Enterprises face a classic decision: develop AI agents in-house or adopt managed platforms.
Building promises control over data, custom workflows, and potential cost advantages at scale. Buying accelerates time-to-value and reduces operational burden.
A hybrid path is emerging: core capabilities sourced from platforms, with domain-specific layers built internally. Success hinges on governance—role-based access, human-in-the-loop review, and robust audit trails.
Procurement should evaluate total cost of ownership beyond inference fees: integration, monitoring, red-teaming, and retraining. The winning strategy matches ambition to readiness: start narrow, prove ROI, then scale.