What is an example of agentic AI?

Real agentic AI examples focus on multi-step workflows that previously required human coordination across systems. Each example shares the same pattern: perceive state, reason about it, take action via tools, observe outcome, adjust.

Customer support triage: an agent reads an incoming ticket, retrieves the customer's account history from Salesforce, checks policy in the knowledge base, drafts a response, routes to human review if the stakes are high, and logs the outcome. What was three system switches and fifteen minutes becomes thirty seconds.

Contract review: an agent extracts key terms from a new contract, compares against the company's standard playbook, flags material deviations, drafts negotiation notes for legal review, and updates the CRM. What was four hours of counsel time becomes thirty minutes of review.

Supply-chain: an agent monitors shipping disruptions (weather, strikes, port closures), identifies affected in-transit orders, proposes reroutes with cost and ETA comparisons, executes the approved reroute via carrier APIs, and notifies customers. What was a frantic email chain becomes a coordinated response.

All three are real SynthesisArc engagements. All three run on PRISM with deterministic guardrails at every decision point and Claude Guard governance throughout.