Adoption Guide
From Demo to Production
A 3-phase deployment plan designed for a publicly traded company with SOX compliance requirements. Each phase builds trust and evidence before expanding AI autonomy.
Guiding Principles
Evidence before autonomy
Every expansion of AI authority requires documented evidence from the previous phase
Humans own outcomes
AI assists and drafts; the Controller and CFO sign off. Accountability stays with people.
Reversible at every stage
Any phase can be paused or rolled back in < 1 day by adjusting confidence thresholds
Deployment Phases
Weeks 1-4
Weeks 5-10
Month 3+
Phase 1
Shadow Mode
AI generates draft entries and suggestions. Humans review everything before anything is posted. No AI actions reach production systems.
Weeks 1-4
Activities
- Deploy agents in read-only mode alongside existing workflow
- AI classifies every transaction - human posts to GL
- Run reconciliation in parallel with manual process
- Daily accuracy report comparing AI vs human decisions
- Weekly calibration session to review disagreements
Success Metrics
- AI/human agreement rate >= 90%
- Zero AI-only GL postings
- Accountant comfort score >= 7/10
- Identify top 10 disagreement patterns
Phase 2
Draft & Approve
High-confidence AI decisions are drafted automatically. Humans approve with one click before posting. Low-confidence and high-value transactions still require full review.
Weeks 5-10
Activities
- Enable auto-draft for transactions where AI confidence >= 90% AND amount < $5,000
- Human approval required before any GL posting
- Policy chat enabled for internal use - all queries logged
- Email triage running - auto-drafted responses for all classified emails with >=50% confidence
- Weekly metrics review with finance leadership
Success Metrics
- Human approval rate for AI drafts >= 95%
- Manual review time reduced by 50%
- Zero posting errors attributed to AI
- Policy Q&A deflects 30+ emails/month
Phase 3
Autonomous Operation
High-confidence routine transactions post automatically. Humans monitor exceptions and handle escalations. AI handles the long tail; humans focus on judgment calls.
Month 3+
Activities
- Auto-post transactions: confidence >= 95% AND amount < $2,500 AND routine category
- Exception queue for: confidence < 85%, amount > $10K, new vendor, unusual category
- Automated month-end reconciliation with exception report delivered at WD+1
- Email triage: auto-send drafted responses for all classified emails with confidence >= 80%
- Quarterly review of thresholds with Controller and external auditors
Success Metrics
- >= 75% of transactions auto-posted without human touch
- Month-end close reduced from 5 days to 3 days
- Audit finding rate < 0.1% of AI-posted entries
- Finance team headcount stable while volume scales
Training Materials
Accounts Payable Team
- Understanding AI confidence scores and when to override
- How three-way match exceptions are generated
- Approving and rejecting AI invoice matches
- Escalation procedures for disputes
Senior Accountants
- Reviewing and approving AI journal entry classifications
- How the flux analysis thresholds are calibrated
- When to escalate AI narratives to the Controller
- SOX control documentation for AI-assisted close
Finance Operations
- Monitoring the audit log and exception queue
- Adjusting confidence thresholds in config
- Policy knowledge base maintenance (managed via CMS in production)
- Performance reporting and model version tracking
Internal Audit
- Reading the audit trail for AI-posted entries
- Sampling methodology for AI vs human accuracy testing
- SOX §404 documentation for automated controls
- Incident response if AI misclassification is found