Agentic AI workflow services: what's in scope, what's not

Agentic AI workflow services are the engineering capabilities that take agentic AI from pilot to production. Here's what's in scope, what's not, and how delivery actually runs.

What's in scope: agent architecture design, multiagent orchestration, guardrails and governance, evaluation pipelines, observability, human-in-the-loop surfaces, integration with existing systems, and production deployment.

What's not: model training from scratch (use foundation models), data labeling at scale (use specialized services), and ongoing model maintenance (transfer to your team).

Delivery runs in three phases. Audit: map your stack, identify AI opportunities, and define the agent architecture. Build: develop the agent, integrate it with your systems, and deploy to production. Transfer: train your team to operate and maintain the agent, then step back.