AI & Prompt Tools · Free tool
AI Tool Evaluation Scorecard
Score any AI vendor across 7 weighted criteria — privacy, integration cost, recurring cost, output quality, vendor stability, compliance fit, switching cost. Get a 0–100 score and a verdict before you buy.
Privacy + data handling
Does it train on your data? Where's data stored? Who else can access it?
Integration cost
Estimated engineering hours to wire into your existing stack
12-month TCO
License + per-seat + per-call + ops fees over a full year
Output quality (in your tests)
Run on your real data — not vendor demos
Vendor stability
Funding stage, runway, customer count, recent layoffs (Crunchbase + LinkedIn)
Compliance fit
SOC 2, HIPAA, GDPR, sector-specific certs you actually need
Switching cost
Data export format, contract lock-in, prompt portability if vendor disappears
Score
60 / 100 (45 / 75 weighted points)
Pilot before committing
Weights reflect how often each factor surfaces in post-purchase regret on AI-buyer surveys. Adjust mentally for your context — heavily regulated industries weight compliance + privacy higher; engineering-light teams weight integration cost higher.
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What it does
Score any AI vendor across seven weighted criteria — the same factors that show up in post-purchase regret on AI-buyer surveys. The output is a 0–100 score plus a verdict band (proceed / pilot / investigate / walk away).
The weights default to a generic profile. Heavily regulated industries should mentally re-weight privacy + compliance higher; engineering-light teams should re-weight integration cost + switching cost higher. Export the scorecard to attach to a procurement memo.
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<iframe src="https://freetoolarena.com/embed/ai-tool-evaluation-scorecard" width="100%" height="720" frameborder="0" loading="lazy" title="AI Tool Evaluation Scorecard" style="border:1px solid #e2e8f0;border-radius:12px;max-width:720px;"></iframe>How to use it
- Enter the tool / vendor name.
- Score each of the 7 criteria 1-5 based on real evidence (not vendor claims).
- Add notes per criterion — sources, gotchas, follow-up questions.
- Read the weighted total + verdict.
- Export to attach to your procurement decision doc.
Frequently asked questions
- Where do the weights come from?
- Generic SaaS post-purchase regret studies (Gartner, G2 buyer reports) consistently surface privacy + output quality as the top two regret drivers. Integration cost, recurring cost, and vendor stability cluster next. Switching cost is rated lowest in regret terms but only because most buyers don't realize it matters until they try to leave.
- Should I score against vendor demos or my own data?
- Always your own data. Vendor demos are curated for the things the model does best. The single most consistent finding across AI procurement post-mortems is that 'output quality' assessed from demos overstates real-world quality by 30-50%.
- How do I evaluate vendor stability for a private company?
- Crunchbase for funding rounds + Trove for headcount changes + LinkedIn for layoff signal. Recent down-round, sudden senior departures, or 'restructuring' announcements are red flags. Public revenue is unavailable, but customer count growth (or lack of it) shows up in case-study cadence.
- What's a 'walk away' score?
- Below 45/100. At that level the tool has multiple structural problems and no single fix changes the math. Reconsider whether you need an AI tool at all for this use case, or shop alternatives.
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Formula
What this assumes
Sources
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Guides about this topic
- Money & Business · GuideHow to Evaluate an AI Tool7-criteria framework for evaluating any AI vendor. Questions to ask before buying, how to compare fintech / vertical AI tools, the legal risks (data privacy, copyright, liability), and ethical issues to clear before deploying.
- Money & Business · GuideCommon AI Strategy Questions AnsweredQuick answers to recurring AI-strategy questions — consulting vs strategy, fintech AI patterns, multi-currency platforms, team training budgets, AI on a small budget, ethics + legal quick refs. Each links to deeper guides.
- AI & LLMs · GuideHow to Set Up an AI AgentA plain-English decision tree for picking an agent stack in 2026 — hosted modes, no-code, SDKs, and frameworks — with the 7 steps that actually matter.
- AI & LLMs · GuideHow to Use ChatGPT Agent ModeHow the /agent command works in ChatGPT Plus, Pro, and Team — the tasks it's good at, the tasks it isn't, and how to brief it.
- AI & LLMs · GuideHow to Build an Agent with the OpenAI Agents SDKBuild a working agent in Python using OpenAI's Agents SDK — tools, handoffs, guardrails, and the model-native sandbox harness.
- AI & LLMs · GuideHow to Build an Agent with the Claude Agent SDKInstall the Claude Agent SDK, write custom tools, add hooks, and compose sub-agents — the same harness that powers Claude Code.
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