Structured template for evaluating and comparing AI vendors and platforms with requirements definition, scoring criteria, and decision framework.
Choosing the right AI vendor or platform is a critical decision that affects your project timeline, costs, and outcomes. This template provides a structured approach to defining requirements, evaluating vendors against consistent criteria, comparing platforms side by side, and documenting your decision rationale. Includes comparison matrices, fill-in fields, and scoring tables.
IT procurement teams, CTOs, and project managers evaluating AI platforms, vendors, and solutions for their organisation.
Ask where your data is processed and stored, whether it is used to train the vendor's underlying models, what happens to your data if you cancel, and what support and SLA commitments are included. UK businesses handling personal data should also confirm the vendor's UK GDPR compliance position in writing.
Pricing varies enormously by use case, but many UK SMEs budget somewhere between £50 and £500 per month for off-the-shelf AI tools, while custom implementation projects involving data integration and model tuning can run into the low tens of thousands depending on scope and complexity.
Most UK SMEs are better served by off-the-shelf platforms for common use cases like customer service or document processing, since custom development requires ongoing maintenance and specialist skills that are expensive to retain. Custom builds tend to make sense only for genuinely differentiated, business-critical use cases.
Yes, this template provides requirements definition worksheets and a weighted platform comparison matrix so you can evaluate AI vendors consistently and document the rationale behind your final decision.
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