How to Evaluate AI Agent Vendors: A 10-Question Checklist for COOs and CTOs
87% of AI projects never reach production. This checklist helps operators separate real agents from rebranded chatbots before budget season.
By AethelLayer Editorial · Executive Layer Insights
Your board approved an AI line item. Three vendors claim to be agents. One is a chatbot with a Zapier skin. One is RPA from 2019 with new branding. One might actually execute across your stack. This checklist helps you tell the difference in a single evaluation sprint.
Why this matters now
BCG reports CEOs are the primary AI decision makers at most companies in 2026, and nearly all expect measurable agent ROI this year. The cost of picking wrong is not the license fee. It is another quarter of manual ops while competitors compound.
The 10-question evaluation checklist
1. Does it connect via OAuth to our actual tools?
Pass: Greenhouse, Xero, Slack, Notion with scoped permissions. Fail: paste API keys into a chat box.
2. Can it write back to systems, not just read?
Pass: ATS stage updates, Slack approvals, finance tickets. Fail: read-only summaries only.
3. Is there an exportable audit log?
Pass: who approved what, when, with source citations. Fail: black box recommendations.
4. Are approval gates configurable per workflow?
Pass: tier spend, offers, vendor signings route to named roles in Slack. Fail: all or nothing autonomy.
5. Do board exports cite source systems?
Pass: runway figure links to Xero sync timestamp. Fail: hallucinated bullets.
6. Is tenant data isolated?
Pass: dedicated RAG, separate encryption boundaries. Fail: shared vector store across customers.
7. Is our data used to train models?
Pass: explicit no-training default with DPA language. Fail: vague "we may improve our models" clause.
8. Can we start with one agent and expand?
Pass: phased rollout (hiring + finance week 1, risk week 2). Fail: all-or-nothing enterprise SKU.
9. What is median time to production?
Pass: 14 to 28 days with named solutions engineer. Fail: six-month SI engagement before first value.
10. What happens when the agent is wrong?
Pass: suggest-only mode, rollback, human override documented. Fail: "the model improved."
How to score vendors quickly
Give each question a pass (1) or fail (0). Eight or more passes: worth a scoped pilot. Five to seven: negotiate hard on gaps or narrow scope. Below five: you are buying a copilot, not an agent. That may still be useful, but price and expect accordingly.
| Score | Verdict | Next step |
|---|---|---|
| 8 to 10 | Production-grade agent platform | Run 14-day pilot on one workflow |
| 5 to 7 | Partial agent / strong copilot | Pilot suggest-only on highest-pain workflow |
| 0 to 4 | Chatbot or agent washing | Do not pay agent pricing |
Scope the pilot so it proves ROI
- Pick one workflow with measurable hours saved (weekly brief, hiring-finance reconciliation, or board appendix).
- Define success metrics upfront: time saved, error rate, approval cycle time.
- Require live integrations, not demo data, by day 7.
- Include one executive sponsor for policy decisions (comp bands, spend caps).
- Document kill criteria if the pilot misses week-2 checkpoints.
Ask for this artifact
Request a redacted audit log from an existing customer showing an approval chain end to end. Vendors that cannot produce one are not running production agents.
AethelLayer publishes its security architecture for CTO and CISO review, offers tenant-isolated RAG per Private Pilot customer, and activates most teams in 14 days with human-in-the-loop gates in Slack. Use this checklist on us too. Serious vendors welcome scrutiny.
FAQ
- What should I ask an AI agent vendor in the first call?
- Ask for a live demo on your stack (OAuth to Greenhouse or Xero), an sample audit log export, how approval gates work, and median time to production for a company your size.
- How long should AI agent deployment take?
- For focused operational workflows at growth-stage companies, white-glove pilots should reach production in 2 to 4 weeks. If a vendor quotes six months for a single agent, scope is wrong or the product is not production-ready.
- What red flags indicate agent washing?
- No write access, no audit trail, paste-only integrations, no human approval workflow, and outputs that cannot cite source systems are the top five red flags.
Private Pilot
Deploy the executive layer in 14 days
Connect Greenhouse, Xero, Slack, and your stack. Operational agents with policy gates, cited briefings, and tenant-isolated RAG.