# How to Choose an AI Agent Platform: 2026 Checklist > A strong AI agent platform combines specialized agents, secure integrations, governance, multi-model capability and measurable workflows. Source: https://maitflow.com/en/academy/ai-agent-platform-checklist Section: Academy · Language: en · Updated: 2026-08-26 Publisher: Masterplan Tech Solutions GmbH **In short:** The best platform is not the one with the loudest model, but the one with secure orchestration. ## The questions a vendor can only answer yes or no to Most selection criteria published by vendors are unfalsifiable — "powerful models", "enterprise-grade", "seamless integration". A useful checklist contains only questions with a checkable answer. - **Where is inference executed, and who are the named sub-processors?** Where a vendor is headquartered tells you nothing about where your data is processed. - **Do customer inputs train models?** Ask for the clause, not the reassurance. - **Can one agent be restricted to a subset of data?** If not, every workflow inherits the blast radius of the largest one. - **Is there a per-action audit log?** Which agent, on whose behalf, what it read, what it changed, who approved it. - **Which actions require approval by default?** The default is the control. A gate that must be switched on will not be. - **What happens at contract end?** Export format, retention period, deletion guarantee. - **Can a single workflow use more than one model?** This decides whether switching models later is configuration or migration. ## What it costs, and what the sticker leaves out List prices as of August 2026: ChatGPT Business is $20 per user per month billed annually, Claude Team $20 per seat per month billed annually, and Microsoft 365 Copilot $30 per user per month on an annual commitment. The Copilot figure is an add-on — it requires a qualifying paid Microsoft 365 plan underneath it, so the all-in figure per user is materially higher. ChatGPT Enterprise has no published price and is quoted per deal. Three costs never appear on a pricing page and routinely exceed the licence: connector and integration work to reach the systems the agent must read; the review time that approval steps consume, which is real salaried time; and the internal change effort of moving a process from how people do it now to how it will be done. A per-seat comparison between categories is misleading for the same reason — an assistant subscription and an agentic workspace are not priced for the same job. ## Red flags Patterns that reliably indicate a platform is not ready for production use: - **No audit trail of agent actions.** Without it you cannot answer, months later, what the agent did and on whose authority — which is the first question any auditor or incident review asks. - **No named sub-processor list.** "We use industry-leading providers" is not a list. - **Agents that cannot be scoped.** All-or-nothing data access means the permission model does no work. - **"Unlimited" with undocumented limits.** There is always a limit; an undisclosed one surfaces at the worst moment. - **Demos that only ever show the happy path.** Ask to see a failed run, a rejected approval, and a permission denial. ## Running the evaluation itself Evaluate on your own material. Vendor demo data is chosen to work; the question that matters is how the platform behaves on your least tidy documents, your inconsistent CRM records and your worst-audio meeting. Give each shortlisted platform the same process and the same success measures — cycle time, share of runs needing correction, share reusable without edit. Comparing different processes across vendors produces a conclusion about the processes, not the vendors. Include the people who will actually operate it in the trial. Adoption failure, not capability failure, is the usual cause of a shelved platform, and it is visible in a pilot if the pilot includes real users rather than the project team. ## Sources - [OpenAI — ChatGPT pricing](https://openai.com/chatgpt/pricing/) - [Anthropic — Claude pricing](https://claude.com/pricing) - [Microsoft — Microsoft 365 Copilot pricing](https://www.microsoft.com/en-us/microsoft-365/copilot/) - [GDPR, consolidated text (EUR-Lex)](https://eur-lex.europa.eu/eli/reg/2016/679/oj) All links verified on 26 August 2026. Prices are vendor list prices as of that date and do change; the vendor's own page is authoritative. ## Frequently asked questions ### What should you ask an AI agent vendor before buying? Where data is processed and stored, who the sub-processors are, whether customer data trains models, how agent actions are logged, what happens at contract end, and which actions require human approval by default. ### What does an AI assistant or agent platform cost per user? Published list prices as of August 2026: ChatGPT Business $20 per user per month billed annually, Claude Team $20 per seat per month billed annually, Microsoft 365 Copilot $30 per user per month on an annual commitment and only as an add-on to a paid Microsoft 365 plan. ChatGPT Enterprise is quote-only. ### What are the warning signs of an immature AI agent platform? No audit trail of agent actions, no named sub-processor list, no way to scope an agent to a subset of data, "unlimited" usage with no documented limits, and demos that only ever show a single happy path. ### Does an AI platform have to be EU-hosted to be GDPR-compliant? No. GDPR permits transfers outside the EU under Chapter V safeguards. EU hosting removes a class of transfer questions rather than being legally mandatory, which is why it is a procurement preference more often than a legal requirement. ### How long should an AI agent pilot run before you decide? Long enough to cover a full business cycle of the chosen process — typically one to three months. Shorter pilots measure novelty; they miss the edge cases and the drop in usage after the first weeks. ## Related - [What is Agentic AI?](https://maitflow.com/en/academy/agentic-ai) - [Best Agentic AI Platform 2026](https://maitflow.com/en/academy/beste-agentic-ai-plattform) - [Multi-Agent Systems Explained](https://maitflow.com/en/academy/multi-agent-systems)