The Buyer’s Guide to Agentic AI

Before you invest in agentic AI, identify the business process you want to improve and the results you need to achieve. Then evaluate what an AI orchestration platform must deliver: the right data for agents, coordination across people and systems, and controls that govern how the work gets done.

You also need to understand where agents add value, who will maintain them, and how costs will change as usage grows. These decisions shape your ability to accelerate work, reduce cost, and manage risk.

This guide provides practical evaluation criteria, questions to ask vendors, and warning signs to investigate. Learn how to compare platforms and test their capabilities against your own data and business processes.

It covers:

- How to define the process you want to improve, set measurable goals, and match each task with the right mix of automation, AI, and human review.

- What to look for in orchestration, data access, security, and controls that make agent actions visible and accountable.

- How to assess build and maintenance requirements, total cost of ownership, and flexibility to change models or vendors.

- How to structure an evaluation, from shortlisting vendors to running a proof of concept that tests the full process.