As a non-technical owner evaluating outside AI consultants and automation agencies, what questions should I ask to ensure they deliver practical operational results instead of unmaintainable junk?

Question

Tyler Smith · Accepted Answer

You do not need to understand Python, machine learning algorithms, or API endpoints to manage an outside technology consultant. You only need to hold them accountable to standard business operational principles.

Most AI agencies are run by developers who love novel technology but have never run a commercial payroll or managed a shop floor. If you let them build custom, esoteric architectures, you will end up with brittle systems that break the minute they stop billing you.

Screen any automation consultant by asking five direct operational questions:

- Which documented SOP does this project run? If the vendor cannot map their automation to an existing, working Core Process, they are trying to automate chaos. Make them read your written process first.
- What off-the-shelf software solves this without custom code? Demand that they justify why you cannot achieve the same operational leverage using existing software features or simple integration connectors.
- What happens when an edge case appears? Force them to show you the exact error-handling and human-in-the-loop workflow. If a system encounters messy data, how does a human coordinator get alerted before a customer is affected?
- Who owns the underlying workflows and intellectual property? Everything must live inside your corporate accounts, fully documented, without proprietary vendor locks.
- What is the ongoing maintenance burden for our internal team? Ask how many hours per week your existing staff will spend auditing, troubleshooting, and maintaining the system.

If a consultant answers your operational questions with heavy technical jargon, walk away. Practical automation makes operations simpler, not more fragile.