Unclassified

IntegrateWise — Final Canonical Model

Status: SUPERSEDED PLATFORM SYNTHESIS. This file does not supersede the
frozen architecture. Any conflicting product, Twin, schema, storage or
execution claims are historical. Current authority starts at
../architecture/ARCHITECTURE_LOCK.md.

Original status: CANONICAL — Supersedes all prior decks, specs, and architectural documents.
Owner: IntegrateWise Platform
Last Verified: 2026-07-25
UX Reference: Workbench should be similar to UI Bakery style


1. Final definition

IntegrateWise is operational continuity infrastructure that connects an organisation's tools, AI systems, data and work through one governed Spine Network, then projects the right entities, context, memory and capabilities into a role-aware User Workbench.

The user experiences:

ONE CONNECTED ECOSYSTEM
        +
ONE USER WORKBENCH
        +
ONE TWIN

The platform underneath maintains:

SPINE
MEMORY
PROJECTION
GOVERNANCE
CAPABILITIES
EXECUTION
CONTINUITY

2. The complete model

                          EXTERNAL ECOSYSTEM

     SaaS Tools · Databases · Files · MCP · AI Providers · Internal APIs
                                       │
                                       ▼
                          ONE AUTH-TO-ECOSYSTEM
                                       │
                                       ▼
                          INTEGRATION MANAGER

       API Connectors · MCP · AI Connectors · API Wrappers · Webhooks
                                       │
                                       ▼
                                  GATEWAY

                  Ingress · TenantGate · Authentication
                    Scope · Routing · Trace Context
                                       │
                                       ▼
                             LOADER RUNTIME

    ┌─────────────────┬─────────────────┬─────────────────┬─────────────────┐
    │                 │                 │                 │                 │
    ▼                 ▼                 ▼                 ▼                 ▼

 FLOW A            FLOW B            FLOW C            FLOW D          INGESTION
 Structured        Unstructured      AI Context        Platform        Queues
 Operational       Conversational    Cognitive         Binding         Per Flow

3. Flow A — Structured operational data

Flow A owns deterministic operational records:

Entities · Tuples · Fields · Relationships · Metrics · Events · Statuses · Ownership · Lifecycle state

Typical sources:

CRM · Support · Billing · Finance · Projects · Tasks · Product · HR · ITSM · Sales · Marketing · Engineering

Flow A is the primary structured substrate projected into Workbench tables, entity views, boards, queues and timelines.


4. Flow B — Unstructured context

Flow B owns communication, documents and semantic context:

Conversations · Threads · Messages · Documents · Attachments · Transcripts · Chunks · Embeddings · Entity links · Knowledge references

Flow B enriches Flow A:

Account entity
+
Support conversation
+
Email history
+
QBR document
+
Call transcript
=
Account continuity

5. Flow C — AI and cognitive continuity

Flow C owns AI-originated and AI-mediated material:

Twin sessions · External AI chats · Model outputs · Plans · Proposals · Tool calls · Generated artefacts · Candidate memory/knowledge/decisions · Agent outcomes

Flow C follows:

AI context → Brainstorming/session layer → Triage → Candidate → Evidence → Governance → Promote or reject

Flow C cannot directly mutate operational truth.


6. Flow D — Platform binding

Flow D is the stable platform-binding plane:

Identity · Tenant · Workspace · Membership · Role · Department · Industry · Permissions · Configuration · Connections · Credential references · Capabilities · Policies · Entitlements · Runtime bindings

Flow D binds Flow A, B and C to the correct trust, user, workspace and policy context.


7. Gateway

Ingress · TenantGate · Authentication · Scope · Routing · Trace Context

8. Normalizer and Triage (separate by design)

Deterministic Normalizer

Analyze → Classify → Filter → Refine → Extract → Validate → Sanity Check → Resolve identity → Sectorize

Triage Runtime and Promotion

Classify AI context → Extract candidate memory/knowledge → Attach evidence → Score confidence → Route review → Promote/reject

Platform Binding Validation

Identity · Tenant · Workspace · Role · Department · Industry · Permissions · Configuration

9. Core Spine — Stable Schema

Operational Truth

Entities · Tuples · Relationships · Events · Metrics · Lifecycle State · Commitments · Decisions

Knowledge & Evidence

Documents · Chunks · Embeddings · Source Links · Intelligence Evidence · Semantic Context · Provenance · Retrieval References

Memory & Continuity

User Memory · Work Memory · Org Memory · Entity Memory · Decision Memory · Outcome Memory · Continuity State · Agent Memory

10. Stable Core, Adaptive Projection

The Core Spine schema remains stable. The user-facing schema varies through projection.

Stable Core Spine
+
Projection Metadata
+
Active User Context
+
Policy
=
Adaptive User Workbench

Projection dimensions

Role × Department × Industry × Connector Category × Active Context × User and Tenant Policy × Available Capabilities × Data Freshness

11. Adaptive User Workbench

Tables · Entity Views · Pages · Boards · Queues · Timelines · Calendars · Documents · Approvals · Operational Canvases · Contextual Capabilities

UX Rule: Workbench should be similar to UI Bakery style

Normal state = Workbench-led
User clicks Ask / Assign / Proposal / Signal = Twin detail opens contextually
User clicks Chat AI = Conversational interface opens
User exits = Workbench returns to primary focus

Twin is a contextual next-panel, drawer or overlay attached to the active entity/task/decision/signal/document/queue/proposal/approval.

Chat AI — Flow C Entry Point

The Chat AI is a complete conversational interface that:

  1. Maps directly to the Spine — reads and writes through governed paths
  2. Brainstorming layer — free-form ideation, research, planning
  3. Triage the Twin — candidate memory, knowledge, and decisions flow from Chat AI through Triage into the Spine
  4. Evidence-backed — every AI output shows its sources and confidence
  5. Dual-mode:
    • Exploration mode — brainstorm, research, ask questions
    • Action mode — propose tasks, create entities, generate plans

The Chat AI is NOT a replacement for the Twin. They serve different purposes:

Chat AI = Exploratory intelligence (Flow C entry point)
Twin = Contextual intelligence (per-entity activation)

Chat AI triage path:

Chat AI conversation
→ Candidate memory/knowledge/decisions
→ Triage Runtime
→ Evidence attached
→ Governance review
→ Promote to Spine or reject

The user can move seamlessly between Chat AI and Twin:

  • Chat AI generates a proposal → Twin surfaces it in context
  • Twin identifies a gap → User opens Chat AI to explore
  • Chat AI creates a task → Twin shows it in the entity detail

12. Twin

Observe · Orient · Reason · Explain · Plan · Propose · Delegate · Monitor

The Twin must not occupy a permanently open sidebar by default.


13. Capability Fabric

Tool-to-Tool · Memory Fetch · MCP · Agent-to-Agent · Local · API · Workflow · Browser · Human Task

14. Governance

Policy · Authority · Evidence · Risk · Scope → Allow · Deny · Require Approval

15. Hermes (Execution Coordinator)

Bind approved plan · Select activated route · Coordinate · Retry · Monitor · Collect evidence · Reconcile

16. Execution Providers

API · MCP · Agent · Browser · Human · Workflow

17. Provider Outcome

Native acknowledgement · ID · Status · Evidence · Error · Result payload

18. Sync and Reconciliation

Re-ingest · Normalize · Compare · Verify · Resolve conflict · Close loop

19. Final continuity loop

CONNECT → AUTHENTICATE → INGEST → LOAD → NORMALIZE / TRIAGE → GOVERNED WRITE → SPINE → PROJECT → WORK → ASK / ASSIGN → PROPOSE → GOVERN → EXECUTE → ACKNOWLEDGE → RE-INGEST → VERIFY → RECONCILE → REHYDRATE → CONTINUE

20. Final freeze statement

IntegrateWise uses One Auth and the Integration Manager to connect the external ecosystem, Gateway and Loader Runtime to route information through Flow A, Flow B, Flow C and Flow D, deterministic Normalization and governed Triage to write into one stable Core Spine, and the Projection Engine to compose an Adaptive User Workbench based on role, department, industry, connector category, active context and policy. The Twin appears contextually to reason and propose; Capability Fabric resolves execution, Governance controls authority, Hermes coordinates the approved work, and Sync and Reconciliation verify the provider outcome before the Spine rehydrates the Workbench.


21. What is no longer canonical

  • 16 named agents as the primary product architecture
  • 21 Hubs as separate applications
  • Atlas Spine as a separate older model
  • Different physical schemas per role or connector
  • AI directly writing truth
  • Automatic execution based only on model confidence
  • OpenWebUI as the Twin runtime
  • Nango as the identity of the whole Integration Manager
  • Dashboards as the Workbench
  • Static departmental applications
  • Direct database access from Workbench components
  • Direct execution from Twin
  • Connector installation permanently adding arbitrary columns
  • AI chat transcripts directly becoming organisational memory

Agents, hubs, providers and infrastructure remain implementation options underneath the stable canon.