How do I evaluate AI tools before my team adopts them?
Use a structured risk evaluation framework covering vendor stability, data handling, integration risk, compliance, user access, and exit options. Score each dimension to get a composite risk rating.
Most project teams adopt AI tools the way they buy office supplies: someone tries it, likes it, and starts using it. Governance happens later -- or not at all. An AI governance checklist for project managers ensures governance happens before adoption, not after.
The problem is that AI tools carry risks that traditional SaaS tools do not. When a transcription tool trains on your meeting content, or a project management AI pulls schedule data into a third-party model, the team has already made a procurement decision that legal, IT, and compliance should have reviewed first.
Evaluation before adoption is not bureaucracy. It is risk management.
What You Are Actually Evaluating
A structured AI tool evaluation covers six risk dimensions:
Vendor stability. Is this company likely to exist in two years? Dozens of AI startups that launched in 2023 and 2024 have already shut down or been absorbed. What happens to your data if they do?
Data handling. What data does the tool collect? Where does it go? Is it used to train the vendor's models? Many teams do not realise their meeting transcripts or project documents become training data unless they explicitly opt out during sign-up.
Integration risk. What happens if you build your workflow around this tool and the API changes, the price doubles, or the feature you depend on disappears? AI products are evolving faster than traditional software -- what you adopt today may not exist in the same form in six months.
Regulatory compliance. If your project operates in healthcare, finance, government, or anywhere subject to the EU AI Act, does the tool meet applicable requirements? The EU AI Act creates documentation and oversight obligations for certain AI system categories that take effect in 2026.
User access and accountability. Who can access the tool? Who can see its outputs? If an AI summarises a sensitive stakeholder conversation, where does that summary go and who can retrieve it?
Exit and portability. If you stop using the tool, can you get your data out? In what format? Many AI tools make data import easy and export deliberately painful.
How to Run the Evaluation
A useful evaluation does not require a security team or a formal procurement process. It requires specific questions and someone willing to answer them before the tool enters production.
For each tool under consideration:
- Identify which of the six risk dimensions are most relevant to your project context
- Answer the specific evaluation questions for each relevant dimension -- using the vendor's documentation, their terms of service, or a direct question to their support team
- Score each dimension: low, medium, or high risk
- Identify the two or three highest-risk areas and determine whether mitigations exist (contractual data handling agreements, opt-out settings, security configurations)
- Document the decision: adopt with known risks and mitigations recorded, or hold
The output is not a block or a rubber stamp. It is a documented decision. Either outcome is a governance success.
What to Do with the Risk Profile
A completed evaluation gives you three practical outputs: For teams that need a reusable structure, the AI governance framework template for project teams provides a starting point that covers all six risk dimensions.
A risk register entry you can add to your project risk log. If something goes wrong -- a data breach, a service outage, a compliance issue -- you have documentation showing the team exercised due diligence before adoption.
A procurement record for IT, legal, or compliance review. Many organisations are formalising AI procurement policies right now. Getting ahead of this makes the conversation easier when it comes up.
A repeatable baseline for the next tool evaluation. Once you have run through the framework once, subsequent evaluations take fifteen minutes rather than several hours.
The goal is not to slow down AI adoption. It is to make adoption deliberate rather than accidental -- and to give your team, your stakeholders, and your organisation a record of having thought about it clearly.
Free tool: The AI Tool Risk Evaluator walks your team through a structured 5-minute risk evaluation before adopting any AI tool. Free, no login required.
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