Reconciliation & Continuity Pipeline

Closes the Loop on Every Action.

The Reconciliation Pipeline ensures every action is verified, normalized, and feeds back into organizational memory. It is the mechanism that makes SpineWorkspace self-improving.

Design Principles

1. Every action closes the loop — No action is orphaned
2. Intended vs. actual — Every outcome is compared to intent
3. Discrepancies are surfaced — Failures are never silently swallowed
4. Memory is promoted — Learnings feed back to the Spine
5. Next work is created — Every cycle generates the next cycle

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Pipeline Steps

Execution Receipt → Re-ingestion → Normalization & Entity Resolution → State Update → Reconciliation → Discrepancy Handling → Memory Promotion → Next Work

Step	Purpose	Output
Execution Receipt	Confirm Acknowledgement	Receipt record
Re-ingestion	New Data / Events	Raw events
Normalization & Entity Resolution	Resolve entities across stores	Normalized entities
State Update	Spine Update	Updated Spine state
Reconciliation	Intended vs. Actual	Reconciliation report
Discrepancy Handling	Retry / Compensate	Resolution actions
Memory Promotion	Knowledge / Learning	Memory entries
Next Work	Created / Updated	New work items

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Step 1: Execution Receipt

When an action executes, the Execution Fabric produces a receipt:

interface ExecutionReceipt {
  id: string;
  executionToken: string;
  action: ActionDef;
  status: 'success' | 'partial' | 'failure';
  result: ActionResult;
  timestamp: string;
  duration: number;
  systemResponse: unknown;
}

Receipt Rules

• Receipts are immutable once created
• Receipts are stored in the Audit Store
• Receipts link back to the execution token
• Receipts include full system response for debugging

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Step 2: Re-ingestion

The receipt triggers re-ingestion of affected data:

Trigger	Re-ingestion
Write succeeded	Pull updated state from target system
Write partial	Pull partial state, flag discrepancy
Write failed	Log failure, no re-ingestion
Read succeeded	Normalize and store new data

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Step 3: Normalization & Entity Resolution

Re-ingested data is normalized and entity-resolved:

Operation	Description
Schema mapping	Map target system fields to Spine schema
Entity resolution	Match to existing Spine entities
Deduplication	Merge duplicate records
Enrichment	Add metadata and classification
Validation	Check data quality and completeness

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Step 4: State Update

The Spine is updated with normalized data:

Update Type	Description
Entity state	Update entity fields and status
Event recording	Record what happened
Decision recording	Record what was decided
Provenance	Record source, time, and attribution

State Update Rules

• Updates are atomic — all or nothing
• Updates are versioned — optimistic concurrency
• Updates are auditable — full change history
• Updates respect tenant isolation

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Step 5: Reconciliation

The reconciliation step compares intended vs. actual:

interface ReconciliationReport {
  executionToken: string;
  intended: ActionDef;
  actual: ActionResult;
  match: 'exact' | 'partial' | 'mismatch';
  discrepancies: Discrepancy[];
  timestamp: string;
}

Match Types

Type	Description	Action
Exact	Outcome matches intent perfectly	Close, promote memory
Partial	Some aspects matched, some didn't	Flag for review
Mismatch	Outcome differs from intent	Escalate, compensate

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Step 6: Discrepancy Handling

Discrepancies are handled based on severity:

Severity	Handling
Low	Auto-retry with correction
Medium	Queue for human review
High	Escalate immediately, compensate
Critical	Halt pipeline, alert admin

Compensation Actions

Action	Description
Retry	Re-execute with same or corrected parameters
Rollback	Undo the action if possible
Compensate	Execute a compensating action
Notify	Alert relevant humans
Escalate	Route to higher-authority agent or human

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Step 7: Memory Promotion

Learnings from the cycle are promoted to organizational memory:

Memory Type	Content
Success patterns	What worked, why it worked
Failure patterns	What failed, why it failed
Entity knowledge	New facts about entities
Process knowledge	Improved workflows and patterns
User preferences	How users like to work

Promotion Rules

• Memory is governed — same policies as all Spine data
• Memory is scoped — role-based access to memories
• Memory is timestamped — recency matters
• Memory is pruned — stale memories are archived

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Step 8: Next Work

Every cycle creates the next cycle:

Output	Description
New work items	Follow-up tasks from the current cycle
Updated work items	Modified priorities or status
New alerts	Issues detected during reconciliation
New decisions	Decisions requiring human judgment

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Loop State (Stored in Spine)

Every work item progresses through these states:

Identified → Contextualizing → Defined → Allocated → Deciding → Governing → Executing → Observing → Re-ingesting → Reconciling → Resolved → Learning → Continuing → Next Work

State	Description
Identified	Work item recognized
Contextualizing	Gathering context from Spine
Defined	Tasks decomposed and specified
Allocated	Assigned to human or agent
Deciding	Reasoning about options
Governing	Governance check pending
Executing	Action being performed
Observing	Monitoring execution outcome
Re-ingesting	Processing execution results
Reconciling	Verifying intent vs. outcome
Resolved	Work item completed
Learning	Feeding back to memory
Continuing	Next cycle beginning
Next Work	New work items created

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Outcomes

The Reconciliation Pipeline delivers:

• Faster execution — Every action is verified and improved
• Lower risk — Discrepancies are caught and handled
• Higher quality decisions — Learnings feed back to reasoning
• Audit ready — Full traceability from intent to outcome
• Organizational intelligence — Every cycle builds institutional knowledge