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# Controlled Workflow Specification

## Decision objective
**Workflow domain:** Invoice Processing
**Operating constraint:** Deterministic accuracy required, zero unauthorized PII leakage
**Declared systems:** PostgreSQL, FastAPI, Claude 3.5 Sonnet

## Authority boundary
The planner may prepare a typed action proposal. A deterministic control plane owns validation, policy evaluation, execution, and every write to an authoritative system. A human owner resolves ambiguity, low-confidence evidence, and policy conflicts.

## Execution path
1. **Capture & normalize** — accept only schema-valid source records; preserve source references and reject malformed fields with an actionable reason.
2. **Classify & enrich** — establish intent and fetch only declared contextual data required for the decision.
3. **Evaluate policy** — check ownership, data sensitivity, confidence, and action preconditions before an executable plan exists.
4. **Execute bounded command** — call approved PostgreSQL, FastAPI, Claude 3.5 Sonnet connectors with idempotency keys and a defined timeout.
5. **Verify & hand off** — reconcile the result against the contract, create a replayable receipt, and route exceptions to the named operator.

## Escalation rules
- Missing required evidence, a schema error, or an unsupported action stops the workflow before execution.
- Confidence below the approved threshold produces a review task; it does not silently choose a fallback.
- A policy denial or failed verification returns the work to a safe state and records the exact rule, version, and owner.

## Completion evidence
The workflow is complete only when the output schema is valid, policy receipts are present, the target system acknowledges the bounded command, and the audit artifact can reconstruct the decision.

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Agentic Automation

AI agents that handle triage, routing, and decision support with clear escalation paths.

Visual Workflow Design

Map complex business processes with intuitive drag-and-drop workflow builders.

Multi-Step Orchestration

Chain together APIs, databases, and AI models into coherent operational sequences.

Governance & Guardrails

Built-in policy enforcement, audit trails, and human-in-the-loop checkpoints.

Reliable Execution

Deterministic execution with retry logic, error handling, and operational visibility.

Quick Wins First

Identify and automate high-ROI workflows within days, not months.

Common workflow patterns

Proven automation patterns we have delivered across industries.

Customer Support Automation

Intelligent ticket routing, sentiment analysis, and automated response drafting.

Reduce response time by 60-80%

Document Processing

Extract, classify, and route documents with AI-powered OCR and NLP.

Process 10x more documents with same staff

Lead Qualification

Automated scoring, enrichment, and routing of inbound leads.

2x conversion rate improvement

Operations Monitoring

Real-time system health checks with predictive alerts.

Prevent issues before they impact customers

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# Controlled Workflow Specification ## Decision objective **Workflow domain:** Invoice Processing **Operating constraint:** Deterministic accuracy required, zero unauthorized PII leakage **Declared systems:** PostgreSQL, FastAPI, Claude 3.5 Sonnet ## Authority boundary The planner may prepare a typed action proposal. A deterministic control plane owns validation, policy evaluation, execution, and every write to an authoritative system. A human owner resolves ambiguity, low-confidence evidence, and policy conflicts. ## Execution path 1. **Capture & normalize** — accept only schema-valid source records; preserve source references and reject malformed fields with an actionable reason. 2. **Classify & enrich** — establish intent and fetch only declared contextual data required for the decision. 3. **Evaluate policy** — check ownership, data sensitivity, confidence, and action preconditions before an executable plan exists. 4. **Execute bounded command** — call approved PostgreSQL, FastAPI, Claude 3.5 Sonnet connectors with idempotency keys and a defined timeout. 5. **Verify & hand off** — reconcile the result against the contract, create a replayable receipt, and route exceptions to the named operator. ## Escalation rules - Missing required evidence, a schema error, or an unsupported action stops the workflow before execution. - Confidence below the approved threshold produces a review task; it does not silently choose a fallback. - A policy denial or failed verification returns the work to a safe state and records the exact rule, version, and owner. ## Completion evidence The workflow is complete only when the output schema is valid, policy receipts are present, the target system acknowledges the bounded command, and the audit artifact can reconstruct the decision.