%` for the declared inventory-stock scenario pack, not for arbitrary inventory questions.
 - `Planner Autonomy Consolidation`: `100%` for the declared phase83 planner-brain slice, including catalog alignment, live-readiness gating, checked-source sanitation, and accepted mixed replay.
 - Active next module: broader `Open-World Bounded Autonomy Breadth` over unfamiliar 1C asks, while keeping Post-F and phase83 as regression gates.
-- First active slice: `Business Overview Evidence Fusion`, tracked in `22 - open_world_bounded_autonomy_breadth_2026-05-01.md`.
+- Completed active slice: `Business Overview Evidence Fusion`, tracked in `22 - open_world_bounded_autonomy_breadth_2026-05-01.md`.
+- Current active slice: `Business Overview Catalog Route Fabric`: the route is reviewed in catalog/data-need/planner contracts, while fresh multi-probe runtime execution remains a pending bridge.
+- Active module progress: `~18% (Open-World Bounded Autonomy Breadth)`.
 
 ## Reporting Rule
 
@@ -51,6 +53,7 @@ The project is not yet a universal arbitrary-1C agent.
 
 Remaining work belongs to the next breadth module:
 
+- implement the fresh multi-probe `business_overview` runtime bridge behind the reviewed route-fabric contract;
 - broader dynamic schema traversal for unfamiliar 1C asks;
 - more primitive descriptors where live evidence proves a real gap;
 - more replay-backed domain packs that start from user business meaning, not from route convenience;

docs/ARCH/11 - architecture_turnaround/22 - open_world_bounded_autonomy_breadth_2026-05-01.md

@@ -70,12 +70,28 @@ When this bridge answers, it must:
 - keep profit/margin/debt/VAT as explicit missing evidence when not checked;
 - avoid raw MCP, planner, catalog, route, primitive, or debug wording.
 
-### Next Slice
+## Slice 2 - Business Overview Catalog Route Fabric
+
+This slice promotes the broad-evaluation contour from a living-chat bridge into the reviewed planner/catalog vocabulary.
+
+### Current Implementation Boundary
+
+Implemented now:
+
+- `business_overview` exists as a reviewed catalog chain template;
+- the data-need graph recognizes broad company analysis as a bounded business-overview evidence need;
+- fresh business-overview probes require an organization scope instead of silently reusing stale context;
+- planner output can select `business_overview` as the catalog top match with structured alignment telemetry;
+- the pilot executor exposes `business_overview_route_template_v1` as an explicit scope, but returns an unsupported runtime boundary until the fresh multi-probe bridge is implemented.
+
+This is deliberately not a fake runtime success.
+
+The assistant now has the route-fabric contract for the next slice, while the live business overview still uses the safe evidence-fusion bridge from Slice 1.
+
+### Still Pending Runtime Slice
 
 Promote this bridge into a real planner route:
 
-- add a reviewed `business_overview` catalog chain template;
-- let the data-need graph model broad evaluation as a composed evidence need;
 - run bounded fresh probes for year turnover, top customers, incoming/outgoing/net flow, debt, VAT, and inventory context where available;
 - return a layered analyst answer with exact evidence, bounded inference, unknowns, and recommended next probes.
 
@@ -98,4 +114,9 @@ Initial local validation:
 - `npm.cmd run build`: passed.
 - graphify rebuild: `5977 nodes`, `12983 edges`, `137 communities`.
 
+Business-overview route-fabric validation:
+
+- `npm.cmd test -- assistantMcpCatalogIndex.test.ts assistantMcpDiscoveryDataNeedGraph.test.ts assistantMcpDiscoveryPlanner.test.ts assistantMcpDiscoveryPilotExecutor.test.ts`: passed `102/102`.
+- fresh multi-probe runtime execution remains intentionally pending behind `business_overview_route_template_v1`.
+
 Graphify must be rebuilt after this code/doc slice before commit.

docs/ARCH/11 - architecture_turnaround/README.md

@@ -51,6 +51,7 @@ Status canon for planning:
 - Planner Autonomy Consolidation is closed at `100%` for the declared phase83 planner-brain slice.
 - The active next module is now `Open-World Bounded Autonomy Breadth` over unfamiliar 1C asks, with Post-F and phase83 retained as semantic canaries.
 - The first active slice is `Business Overview Evidence Fusion`: broad company-analysis wording now produces a richer evidence-grounded business overview from confirmed MCP/session facts instead of a thin generic summary.
+- The current follow-up slice is `Business Overview Catalog Route Fabric`: `business_overview` is now a reviewed catalog/data-need/planner chain, while fresh multi-probe execution remains honestly bounded behind an unsupported runtime scope until the next bridge is implemented.
 - The short source of truth for status wording is [21 - current_status_canon_2026-05-01.md](./21%20-%20current_status_canon_2026-05-01.md).
 
 It now documents a turnaround that is already operational in code, already materially past the acute regression breakpoint, and already moved through bounded MCP autonomy, Post-F hardening, inventory breadth proof, and the declared Planner Autonomy slice:
@@ -114,8 +115,8 @@ Current honest status:
 - exit-from-danger-zone readiness: `~97%`
 - pre-multidomain readiness: `~90%`
 - bounded-autonomy foundation readiness: `~89%`
-- open-world bounded-autonomy readiness: `~85%`
+- open-world bounded-autonomy readiness: `~86%`
-- active Open-World Bounded Autonomy Breadth progress: `~12%`, with the first business-overview evidence-fusion slice started and locally tested; fresh multi-probe planner route is still pending
+- active Open-World Bounded Autonomy Breadth progress: `~18%`, with business-overview evidence fusion and the reviewed `business_overview` catalog/data-need/planner route-fabric slice locally tested; fresh multi-probe runtime execution is still pending
 - Post-F semantic integrity module progress: `~99%` operationally closed, with remaining risk now treated as next-slice discovery rather than an open blocker inside the closed slice
 - active inventory-stock breadth slice progress: `100%` for the declared scenario pack, not for arbitrary inventory questions
 - Planner Autonomy Consolidation progress: `100%` for the declared module, with catalog-fabric, value-flow arbitration, lifecycle bounded inference, broad-evaluation bridge, inventory catalog templates, inventory runtime-boundary honesty, exact inventory recipe bridging, unambiguous metadata-surface lane inference, catalog chain-template scoring, structured chain-match contract exposure, runtime/debug propagation, subject-aware bidirectional comparison arbitration, structured catalog-alignment verdicts, representative alignment regression guard, catalog-alignment reason-code telemetry, explicit `alignment_status` propagation, truth-harness/acceptance-matrix surfacing, soft divergence warning, `catalog_alignment_ok` acceptance invariant, step-level expected catalog-alignment assertions, phase66 and phase32 spec alignment expectations, AGENT source-catalog surfacing, generated phase83 mixed planner-brain replay spec, checked-source user-facing error sanitation, surface-grounded catalog promotion, and guarded live phase83 acceptance validated. Broader unfamiliar 1C asks are now next-module breadth work rather than an open blocker inside this declared slice
@@ -159,6 +160,7 @@ Latest live proof now includes:
 - lifecycle/value-flow Planner Autonomy response gate accepted: `address_truth_harness_phase19_mcp_discovery_response_gate_planner_lifecycle_rerun4` accepted `8/8`, proving bounded lifecycle inference, current-turn value-flow aggregate arbitration, and sanitized evidence wording
 - broad-evaluation bridge continuity accepted: `address_truth_harness_phase21_net_followup_after_broad_eval_planner_lifecycle_rerun2` accepted `3/3` and `address_truth_harness_phase22_broad_business_evaluation_bridge_planner_lifecycle_rerun2` accepted `3/3`
 - latest local Planner Autonomy slice accepted: full MCP-discovery suite passed `268/268` with `9` skipped; broad MCP/living-chat/route/meaning slice passed `305/305` with `9` skipped; build passed
+- business-overview route-fabric slice accepted locally: catalog/data-need/planner/pilot boundary slice passed `102/102`; the pilot executor exposes `business_overview_route_template_v1` as an explicit unsupported scope until the fresh multi-probe bridge exists
 - inventory template lift accepted locally: catalog/data-need/planner/turn-input slice passed `139/139` with `6` skipped; full MCP-discovery slice passed `276/276` with `9` skipped; build passed; graphify stayed at `5912 nodes`, `12833 edges`, `138 communities`
 - inventory runtime-boundary hardening accepted locally: runtime-bridge/answer-adapter/pilot-executor slice passed `68/68` with `1` skipped; full MCP-discovery slice passed `277/277` with `9` skipped; build passed; graphify rebuilt to `5913 nodes`, `12837 edges`, `138 communities`
 - inventory exact-runtime bridge accepted locally: runtime-bridge/answer-adapter/pilot-executor slice passed `70/70` with `1` skipped; full MCP-discovery slice passed `279/279` with `9` skipped; build passed; graphify rebuilt to `5930 nodes`, `12884 edges`, `135 communities`

llm_normalizer/backend/dist/services/assistantMcpCatalogIndex.js

@@ -51,6 +51,7 @@ const PRIMITIVE_CONTRACTS = [
             "document_evidence",
             "movement_evidence",
             "activity_lifecycle",
+            "business_overview",
             "inventory_purchase_provenance",
             "inventory_sale_trace",
             "inventory_supplier_overlap"
@@ -63,6 +64,7 @@ const PRIMITIVE_CONTRACTS = [
             "list_documents",
             "list_movements",
             "activity_duration",
+            "broad_evaluation",
             "purchase_provenance",
             "sale_trace",
             "supplier_overlap"
@@ -84,8 +86,22 @@ const PRIMITIVE_CONTRACTS = [
             "collect_outgoing_movements",
             "fetch_scoped_movements"
         ],
-        supported_fact_families: ["value_flow", "movement_evidence", "inventory_stock_snapshot", "inventory_supplier_overlap"],
+        supported_fact_families: [
-        supported_action_families: ["turnover", "payout", "net_value_flow", "list_movements", "stock_snapshot", "supplier_overlap"],
+            "value_flow",
+            "movement_evidence",
+            "business_overview",
+            "inventory_stock_snapshot",
+            "inventory_supplier_overlap"
+        ],
+        supported_action_families: [
+            "turnover",
+            "payout",
+            "net_value_flow",
+            "list_movements",
+            "broad_evaluation",
+            "stock_snapshot",
+            "supplier_overlap"
+        ],
         planning_tags: ["movement", "comparison", "ranking", "aggregation", "monthly_aggregation"],
         required_axes_any_of: [
             ["period", "account"],
@@ -110,11 +126,19 @@ const PRIMITIVE_CONTRACTS = [
         supported_fact_families: [
             "document_evidence",
             "activity_lifecycle",
+            "business_overview",
             "inventory_purchase_provenance",
             "inventory_sale_trace",
             "inventory_supplier_overlap"
         ],
-        supported_action_families: ["list_documents", "activity_duration", "purchase_provenance", "sale_trace", "supplier_overlap"],
+        supported_action_families: [
+            "list_documents",
+            "activity_duration",
+            "broad_evaluation",
+            "purchase_provenance",
+            "sale_trace",
+            "supplier_overlap"
+        ],
         planning_tags: ["document"],
         required_axes_any_of: [
             ["document"],
@@ -136,8 +160,8 @@ const PRIMITIVE_CONTRACTS = [
         primitive_id: "aggregate_by_axis",
         purpose: "Aggregate already-scoped 1C evidence by a business axis such as counterparty, contract, or period.",
         decomposition_hints: ["aggregate_checked_amounts", "aggregate_ranked_axis_values", "aggregate_by_month"],
-        supported_fact_families: ["value_flow", "inventory_stock_snapshot", "inventory_supplier_overlap"],
+        supported_fact_families: ["value_flow", "business_overview", "inventory_stock_snapshot", "inventory_supplier_overlap"],
-        supported_action_families: ["turnover", "payout", "net_value_flow", "stock_snapshot", "supplier_overlap"],
+        supported_action_families: ["turnover", "payout", "net_value_flow", "broad_evaluation", "stock_snapshot", "supplier_overlap"],
         planning_tags: ["aggregation", "ranking", "monthly_aggregation"],
         required_axes_any_of: [
             ["aggregate_axis", "period"],
@@ -178,6 +202,7 @@ const PRIMITIVE_CONTRACTS = [
             "document_evidence",
             "movement_evidence",
             "activity_lifecycle",
+            "business_overview",
             "inventory_stock_snapshot",
             "inventory_purchase_provenance",
             "inventory_sale_trace",
@@ -196,6 +221,7 @@ const PRIMITIVE_CONTRACTS = [
             "list_documents",
             "list_movements",
             "activity_duration",
+            "broad_evaluation",
             "stock_snapshot",
             "purchase_provenance",
             "sale_trace",
@@ -216,6 +242,7 @@ const PRIMITIVE_CONTRACTS = [
         decomposition_hints: ["explain_evidence_basis"],
         supported_fact_families: [
             "activity_lifecycle",
+            "business_overview",
             "inventory_stock_snapshot",
             "inventory_purchase_provenance",
             "inventory_sale_trace",
@@ -223,13 +250,14 @@ const PRIMITIVE_CONTRACTS = [
         ],
         supported_action_families: [
             "activity_duration",
+            "broad_evaluation",
             "stock_snapshot",
             "purchase_provenance",
             "sale_trace",
             "supplier_overlap",
             "purchase_to_sale_chain"
         ],
-        planning_tags: ["explanation", "inventory"],
+        planning_tags: ["explanation", "inventory", "business_overview", "bounded_inference"],
         required_axes_any_of: [["evidence_basis"], ["primitive_id"], ["source_rows_summary"]],
         optional_axes: ["coverage_target", "domain_family", "item", "warehouse", "as_of_date", "supplier", "buyer"],
         output_fact_kinds: ["confirmed_facts", "inferred_facts", "unknown_facts"],
@@ -414,6 +442,24 @@ const CHAIN_TEMPLATES = [
         planning_tags: ["document", "explanation", "coverage", "bounded_inference", "activity_window", "legal_fact_boundary"],
         safe_for_model_planning: true,
         requires_evidence_gate: true
+    },
+    {
+        chain_id: "business_overview",
+        semantic_data_need: "business overview evidence with bounded analyst interpretation",
+        chain_summary: "Collect organization-scoped movement and document evidence, aggregate checked business signals, probe coverage, and explain profit/margin limits before giving a bounded analyst overview.",
+        fallback_primitives: [
+            "query_movements",
+            "aggregate_by_axis",
+            "query_documents",
+            "probe_coverage",
+            "explain_evidence_basis"
+        ],
+        base_required_axes: ["organization", "aggregate_axis", "amount", "coverage_target", "evidence_basis", "profit_margin_boundary"],
+        supported_fact_families: ["business_overview"],
+        supported_action_families: ["broad_evaluation"],
+        planning_tags: ["business_overview", "movement", "document", "aggregation", "coverage", "explanation", "bounded_inference"],
+        safe_for_model_planning: true,
+        requires_evidence_gate: true
     }
 ];
 const CHAIN_TEMPLATE_MAP = new Map(CHAIN_TEMPLATES.map((template) => [template.chain_id, template]));
@@ -477,6 +523,15 @@ function tagSetFromFactAxisInput(input) {
     if (input.business_fact_family === "value_flow") {
         tags.add("movement");
     }
+    if (input.business_fact_family === "business_overview") {
+        tags.add("business_overview");
+        tags.add("movement");
+        tags.add("document");
+        tags.add("aggregation");
+        tags.add("coverage");
+        tags.add("explanation");
+        tags.add("bounded_inference");
+    }
     if (input.business_fact_family?.startsWith("inventory_")) {
         tags.add("inventory");
     }

llm_normalizer/backend/dist/services/assistantMcpDiscoveryDataNeedGraph.js

@@ -44,6 +44,14 @@ function businessFactFamilyFor(input) {
     if (combined.includes("entity discovery") || combined.includes("entity_resolution")) {
         return "entity_grounding";
     }
+    if (combined.includes("broad_business_evaluation") ||
+        combined.includes("broad_evaluation") ||
+        combined.includes("business overview") ||
+        combined.includes("business_overview") ||
+        combined.includes("company analysis") ||
+        combined.includes("business audit")) {
+        return "business_overview";
+    }
     if (combined.includes("inventory") ||
         combined.includes("stock") ||
         combined.includes("warehouse") ||
@@ -113,6 +121,9 @@ function timeScopeNeedFor(input) {
     if (input.family === "activity_lifecycle") {
         return "open_activity_window";
     }
+    if (input.family === "business_overview") {
+        return input.explicitDateScope ? "explicit_period" : "all_time_scope";
+    }
     if (input.family === "inventory_stock_snapshot" || input.family === "inventory_supplier_overlap") {
         return input.explicitDateScope ? "explicit_period" : "as_of_date_required";
     }
@@ -193,6 +204,9 @@ function proofExpectationFor(input) {
     if (input.family === "activity_lifecycle") {
         return "bounded_inference";
     }
+    if (input.family === "business_overview") {
+        return "bounded_inference";
+    }
     return "coverage_checked_fact";
 }
 function decompositionCandidatesFor(input) {
@@ -264,6 +278,15 @@ function decompositionCandidatesFor(input) {
         pushUnique(result, "explain_evidence_basis");
         return result;
     }
+    if (input.family === "business_overview") {
+        pushUnique(result, "collect_scoped_movements");
+        pushUnique(result, "aggregate_checked_amounts");
+        pushUnique(result, "aggregate_ranked_axis_values");
+        pushUnique(result, "fetch_supporting_documents");
+        pushUnique(result, "probe_coverage");
+        pushUnique(result, "explain_evidence_basis");
+        return result;
+    }
     if (input.family === "inventory_stock_snapshot") {
         pushUnique(result, "fetch_scoped_movements");
         pushUnique(result, "aggregate_checked_amounts");
@@ -300,6 +323,11 @@ function forbiddenOverclaimFlagsFor(family) {
     if (family === "activity_lifecycle") {
         pushUnique(result, "no_legal_age_claim_without_evidence");
     }
+    if (family === "business_overview") {
+        pushUnique(result, "no_unchecked_fact_totals");
+        pushUnique(result, "no_unchecked_business_health_claim");
+        pushUnique(result, "no_profit_or_margin_claim_without_evidence");
+    }
     if (family === "value_flow" || family === "movement_evidence" || family === "document_evidence") {
         pushUnique(result, "no_unchecked_fact_totals");
     }
@@ -372,8 +400,14 @@ function buildAssistantMcpDiscoveryDataNeedGraph(input) {
         !explicitOrganizationScope) {
         pushUnique(clarificationGaps, "organization");
     }
+    else if (subjectCandidates.length === 0 &&
+        businessFactFamily === "business_overview" &&
+        !explicitOrganizationScope) {
+        pushUnique(clarificationGaps, "organization");
+    }
     else if (subjectCandidates.length === 0 &&
         businessFactFamily !== "schema_surface" &&
+        businessFactFamily !== "business_overview" &&
         !openScopeWithoutSubject &&
         !metadataScopedOpenLaneWithoutSubject &&
         !inventoryStockSnapshotWithoutSubject) {
@@ -425,6 +459,9 @@ function buildAssistantMcpDiscoveryDataNeedGraph(input) {
     if (allTimeScopeHint) {
         pushReason(reasonCodes, "data_need_graph_all_time_scope_hint");
     }
+    if (businessFactFamily === "business_overview" && !explicitDateScope) {
+        pushReason(reasonCodes, "data_need_graph_business_overview_defaults_to_all_time_scope");
+    }
     if (clarificationGaps.includes("organization")) {
         pushReason(reasonCodes, "data_need_graph_open_scope_total_needs_organization");
     }

llm_normalizer/backend/dist/services/assistantMcpDiscoveryPilotExecutor.js

@@ -2065,6 +2065,8 @@ function pilotScopeForPlanner(planner) {
         case "value_flow_ranking":
         case "value_flow":
             return valueFlowPilotProfile(planner).scope;
+        case "business_overview":
+            return "business_overview_route_template_v1";
         case "document_evidence":
             return "counterparty_document_evidence_query_documents_v1";
         case "lifecycle":

llm_normalizer/backend/dist/services/assistantMcpDiscoveryPlanner.js

@@ -676,6 +676,31 @@ function recipeFor(input) {
             extraReasons: primitiveSelection.reasonCodes
         });
     }
+    if (graphFactFamily === "business_overview") {
+        pushUnique(axes, "organization");
+        pushUnique(axes, "aggregate_axis");
+        pushUnique(axes, "amount");
+        pushUnique(axes, "coverage_target");
+        pushUnique(axes, "evidence_basis");
+        pushUnique(axes, "profit_margin_boundary");
+        const template = (0, assistantMcpCatalogIndex_1.getAssistantMcpCatalogChainTemplate)("business_overview");
+        const primitiveSelection = selectPrimitivesFromGraphAndCatalog({
+            dataNeedGraph,
+            fallbackPrimitives: template.fallback_primitives,
+            requiredAxes: axes,
+            metadataSurface: input.metadataSurface,
+            actionFamily: action || graphAction,
+            allowAggregateByAxis: true,
+            selectedChainId: "business_overview"
+        });
+        return recipeFromCatalogChainTemplate({
+            chainId: "business_overview",
+            axes,
+            primitives: primitiveSelection.primitives,
+            reason: "planner_selected_business_overview_from_data_need_graph",
+            extraReasons: primitiveSelection.reasonCodes
+        });
+    }
     if (graphFactFamily === "activity_lifecycle") {
         pushUnique(axes, "document_date");
         pushUnique(axes, "coverage_target");

llm_normalizer/backend/src/services/assistantMcpCatalogIndex.ts

@@ -20,6 +20,7 @@ export type AssistantMcpCatalogChainTemplateId =
   | "value_flow_comparison"
   | "value_flow_ranking"
   | "lifecycle"
+  | "business_overview"
   | "movement_evidence"
   | "document_evidence"
   | "entity_resolution";
@@ -110,6 +111,7 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
       "document_evidence",
       "movement_evidence",
       "activity_lifecycle",
+      "business_overview",
       "inventory_purchase_provenance",
       "inventory_sale_trace",
       "inventory_supplier_overlap"
@@ -122,6 +124,7 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
       "list_documents",
       "list_movements",
       "activity_duration",
+      "broad_evaluation",
       "purchase_provenance",
       "sale_trace",
       "supplier_overlap"
@@ -143,8 +146,22 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
       "collect_outgoing_movements",
       "fetch_scoped_movements"
     ],
-    supported_fact_families: ["value_flow", "movement_evidence", "inventory_stock_snapshot", "inventory_supplier_overlap"],
+    supported_fact_families: [
-    supported_action_families: ["turnover", "payout", "net_value_flow", "list_movements", "stock_snapshot", "supplier_overlap"],
+      "value_flow",
+      "movement_evidence",
+      "business_overview",
+      "inventory_stock_snapshot",
+      "inventory_supplier_overlap"
+    ],
+    supported_action_families: [
+      "turnover",
+      "payout",
+      "net_value_flow",
+      "list_movements",
+      "broad_evaluation",
+      "stock_snapshot",
+      "supplier_overlap"
+    ],
     planning_tags: ["movement", "comparison", "ranking", "aggregation", "monthly_aggregation"],
     required_axes_any_of: [
       ["period", "account"],
@@ -169,11 +186,19 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
     supported_fact_families: [
       "document_evidence",
       "activity_lifecycle",
+      "business_overview",
       "inventory_purchase_provenance",
       "inventory_sale_trace",
       "inventory_supplier_overlap"
     ],
-    supported_action_families: ["list_documents", "activity_duration", "purchase_provenance", "sale_trace", "supplier_overlap"],
+    supported_action_families: [
+      "list_documents",
+      "activity_duration",
+      "broad_evaluation",
+      "purchase_provenance",
+      "sale_trace",
+      "supplier_overlap"
+    ],
     planning_tags: ["document"],
     required_axes_any_of: [
       ["document"],
@@ -195,8 +220,8 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
     primitive_id: "aggregate_by_axis",
     purpose: "Aggregate already-scoped 1C evidence by a business axis such as counterparty, contract, or period.",
     decomposition_hints: ["aggregate_checked_amounts", "aggregate_ranked_axis_values", "aggregate_by_month"],
-    supported_fact_families: ["value_flow", "inventory_stock_snapshot", "inventory_supplier_overlap"],
+    supported_fact_families: ["value_flow", "business_overview", "inventory_stock_snapshot", "inventory_supplier_overlap"],
-    supported_action_families: ["turnover", "payout", "net_value_flow", "stock_snapshot", "supplier_overlap"],
+    supported_action_families: ["turnover", "payout", "net_value_flow", "broad_evaluation", "stock_snapshot", "supplier_overlap"],
     planning_tags: ["aggregation", "ranking", "monthly_aggregation"],
     required_axes_any_of: [
       ["aggregate_axis", "period"],
@@ -237,6 +262,7 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
       "document_evidence",
       "movement_evidence",
       "activity_lifecycle",
+      "business_overview",
       "inventory_stock_snapshot",
       "inventory_purchase_provenance",
       "inventory_sale_trace",
@@ -255,6 +281,7 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
       "list_documents",
       "list_movements",
       "activity_duration",
+      "broad_evaluation",
       "stock_snapshot",
       "purchase_provenance",
       "sale_trace",
@@ -275,6 +302,7 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
     decomposition_hints: ["explain_evidence_basis"],
     supported_fact_families: [
       "activity_lifecycle",
+      "business_overview",
       "inventory_stock_snapshot",
       "inventory_purchase_provenance",
       "inventory_sale_trace",
@@ -282,13 +310,14 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
     ],
     supported_action_families: [
       "activity_duration",
+      "broad_evaluation",
       "stock_snapshot",
       "purchase_provenance",
       "sale_trace",
       "supplier_overlap",
       "purchase_to_sale_chain"
     ],
-    planning_tags: ["explanation", "inventory"],
+    planning_tags: ["explanation", "inventory", "business_overview", "bounded_inference"],
     required_axes_any_of: [["evidence_basis"], ["primitive_id"], ["source_rows_summary"]],
     optional_axes: ["coverage_target", "domain_family", "item", "warehouse", "as_of_date", "supplier", "buyer"],
     output_fact_kinds: ["confirmed_facts", "inferred_facts", "unknown_facts"],
@@ -487,6 +516,25 @@ const CHAIN_TEMPLATES: AssistantMcpCatalogChainTemplateContract[] = [
     planning_tags: ["document", "explanation", "coverage", "bounded_inference", "activity_window", "legal_fact_boundary"],
     safe_for_model_planning: true,
     requires_evidence_gate: true
+  },
+  {
+    chain_id: "business_overview",
+    semantic_data_need: "business overview evidence with bounded analyst interpretation",
+    chain_summary:
+      "Collect organization-scoped movement and document evidence, aggregate checked business signals, probe coverage, and explain profit/margin limits before giving a bounded analyst overview.",
+    fallback_primitives: [
+      "query_movements",
+      "aggregate_by_axis",
+      "query_documents",
+      "probe_coverage",
+      "explain_evidence_basis"
+    ],
+    base_required_axes: ["organization", "aggregate_axis", "amount", "coverage_target", "evidence_basis", "profit_margin_boundary"],
+    supported_fact_families: ["business_overview"],
+    supported_action_families: ["broad_evaluation"],
+    planning_tags: ["business_overview", "movement", "document", "aggregation", "coverage", "explanation", "bounded_inference"],
+    safe_for_model_planning: true,
+    requires_evidence_gate: true
   }
 ];
 
@@ -564,6 +612,15 @@ function tagSetFromFactAxisInput(input: AssistantMcpCatalogFactAxisSearchInput):
   if (input.business_fact_family === "value_flow") {
     tags.add("movement");
   }
+  if (input.business_fact_family === "business_overview") {
+    tags.add("business_overview");
+    tags.add("movement");
+    tags.add("document");
+    tags.add("aggregation");
+    tags.add("coverage");
+    tags.add("explanation");
+    tags.add("bounded_inference");
+  }
   if (input.business_fact_family?.startsWith("inventory_")) {
     tags.add("inventory");
   }

llm_normalizer/backend/src/services/assistantMcpDiscoveryDataNeedGraph.ts

@@ -86,6 +86,16 @@ function businessFactFamilyFor(input: {
   if (combined.includes("entity discovery") || combined.includes("entity_resolution")) {
     return "entity_grounding";
   }
+  if (
+    combined.includes("broad_business_evaluation") ||
+    combined.includes("broad_evaluation") ||
+    combined.includes("business overview") ||
+    combined.includes("business_overview") ||
+    combined.includes("company analysis") ||
+    combined.includes("business audit")
+  ) {
+    return "business_overview";
+  }
   if (
     combined.includes("inventory") ||
     combined.includes("stock") ||
@@ -174,6 +184,9 @@ function timeScopeNeedFor(input: {
   if (input.family === "activity_lifecycle") {
     return "open_activity_window";
   }
+  if (input.family === "business_overview") {
+    return input.explicitDateScope ? "explicit_period" : "all_time_scope";
+  }
   if (input.family === "inventory_stock_snapshot" || input.family === "inventory_supplier_overlap") {
     return input.explicitDateScope ? "explicit_period" : "as_of_date_required";
   }
@@ -291,6 +304,9 @@ function proofExpectationFor(input: {
   if (input.family === "activity_lifecycle") {
     return "bounded_inference";
   }
+  if (input.family === "business_overview") {
+    return "bounded_inference";
+  }
   return "coverage_checked_fact";
 }
 
@@ -370,6 +386,15 @@ function decompositionCandidatesFor(input: {
     pushUnique(result, "explain_evidence_basis");
     return result;
   }
+  if (input.family === "business_overview") {
+    pushUnique(result, "collect_scoped_movements");
+    pushUnique(result, "aggregate_checked_amounts");
+    pushUnique(result, "aggregate_ranked_axis_values");
+    pushUnique(result, "fetch_supporting_documents");
+    pushUnique(result, "probe_coverage");
+    pushUnique(result, "explain_evidence_basis");
+    return result;
+  }
   if (input.family === "inventory_stock_snapshot") {
     pushUnique(result, "fetch_scoped_movements");
     pushUnique(result, "aggregate_checked_amounts");
@@ -407,6 +432,11 @@ function forbiddenOverclaimFlagsFor(family: string | null): string[] {
   if (family === "activity_lifecycle") {
     pushUnique(result, "no_legal_age_claim_without_evidence");
   }
+  if (family === "business_overview") {
+    pushUnique(result, "no_unchecked_fact_totals");
+    pushUnique(result, "no_unchecked_business_health_claim");
+    pushUnique(result, "no_profit_or_margin_claim_without_evidence");
+  }
   if (family === "value_flow" || family === "movement_evidence" || family === "document_evidence") {
     pushUnique(result, "no_unchecked_fact_totals");
   }
@@ -487,9 +517,16 @@ export function buildAssistantMcpDiscoveryDataNeedGraph(
     !explicitOrganizationScope
   ) {
     pushUnique(clarificationGaps, "organization");
+  } else if (
+    subjectCandidates.length === 0 &&
+    businessFactFamily === "business_overview" &&
+    !explicitOrganizationScope
+  ) {
+    pushUnique(clarificationGaps, "organization");
   } else if (
     subjectCandidates.length === 0 &&
     businessFactFamily !== "schema_surface" &&
+    businessFactFamily !== "business_overview" &&
     !openScopeWithoutSubject &&
     !metadataScopedOpenLaneWithoutSubject &&
     !inventoryStockSnapshotWithoutSubject
@@ -541,6 +578,9 @@ export function buildAssistantMcpDiscoveryDataNeedGraph(
   if (allTimeScopeHint) {
     pushReason(reasonCodes, "data_need_graph_all_time_scope_hint");
   }
+  if (businessFactFamily === "business_overview" && !explicitDateScope) {
+    pushReason(reasonCodes, "data_need_graph_business_overview_defaults_to_all_time_scope");
+  }
   if (clarificationGaps.includes("organization")) {
     pushReason(reasonCodes, "data_need_graph_open_scope_total_needs_organization");
   }

llm_normalizer/backend/src/services/assistantMcpDiscoveryPilotExecutor.ts

@@ -200,6 +200,7 @@ export type AssistantMcpDiscoveryPilotScope =
   | "counterparty_value_flow_query_movements_v1"
   | "counterparty_supplier_payout_query_movements_v1"
   | "counterparty_bidirectional_value_flow_query_movements_v1"
+  | "business_overview_route_template_v1"
   | "inventory_route_template_v1";
 
 export interface AssistantMcpDiscoveryPilotExecutionContract {
@@ -2713,6 +2714,8 @@ function pilotScopeForPlanner(planner: AssistantMcpDiscoveryPlannerContract): As
     case "value_flow_ranking":
     case "value_flow":
       return valueFlowPilotProfile(planner).scope;
+    case "business_overview":
+      return "business_overview_route_template_v1";
     case "document_evidence":
       return "counterparty_document_evidence_query_documents_v1";
     case "lifecycle":

llm_normalizer/backend/src/services/assistantMcpDiscoveryPlanner.ts

@@ -66,6 +66,7 @@ export type AssistantMcpDiscoveryChainId =
   | "value_flow_comparison"
   | "value_flow_ranking"
   | "lifecycle"
+  | "business_overview"
   | "movement_evidence"
   | "document_evidence"
   | "entity_resolution";
@@ -922,6 +923,32 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
     });
   }
 
+  if (graphFactFamily === "business_overview") {
+    pushUnique(axes, "organization");
+    pushUnique(axes, "aggregate_axis");
+    pushUnique(axes, "amount");
+    pushUnique(axes, "coverage_target");
+    pushUnique(axes, "evidence_basis");
+    pushUnique(axes, "profit_margin_boundary");
+    const template = getAssistantMcpCatalogChainTemplate("business_overview");
+    const primitiveSelection = selectPrimitivesFromGraphAndCatalog({
+      dataNeedGraph,
+      fallbackPrimitives: template.fallback_primitives,
+      requiredAxes: axes,
+      metadataSurface: input.metadataSurface,
+      actionFamily: action || graphAction,
+      allowAggregateByAxis: true,
+      selectedChainId: "business_overview"
+    });
+    return recipeFromCatalogChainTemplate({
+      chainId: "business_overview",
+      axes,
+      primitives: primitiveSelection.primitives,
+      reason: "planner_selected_business_overview_from_data_need_graph",
+      extraReasons: primitiveSelection.reasonCodes
+    });
+  }
+
   if (graphFactFamily === "activity_lifecycle") {
     pushUnique(axes, "document_date");
     pushUnique(axes, "coverage_target");

llm_normalizer/backend/tests/assistantMcpCatalogIndex.test.ts

@@ -42,7 +42,8 @@ describe("assistant MCP catalog index", () => {
       "value_flow",
       "value_flow_comparison",
       "value_flow_ranking",
-      "lifecycle"
+      "lifecycle",
+      "business_overview"
     ]);
     for (const template of index.chain_templates) {
       expect(template.safe_for_model_planning).toBe(true);
@@ -63,6 +64,7 @@ describe("assistant MCP catalog index", () => {
     const valueFlowComparisonTemplate = getAssistantMcpCatalogChainTemplate("value_flow_comparison");
     const valueFlowRankingTemplate = getAssistantMcpCatalogChainTemplate("value_flow_ranking");
     const lifecycleTemplate = getAssistantMcpCatalogChainTemplate("lifecycle");
+    const businessOverviewTemplate = getAssistantMcpCatalogChainTemplate("business_overview");
     const inventorySnapshotTemplate = getAssistantMcpCatalogChainTemplate("inventory_stock_snapshot");
     const inventoryProvenanceTemplate = getAssistantMcpCatalogChainTemplate("inventory_purchase_provenance");
     const inventorySaleTraceTemplate = getAssistantMcpCatalogChainTemplate("inventory_sale_trace");
@@ -94,6 +96,19 @@ describe("assistant MCP catalog index", () => {
     expect(lifecycleTemplate.planning_tags).toEqual(
       expect.arrayContaining(["bounded_inference", "activity_window", "legal_fact_boundary"])
     );
+    expect(businessOverviewTemplate.fallback_primitives).toEqual([
+      "query_movements",
+      "aggregate_by_axis",
+      "query_documents",
+      "probe_coverage",
+      "explain_evidence_basis"
+    ]);
+    expect(businessOverviewTemplate.base_required_axes).toEqual(
+      expect.arrayContaining(["organization", "aggregate_axis", "coverage_target", "profit_margin_boundary"])
+    );
+    expect(businessOverviewTemplate.planning_tags).toEqual(
+      expect.arrayContaining(["business_overview", "bounded_inference", "explanation"])
+    );
     expect(inventorySnapshotTemplate.base_required_axes).toEqual(
       expect.arrayContaining(["as_of_date", "warehouse", "aggregate_axis", "quantity", "coverage_target"])
     );
@@ -170,10 +185,35 @@ describe("assistant MCP catalog index", () => {
       ranking_need: "top_desc",
       required_axes: ["organization", "period", "aggregate_axis", "amount", "coverage_target"]
     });
+    const businessOverviewTemplates = searchAssistantMcpCatalogChainTemplatesByFactAxis({
+      business_fact_family: "business_overview",
+      action_family: "broad_evaluation",
+      required_axes: ["organization", "all_time_scope", "aggregate_axis", "amount", "coverage_target", "evidence_basis"]
+    });
 
     expect(documentTemplates[0]).toBe("document_evidence");
     expect(comparisonTemplates[0]).toBe("value_flow_comparison");
     expect(rankingTemplates[0]).toBe("value_flow_ranking");
+    expect(businessOverviewTemplates[0]).toBe("business_overview");
+  });
+
+  it("can search reviewed primitives for bounded business overview chains", () => {
+    const primitives = searchAssistantMcpCatalogPrimitivesByFactAxis({
+      business_fact_family: "business_overview",
+      action_family: "broad_evaluation",
+      required_axes: ["organization", "all_time_scope", "aggregate_axis", "amount", "coverage_target", "evidence_basis"]
+    });
+
+    expect(primitives).toEqual(
+      expect.arrayContaining([
+        "query_movements",
+        "aggregate_by_axis",
+        "query_documents",
+        "probe_coverage",
+        "explain_evidence_basis"
+      ])
+    );
+    expect(primitives).not.toContain("search_business_entity");
   });
 
   it("can search reviewed primitives for inventory stock snapshot chains", () => {

llm_normalizer/backend/tests/assistantMcpDiscoveryDataNeedGraph.test.ts

@@ -71,6 +71,56 @@ describe("assistant MCP discovery data need graph", () => {
     expect(result.forbidden_overclaim_flags).toContain("no_unresolved_entity_claim");
   });
 
+  it("models broad business evaluation as a bounded business-overview evidence graph", () => {
+    const result = buildAssistantMcpDiscoveryDataNeedGraph({
+      semanticDataNeed: "business overview evidence with bounded analyst interpretation",
+      rawUtterance: "дай полный анализ компании и LLM-аудит бизнеса",
+      turnMeaning: {
+        asked_domain_family: "business_overview",
+        asked_action_family: "broad_evaluation",
+        explicit_organization_scope: "ООО Альтернатива Плюс"
+      }
+    });
+
+    expect(result.business_fact_family).toBe("business_overview");
+    expect(result.action_family).toBe("broad_evaluation");
+    expect(result.time_scope_need).toBe("all_time_scope");
+    expect(result.proof_expectation).toBe("bounded_inference");
+    expect(result.clarification_gaps).toEqual([]);
+    expect(result.decomposition_candidates).toEqual([
+      "collect_scoped_movements",
+      "aggregate_checked_amounts",
+      "aggregate_ranked_axis_values",
+      "fetch_supporting_documents",
+      "probe_coverage",
+      "explain_evidence_basis"
+    ]);
+    expect(result.forbidden_overclaim_flags).toEqual(
+      expect.arrayContaining([
+        "no_unchecked_business_health_claim",
+        "no_profit_or_margin_claim_without_evidence"
+      ])
+    );
+    expect(result.reason_codes).toContain("data_need_graph_family_business_overview");
+    expect(result.reason_codes).toContain("data_need_graph_business_overview_defaults_to_all_time_scope");
+  });
+
+  it("requires organization scope before a fresh broad business overview probe", () => {
+    const result = buildAssistantMcpDiscoveryDataNeedGraph({
+      semanticDataNeed: "business overview evidence with bounded analyst interpretation",
+      rawUtterance: "как оценишь деятельность компании?",
+      turnMeaning: {
+        asked_domain_family: "business_overview",
+        asked_action_family: "broad_evaluation",
+        unsupported_but_understood_family: "broad_business_evaluation"
+      }
+    });
+
+    expect(result.business_fact_family).toBe("business_overview");
+    expect(result.clarification_gaps).toEqual(["organization"]);
+    expect(result.proof_expectation).toBe("clarification_required");
+  });
+
   it("builds a subjectless inventory stock snapshot graph with an as-of date gate", () => {
     const result = buildAssistantMcpDiscoveryDataNeedGraph({
       semanticDataNeed: "inventory stock snapshot evidence",

llm_normalizer/backend/tests/assistantMcpDiscoveryPilotExecutor.test.ts

@@ -103,6 +103,57 @@ describe("assistant MCP discovery pilot executor", () => {
     expect(deps.executeAddressMcpQuery).not.toHaveBeenCalled();
   });
 
+  it("keeps business overview as an explicit unsupported runtime scope until the fresh multi-probe bridge exists", async () => {
+    const planner = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: [],
+        business_fact_family: "business_overview",
+        action_family: "broad_evaluation",
+        aggregation_need: null,
+        time_scope_need: "all_time_scope",
+        comparison_need: null,
+        ranking_need: null,
+        proof_expectation: "bounded_inference",
+        clarification_gaps: [],
+        decomposition_candidates: [
+          "collect_scoped_movements",
+          "aggregate_checked_amounts",
+          "aggregate_ranked_axis_values",
+          "fetch_supporting_documents",
+          "probe_coverage",
+          "explain_evidence_basis"
+        ],
+        forbidden_overclaim_flags: ["no_raw_model_claims", "no_profit_or_margin_claim_without_evidence"],
+        reason_codes: ["data_need_graph_built", "data_need_graph_family_business_overview"]
+      },
+      turnMeaning: {
+        asked_domain_family: "business_overview",
+        asked_action_family: "broad_evaluation",
+        explicit_organization_scope: "ООО Альтернатива Плюс"
+      }
+    });
+    const deps = buildDeps([]);
+
+    const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
+
+    expect(planner.planner_status).toBe("ready_for_execution");
+    expect(result.pilot_status).toBe("unsupported");
+    expect(result.pilot_scope).toBe("business_overview_route_template_v1");
+    expect(result.mcp_execution_performed).toBe(false);
+    expect(result.executed_primitives).toEqual([]);
+    expect(result.skipped_primitives).toEqual([
+      "query_movements",
+      "aggregate_by_axis",
+      "query_documents",
+      "probe_coverage",
+      "explain_evidence_basis"
+    ]);
+    expect(result.reason_codes).toContain("pilot_scope_unsupported_for_live_execution");
+    expect(deps.executeAddressMcpQuery).not.toHaveBeenCalled();
+  });
+
   it("uses the explicit selected chain id when choosing the movement pilot scope", async () => {
     const planner = planAssistantMcpDiscovery({
       turnMeaning: {

llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts

@@ -184,6 +184,18 @@ describe("assistant MCP discovery planner", () => {
           }
         }
       },
+      {
+        name: "business_overview",
+        expected: "business_overview",
+        input: {
+          dataNeedGraph: graph("business_overview", "broad_evaluation", { subject_candidates: [] }),
+          turnMeaning: {
+            asked_action_family: "broad_evaluation",
+            explicit_organization_scope: "Org",
+            explicit_date_scope: "2020"
+          }
+        }
+      },
       {
         name: "inventory_stock_snapshot",
         expected: "inventory_stock_snapshot",
@@ -209,6 +221,73 @@ describe("assistant MCP discovery planner", () => {
     }
   });
 
+  it("builds a catalog-compatible business overview plan without pretending the fresh runtime probe exists yet", () => {
+    const result = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: [],
+        business_fact_family: "business_overview",
+        action_family: "broad_evaluation",
+        aggregation_need: null,
+        time_scope_need: "all_time_scope",
+        comparison_need: null,
+        ranking_need: null,
+        proof_expectation: "bounded_inference",
+        clarification_gaps: [],
+        decomposition_candidates: [
+          "collect_scoped_movements",
+          "aggregate_checked_amounts",
+          "aggregate_ranked_axis_values",
+          "fetch_supporting_documents",
+          "probe_coverage",
+          "explain_evidence_basis"
+        ],
+        forbidden_overclaim_flags: [
+          "no_raw_model_claims",
+          "no_unchecked_business_health_claim",
+          "no_profit_or_margin_claim_without_evidence"
+        ],
+        reason_codes: ["data_need_graph_built", "data_need_graph_family_business_overview"]
+      },
+      turnMeaning: {
+        asked_domain_family: "business_overview",
+        asked_action_family: "broad_evaluation",
+        explicit_organization_scope: "ООО Альтернатива Плюс"
+      }
+    });
+
+    expect(result.planner_status).toBe("ready_for_execution");
+    expect(result.selected_chain_id).toBe("business_overview");
+    expect(result.semantic_data_need).toBe("business overview evidence with bounded analyst interpretation");
+    expect(result.proposed_primitives).toEqual([
+      "query_movements",
+      "aggregate_by_axis",
+      "query_documents",
+      "probe_coverage",
+      "explain_evidence_basis"
+    ]);
+    expect(result.required_axes).toEqual([
+      "organization",
+      "all_time_scope",
+      "aggregate_axis",
+      "amount",
+      "coverage_target",
+      "evidence_basis",
+      "profit_margin_boundary"
+    ]);
+    expect(result.catalog_chain_template_matches[0]).toBe("business_overview");
+    expect(result.catalog_chain_template_alignment).toMatchObject({
+      alignment_status: "selected_matches_top",
+      top_chain_template_match: "business_overview",
+      selected_chain_template_rank: 1,
+      selected_chain_matches_top: true
+    });
+    expect(result.catalog_review.review_status).toBe("catalog_compatible");
+    expect(result.reason_codes).toContain("planner_selected_business_overview_from_data_need_graph");
+    expect(result.reason_codes).toContain("planner_instantiated_catalog_chain_template_business_overview");
+  });
+
   it("keeps bidirectional value-flow comparison executable when checked totals are derived without aggregate_by_axis", () => {
     const result = planAssistantMcpDiscovery({
       dataNeedGraph: {

llm_normalizer/backend/tests/assistantMcpDiscoveryRuntimeEntryPoint.test.ts

@@ -134,7 +134,8 @@ describe("assistant MCP discovery runtime entry point", () => {
       asked_action_family: "inspect_fields"
     });
     expect(result.bridge?.pilot.pilot_scope).toBe("metadata_inspection_v1");
-    expect(result.bridge?.answer_draft.headline).toContain("метаданным 1С");
+    expect(result.bridge?.answer_draft.headline).toContain("схеме 1С");
+    expect(result.bridge?.answer_draft.headline).toContain("подходящие объекты");
   });
 
   it("runs the bridge for raw entity-resolution wording and executes the full grounding chain", async () => {