How to Choose the Right AI Agent for Your Business
Not a ranked list of products — those go stale the week they're published, and we're not positioned to review competitors impartially anyway. This is the set of questions, tests and red flags worth taking into any evaluation, whoever you end up talking to.
Build vs. Buy, Before Vendor vs. Vendor
Before comparing options, it's worth settling one thing: does your task need a custom-built agent at all, or would an off-the-shelf tool already configured for a common use case do the job? A generic customer-support product can be genuinely enough if your process matches its defaults closely. A custom build earns its cost when your rules, systems or exceptions don't fit a template — that's usually the deciding factor, more than any feature list.
What to Ask Any Vendor You're Evaluating
What exactly can it access, and how?
Ask which systems it reads from and writes to, and whether access is scoped narrowly to the task or granted broadly by default. A vague answer here is itself an answer.
What happens when it's not sure?
Every credible option should have a concrete escalation path, not a claim that the agent is confident in every case. Ask to see an example of an actual escalation.
How is it tested before going live?
Ask what edge cases were tested against, and whether testing used your real data or a generic demo scenario. The two produce very different confidence levels.
Who owns what happens after launch?
Ask what's covered once it's live — monitoring, fixes when a connected system changes, adjustments as your process evolves — and what that costs, separate from the build itself.
Can you turn it off instantly?
A straightforward kill switch, and access you control directly rather than only through the vendor, should be table stakes — not a custom request.
What would make this the wrong fit?
A vendor willing to name honest limits, or tell you a simpler fix would do, is more trustworthy than one whose answer is yes to everything.
Red Flags in a Vendor Pitch
A specific accuracy or resolution-rate number, unverifiable
A precise-sounding statistic with no way to check it against your own data is a marketing number, not an engineering one.
No real answer on escalation
If a demo only ever shows the agent succeeding, ask to see what happens on a case it should hand off — and watch how confidently that question gets answered.
A firm price before any discovery
A confident number before anyone has looked at your systems or rules is either padded heavily or a bait for a much larger bill later.
Pressure to buy broad before proving narrow
A vendor pushing a large, multi-workflow platform before your first task has even been validated is optimising for their contract size, not your outcome.
What to Actually Test For
Reading a pitch deck and running a real test are very different exercises. Where possible, push for the second.
Real Data, Not a Demo Script
Ask to test against an actual, anonymised example from your own queue, not a curated scenario built to look good.
An Edge Case, Deliberately
Feed it something ambiguous on purpose. What it does next tells you more than ten clean successes would.
The Escalation Path, End to End
Confirm what a person actually receives when it hands off — enough context to act, or a blank notification.
A Written Scope, Not a Verbal Promise
Before committing, get the systems, boundaries and exclusions in writing. If a vendor resists this, treat it as an answer.
Choosing an Agent: Questions
Why isn't there a top-10 list on this page?
Because a named ranking of vendors would be stale within a quarter, and reviewing competitors honestly isn't a job we're positioned to do impartially — we're one of the options being evaluated. What stays useful over time is knowing what to ask and test for, whoever you're talking to.
How many vendors should we actually talk to?
Enough to compare answers on the questions above, not so many that the comparison itself becomes the project. Two or three focused conversations, each scoped around one real task, usually surface the differences that matter.
Is the cheapest quote usually the best value?
Not reliably. A cheap quote that skips discovery, testing or a clear escalation design often costs more later in rework, or in damage from a wrong action nobody caught early. Compare what's actually included, not just the headline number.
Should we get a proof of concept before committing to a full build?
Often worth it for anything beyond a small, well-understood task — a narrow proof of concept against one real case, using your actual data, tells you more than any demo or reference call. Ask what a vendor's version of that looks like before signing a larger scope.
Can you help us run this evaluation, even if we end up choosing someone else?
Yes. A discovery call with us will surface the same questions and scoping detail regardless of who ends up building it, and we'd rather you make a well-informed choice than a fast one.
Use This Checklist on Us, Too
Ask us every question above on a discovery call. If the honest answer is that you don't need a custom build, we'll say so.