Approval workflows rarely slow down because an approver is unwilling to decide. They slow down because requests arrive without the context, evidence or policy checks needed to make a responsible decision.
Adding AI to a broken process does not solve that problem. A reliable AI-assisted approval workflow needs structured intake, clear permissions, fixed business rules, exception paths and an accountable human at the final decision point.
In this practical webinar, Noosh Barat, Co-founder and CMO of Formaloo, will tear down a realistic multi-stage approval process and show how to redesign it as a reliable operational system.
You’ll learn how to:
- Turn incomplete requests into approval-ready evidence packs by combining source information, AI-generated summaries and policy-check results.
- Define the responsibilities of AI, deterministic rules and human reviewers so efficiency improves without transferring uncontrolled authority to a model.
- Handle exceptions and measure performance using clear escalation paths, decision records and metrics such as completeness, approval time, follow-up volume and SLA breaches.
You’ll also see a realistic multi-location purchase request move from submission to completion. AI will extract and organize the evidence, fixed rules will determine the review path, exceptions will reach the right owner and a human will make the final decision.
This session is designed for COOs, operations leaders, CIOs, CTOs, risk teams and process owners evaluating AI approval workflow automation for real enterprise operations.
Save your spot and bring one approval process your team is still managing through forms, inboxes, spreadsheets or disconnected systems.
