AI agents that do real work, not demos
Every operations leader has seen the demo: an AI agent answers tickets, routes requests, and triages workflows. Then the pilot starts, and six weeks later it is still stuck in proof-of-concept purgatory.
Meanwhile the category has moved on without you. Madrona's 2026 Intelligent Applications 40 found an agent owning a specific job in nearly every category it tracks, from IT service management to customer service to marketing operations, and reports that 77 percent of enterprises now re-evaluate their AI vendors at least every six months. Your pilot is on a clock, and what it gets graded on is finished work.
The bottleneck is not model intelligence; it is workflow architecture. Moving from a fragile demo to a dependable business system requires clear delegation: knowing exactly what agents handle autonomously, when human-in-the-loop escalation triggers, and how strict compliance guardrails protect customer data.
Built for customer service, support, finance, HR, and operations leaders, this intensive workshop turns stalled AI experiments into production-grade systems. We map your actual business processes, implement audit trails, and calculate hard payback metrics so your executive team sees clear financial returns rather than vendor hype.
Drawing from 31 patents and real-world enterprise deployments, I give your team the frameworks, vendor scorecards, and a 90-day rollout roadmap to deploy autonomous agents with confidence.
Your team leaves with an execution blueprint they put into production the following Monday.
