AI agent onboarding is the structured process of activating an AI agent on a finance workflow,; from initial use case selection through production deployment with real data running through the agent. In Phacet's deployment model, it follows five clearly defined steps:
- Use case scoping: identify the most painful, measurable, recurring process (typically supplier price control, invoice inbox automation, or 3-way matching).
- System connection: connect the agent to data sources: ERP, accounting platform, email inbox, banking feed, SFTP. Native connectors handle Sage, Pennylane, Cegid, Gmail, Outlook.
- Rule configuration define business rules: tolerance thresholds, validation criteria, exception triggers. Phacet's Finance Experts handle this collaboratively with the team.
- Real-data validation run the agent on actual invoices or transactions for 1–2 weeks. Anomalies surface, rules are refined, edge cases are documented.
- Production handoff the agent runs autonomously with exception-based human review. The team monitors the dashboard; the agent handles 100% of volume.
Most Phacet clients complete all five steps in under two weeks. Some are operational on their first agent in 3 days. The acceleration factor is the Finance Experts service, hybrid finance and product profiles who configure agents end-to-end without requiring internal IT involvement.
This onboarding model is what separates specialist AI for finance from generalist AI tools. Generalist tools deliver in demo and fail in production. A structured onboarding produces an agent that holds, with full audit trail and continuous finance control on day one.
