The agentic AI market is loud, young and full of bold claims - which makes choosing a platform less about features and more about fit. The right question is not "which is best?" but "which is best for this task, in our business, with our constraints?" These questions get you there.
Start with the task, not the tool
Define the workflow you want to automate first. A platform that is perfect for customer support may be wrong for finance operations. Shopping before you have scoped the job is how businesses end up paying for capability they never use - a trap we describe in biggest AI mistakes businesses make.
The questions that actually matter
- Integration - does it connect to the systems you already use, or is that a project of its own?
- Control - can you set permissions, limits and approval gates easily?
- Transparency - can you see what the agent did and why? (No audit trail is a dealbreaker.)
- Data handling - where does your data go, and is that acceptable for your industry?
- Support and stability - is the vendor likely to be here, and responsive, in two years?
- Total cost - not just the licence, but setup, integration and ongoing oversight
Run a paid pilot before a long contract
A demo shows the platform at its best; a pilot on your workflow shows the truth. Insist on testing with your real (safely handled) data before committing, and beware anyone who resists. This is the buying discipline from questions to ask before buying AI tools, applied to agents.
Weigh build vs buy
For most businesses, buying a platform beats building one - but not always. Our guide to building your own AI agent or buying one covers when each makes sense.
The bottom line
The best agentic platform is the one that fits your task, your systems and your risk appetite - not the one with the flashiest demo. Learning to evaluate vendors on that basis is a core skill in the Strategic Application of AI in Business course at London School of Business UK. Enquire today.