Work Order QMS Module — Product Roadmap
Classification: Internal — Product Strategy Date: 2026-02-13 Owner: AZ1.AI Inc.
Roadmap Philosophy
Every feature ships with three properties: compliance evidence (audit trail + e-signature hooks), agent capability (can be executed autonomously), and observability (metrics + traces). Features without all three are incomplete.
Phase 1: Foundation (Q1 2026 — Weeks 1–12)
Milestone: "First Compliant WO"
Ship the minimum system where a customer can create, execute, approve, and close a regulatory Work Order with a complete 21 CFR Part 11-compliant audit trail.
| Feature | Priority | Complexity | Agent-Ready |
|---|---|---|---|
| WO lifecycle engine (9-state machine) | P0 | High | ✅ |
| Master/Linked WO hierarchy | P0 | High | ✅ |
| DAG dependency validation | P0 | Medium | ✅ |
| Append-only audit trail (DB-enforced) | P0 | Medium | N/A |
| E-signature capture + verification | P0 | High | ⚠️ Human-only |
| System Owner + QA approval workflow | P0 | Medium | ⚠️ Human-only |
| Basic RBAC (6 roles) | P0 | Medium | ✅ |
| PostgreSQL RLS multi-tenancy | P0 | Medium | N/A |
| REST API (CRUD + transitions) | P0 | Medium | ✅ |
| Event emission (NATS) | P1 | Medium | ✅ |
| Basic resource graph (assets, tools, persons) | P1 | Medium | ✅ |
| Job plan creation + linking | P1 | Medium | ✅ |
| Experience rating registry | P2 | Low | ✅ |
Exit criteria: One customer completes Win10→Win11 upgrade scenario (6 linked WOs) with full audit trail. External auditor confirms Part 11 compliance of generated records.
Phase 2: Intelligence (Q2 2026 — Weeks 13–24)
Milestone: "Agent-Driven WO"
AI agents can autonomously create linked WOs, match resources, resolve dependencies, and coordinate execution — with human checkpoints only at approval gates.
| Feature | Priority | Complexity | Agent-Ready |
|---|---|---|---|
| Agent ↔ WO Orchestrator adapter | P0 | High | ✅ Core |
| CODITECT model routing for WO tasks | P0 | Medium | ✅ Core |
| Automated resource matching (deterministic) | P0 | High | ✅ |
| Dependency graph resolution + critical path | P0 | High | ✅ |
| Vault integration (credential management) | P0 | High | ✅ |
| Agent checkpoint framework (WO gates) | P0 | High | ✅ Core |
| Compliance Engine adapter | P1 | Medium | ✅ |
| Schedule tracking (estimated vs. actual) | P1 | Medium | ✅ |
| TimeEntry capture + cost allocation | P1 | Medium | ✅ |
| WO template library (common scenarios) | P1 | Low | ✅ |
| Notification engine (Slack, email, webhook) | P2 | Medium | ✅ |
| Vendor coordination portal (basic) | P2 | High | ⚠️ Partial |
Exit criteria: CODITECT agent orchestrates a 6-WO dependency chain with <30% human intervention (measured by transitions requiring human action vs. total transitions).
Phase 3: Scale (Q3 2026 — Weeks 25–36)
Milestone: "Enterprise-Ready"
Production hardening, PM automation, vendor ecosystem, and compliance dashboard for audit readiness.
| Feature | Priority | Complexity | Agent-Ready |
|---|---|---|---|
| PM automation engine (calendar + usage triggers) | P0 | High | ✅ |
| Batch WO generation (1000+ per run) | P0 | Medium | ✅ |
| Vendor portal with IQ/OQ upload | P0 | High | ⚠️ Partial |
| Compliance monitoring dashboard | P0 | High | N/A |
| Approval delegation + escalation chains | P1 | Medium | ✅ |
| WO analytics (cycle time, bottleneck, cost) | P1 | Medium | N/A |
| Custom approval chains (per tenant config) | P1 | Medium | ✅ |
| JSONB custom fields with schema validation | P1 | Low | ✅ |
| Audit trail archival (cold storage) | P2 | Medium | N/A |
| Resource utilization heatmap | P2 | Medium | N/A |
| SLA monitoring + alerting | P2 | Medium | ✅ |
| SOC 2 evidence collection automation | P2 | High | ✅ |
Exit criteria: 3+ customers running production workloads. >100 WOs/day aggregate throughput. Zero compliance findings in simulated audit.
Phase 4: Differentiation (Q4 2026 — Weeks 37–48)
Milestone: "Category Leader"
Features that create defensible moat — ML-enhanced operations, predictive compliance, and cross-tenant intelligence.
| Feature | Priority | Complexity | Agent-Ready |
|---|---|---|---|
| ML resource matching (learning from history) | P1 | High | ✅ |
| Predictive compliance risk scoring | P1 | High | ✅ |
| Duration estimation (historical regression) | P1 | Medium | ✅ |
| Cross-WO pattern detection (anomaly finding) | P2 | High | ✅ |
| Compliance framework configurator (EMA, MHRA, TGA) | P1 | High | ✅ |
| Multi-site WO coordination | P1 | High | ✅ |
| Advanced vendor scoring + SLA tracking | P2 | Medium | ✅ |
| WO impact analysis (downstream effect prediction) | P2 | High | ✅ |
| Validation documentation generator (IQ/OQ/PQ) | P1 | High | ✅ |
| GxP training record integration | P2 | Medium | ✅ |
Exit criteria: Demonstrable ML-driven improvement (>15% cycle time reduction vs. Phase 3 baseline). International compliance framework deployed for 1+ non-US customer.
Phase 5: Platform (2027+)
Milestone: "WO as Platform"
Enable customers and partners to build on the WO foundation.
| Feature | Priority |
|---|---|
| WO SDK (TypeScript + Python) for custom extensions | P1 |
| Marketplace for WO templates + compliance packages | P1 |
| Webhook-based integration framework | P1 |
| Custom agent training for domain-specific WO types | P2 |
| White-label WO module for system integrator partners | P2 |
| Offline-capable mobile WO execution (field technicians) | P2 |
| Digital twin integration (asset simulation before WO execution) | P3 |
Feature Dependency Map
Phase 1 (Foundation)
├── WO Lifecycle Engine ←── Phase 2: Agent Adapter (depends on stable state machine)
├── Audit Trail ←── Phase 3: Archival, Phase 4: Pattern Detection
├── E-Signature ←── Phase 2: Agent Checkpoints (gates require signatures)
├── RBAC ←── Phase 3: Custom Approval Chains
├── Multi-tenancy ←── Phase 3: PM Automation (tenant-scoped schedules)
└── Resource Graph ←── Phase 2: Resource Matching, Phase 4: ML Matching
Phase 2 (Intelligence)
├── Agent Adapter ←── Phase 3: PM Automation (agents generate PM WOs)
├── Vault Integration ←── Phase 3: Vendor Portal (vendor credentials)
├── Checkpoint Framework ←── Phase 4: Predictive Compliance
└── Schedule Tracking ←── Phase 4: Duration Estimation (needs historical data)
Phase 3 (Scale)
├── PM Automation ←── Phase 4: Cross-WO Pattern Detection
├── Vendor Portal ←── Phase 4: Vendor Scoring
├── Compliance Dashboard ←── Phase 4: Predictive Risk Scoring
└── Analytics ←── Phase 4: ML Matching (training data source)
Technical Debt Budget
Each phase allocates 20% of engineering capacity to technical debt:
| Phase | Debt Focus |
|---|---|
| 1 | Schema migrations framework, test coverage >80%, CI/CD pipeline |
| 2 | Performance benchmarking, load testing infrastructure, API versioning |
| 3 | Database partitioning, connection pool tuning, event bus reliability |
| 4 | ML pipeline infrastructure, model versioning, A/B testing framework |
Team Scaling
| Phase | Engineers | QA/Compliance | Product |
|---|---|---|---|
| 1 | 2 backend + 1 platform | 0.5 QA | 1 PM |
| 2 | 3 backend + 1 AI/ML + 1 platform | 1 QA + 0.5 compliance | 1 PM |
| 3 | 4 backend + 1 AI/ML + 1 frontend + 1 platform | 1 QA + 1 compliance | 1 PM + 1 PMM |
| 4 | 5 backend + 2 AI/ML + 2 frontend + 1 platform | 2 QA + 1 compliance | 1 PM + 1 PMM |
Copyright 2026 AZ1.AI Inc. All rights reserved. Developer: Hal Casteel, CEO/CTO Product: CODITECT-BIO-QMS | Part of the CODITECT Product Suite Classification: Internal - Confidential