White Paper

The AI Support Buyer's Guide: What to Ask Before You Sign

Published September 10, 2026 · Reviewed by the Fidiora team

Short answer

Buying AI support in 2026 means evaluating a billing definition, a data policy, and an escalation design, not just a resolution rate. This guide compiles the questions that separate a defensible vendor from a risky one, organised by category, so an evaluation team can work through them in one sitting.

Key takeaways

  • Resolution rate alone is not comparable across vendors, because each defines the unit differently.
  • Data handling questions belong in writing before a sales process ends, not after.
  • Escalation design is what customers actually judge the deployment on.
  • Auditability is becoming a standard procurement question as agents start taking actions.

Billing and pricing questions

Ask whether the rate is published or requires a sales call, whether abandonment counts as billable, whether handoffs are billed, whether a reopen retracts the charge, and whether there is a hard spend cap you control.

A vendor unwilling to answer all five in writing has told you something useful about how the number is calculated.

Quality and escalation questions

Ask what happens with a phrasing nobody anticipated, what happens when the system does not know an answer, and how the handoff to a human actually works: does it carry the full transcript, or a lossy summary.

Customers judge AI support almost entirely on what happens when it cannot help. This section of an evaluation matters more than the demo.

Data handling and security questions

Ask whether your conversations train third-party models, where data is stored, what the retention and deletion terms are, and who the sub-processors are. Get all four in writing.

These are also the questions a security reviewer will ask later, so obtaining them during evaluation saves a round trip.

Auditability questions

As agents move from answering to acting, ask what is logged for each interaction and each action, how long it is retained, whether you can export it, and whether you can audit a sample of billed resolutions against the contractual definition.

This is a newer category of question and it is becoming standard as outcome-based billing spreads across the market.

Running the actual evaluation

Take fifty of your own real questions, write your resolution definition before any vendor sees it, run each candidate against the same set, and track repeat contacts for two weeks after any live pilot.

Aggregate scores hide the failure modes that matter. Read transcripts yourself.

See it in practice

Fidiora prices per genuine resolution, publishes the rate and the definition, and connects to your existing content in under an hour.

See Pricing
FAQ

Questions

What is the most important question to ask an AI support vendor?
How a resolution is defined and whether abandonment and handoffs are billed. That answer determines both what you pay and whether the vendor's incentives are aligned with customers actually being helped.
How do I test AI support quality before buying?
Run each candidate on fifty of your own real questions, score against a resolution definition you wrote first, and track repeat contacts for two weeks after any live pilot rather than relying on a vendor-reported number.
What data questions should be answered before signing?
Whether your conversations train third-party models, where data is stored, retention and deletion terms, and who the sub-processors are. Get all four in writing before the contract is signed.
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