Key points
- You run a startup. How do you choose an AI consultant? Code and data may be your core asset, cash is short, and investors will look closely later.
- If the AI is part of what you sell, it affects your company's worth, so ownership, documentation and security outweigh speed. If it just helps run things, a brief fixed-price job will often do.
- A quick demo is often worth it, but rushed builds tend to skip testing and documentation. Agree in writing if you're buying a throwaway prototype, a first version to keep, or a live system for customers. AI Consultancy Finder says most trouble comes from buying the first and ending up with the last.
- A fractional leader, a senior part-timer, sets direction and answers investors' technical questions. An agency suits building work you can spell out, if someone on your side can check it. If you use both, check the leader has no hidden financial link to the agency.
- Settle who will own the code, prompts and models, and write that into the contract after a qualified solicitor's advice. Register accounts and keys to your company.
- AI models keep changing, so send all model requests through one spot in the code, with prompts and test examples kept alongside. Then swapping models is a planned job, not a rebuild.
- Investors' checks vary, but AI Consultancy Finder finds they tend to cover code ownership, documentation, security basics, reliance on one supplier or model, and data rights. A few months before raising money, have an independent expert review your code as an investor would.
- Grants are hard to win and change often, so check the official source first. For more, see the full guidebook from AI Consultancy Finder.
Transcript
You run a startup. How do you choose an AI consultant? Code and data may be your core asset, cash is short, and investors will look closely later. If the AI is part of what you sell, it affects your company's worth, so ownership, documentation and security outweigh speed.
If it just helps run things, a brief fixed-price job will often do. A quick demo is often worth it, but rushed builds tend to skip testing and documentation. Agree in writing if you're buying a throwaway prototype, a first version to keep, or a live system for customers.
AI Consultancy Finder says most trouble comes from buying the first and ending up with the last. A fractional leader, a senior part-timer, sets direction and answers investors' technical questions. An agency suits building work you can spell out, if someone on your side can check it.
If you use both, check the leader has no hidden financial link to the agency. Settle who will own the code, prompts and models, and write that into the contract after a qualified solicitor's advice. Register accounts and keys to your company.
AI models keep changing, so send all model requests through one spot in the code, with prompts and test examples kept alongside. Then swapping models is a planned job, not a rebuild. Investors' checks vary, but AI Consultancy Finder finds they tend to cover code ownership, documentation, security basics, reliance on one supplier or model, and data rights.
A few months before raising money, have an independent expert review your code as an investor would. Grants are hard to win and change often, so check the official source first. For more, see the full guidebook from AI Consultancy Finder.