Agentic AI Agents – Quick Guide
Agentic AI uses autonomous, goal-driven agents that plan, act through tools/APIs, observe results, and self-correct more resilient than RPA and prompt-only copilots. Maturity progresses from L0 scripted automation, to L1 advisory (read-only), L2 assisted action (low-risk execution with approvals), L3 autonomous execution within budgets/policies with escalation, and emerging L4 self-refining agents. It matters because agents manage change and unstructured data, deliver end-to-end outcomes with audit trails and retries, and reduce cycle times and rework. Common applications include invoice/PO matching, customer refunds/returns, outbound sequencing, DevOps rollbacks, contract intake/redlines, and employee onboarding/offboarding. To begin, pick one high-impact workflow, start at L1–L2 with clear guardrails and logging, measure throughput/MTTR/quality/cost, and scale patterns that meet your thresholds.
