Prioritize production readiness: permissioned knowledge sync, governed workflows with human approval, audit trails you can export, integration with systems you already run, and evidence of ROI on one comparable workflow—not model benchmarks alone.

Chatbots and copilots mainly generate answers inside a conversation. An enterprise AI agent platform connects to business systems, runs multi-step workflows, enforces policies, and records evidence for each step—not only the final reply.

Yes. Scope one high-friction workflow, measure before and after on time and error rate, and require the vendor to show governance and audit behavior on that workflow—not a curated demo dataset.

Mid-market teams in India and APAC often have smaller IT and compliance benches but face the same audit expectations in BFSI, manufacturing, and distribution. They prioritize no-code governance, ERP and regional system connectors, and data residency options—without assuming a large automation center of excellence.

Ask about permission-aware retrieval, human approval on material actions, exportable audit trails for internal audit, and how policies are versioned when regulations change. Avoid vendors that only describe model safety without showing workflow-level evidence.

If answers must reflect live policies, contracts, and ERP data with role-based access, you need production RAG—continuous sync, deduplication, and monitoring—not a one-time document upload. Chatbots without governed retrieval often fail after the first quarter in regulated environments.