Common stalls include unclear ROI on one workflow, fear of audit exposure, underestimated integration work, and no named owner after the pilot—issues that platform choice and scoping can address early.

Integration with ERP and legacy systems, proving audit trails to conservative finance leadership, and fear of shadow AI from teams using consumer chat tools. Successful evaluations front-load connector demos and governance on real data—not generic capability decks.

A practical cycle is six to eight weeks: shortlist against a buyer's guide, parallel security review, a scoped proof sprint on one workflow, then contracting. Shorter cycles often skip governance review and stall after purchase.

Not necessarily. Many assign a business owner in finance or operations plus part-time IT support. Platforms with no-code agents and built-in governance reduce the need for a large in-house ML team compared with build-your-own approaches.

Hospitality and retail searches often focus on workflow automation across property and store systems; BFSI adds stricter audit and access control. The same platform may fit all three, but proof workflows and compliance questions should match the industry's actual process—not generic chatbot demos.