An AI consultant helps you decide whether AI can address a business problem and what a responsible next step would be. The work may involve process research, technical trials, risk assessment or support during introduction. Agree which decision the advice should support. A useful outcome can also be a decision not to build. Our guide to AI automation provides the wider context.
What does an AI consultant actually do?
An AI consultant investigates a task, compares possible solutions and makes assumptions testable. Does finding information really take that much time? Are the sources usable, and can a member of staff check the answer? Only then does choosing a model or product become meaningful.
Ask about specific work. Who will talk to users? Who will investigate access to information? Who can assess a technical result, and when will a privacy or legal specialist be needed? One adviser needn’t do everything personally, but the division of work should be clear.
The first question isn’t always which AI to buy. Search, a fixed business rule or a change to data entry might address the same problem. A comparison that excludes those alternatives unnecessarily narrows the decision.
When do you need advice?
Advice helps when an uncertainty could change your investment decision. Perhaps several departments want conflicting things. Perhaps you know which task needs improving but don’t know whether the information may be used for it. Even a small application can require specialist input.
If the task and conditions are already clear, investigation can form part of the development assignment. You don’t necessarily need a separate strategy project. Still, agree what needs proving before releasing the next budget.
| Question | Suitable assignment | Verifiable output |
|---|---|---|
| Which process deserves attention? | Process research and comparison | A supported selection, including rejected options |
| Can the technology handle the task? | A defined technical trial | Results on agreed examples and known failure cases |
| May we use it, and can we operate it? | Assessment with appropriate specialists | Conditions, unanswered questions and responsibilities |
| How do we introduce it? | Implementation and operational planning | Tasks, acceptance criteria, support and handover |
An organisation-wide strategy is different from testing recognition of one document type. Ask the supplier to explain why the proposed assignment is large enough to answer your question and where it deliberately stops.
What should useful advice contain?
The advice should support a next decision. It needs to describe the current process, the proposed change and the evidence behind the assessment. Make untested assumptions visible.
For a hypothetical internal document assistant, you might want to establish which sources are accessible, what users ask and how they check an answer. That requires something different from a demonstration using documents hand-picked by the supplier.
Agree what you’ll receive: a transferable task description, the alternatives investigated, a test report and an estimate for the next step. A report can be an appropriate format. Its value comes from evidence and usability, rather than whether you receive a document or a demo.
How should you assess an AI trial?
Define the test before judging the most impressive output. Collect representative examples, including incomplete input and questions the application can’t answer. Keep some examples back for final assessment so that tuning to the test set isn’t confused with performing well on new work.
Agree what counts as an error. Awkward wording needs a different response from an incorrect amount or a reference to a document the user isn’t allowed to see. Measure more than a single average percentage. Record how often people intervene and how much time checking takes.
The voluntary NIST AI Risk Management Framework offers a way to address risks during design, use and evaluation. It doesn’t prove that a particular application meets requirements. Ask the adviser to relate the assessment method to your task and the consequences of errors.
A trial may show that further investigation is worthwhile. Daily operation raises additional questions about access, support, costs at actual usage and changes to models or sources. Our guide to AI agent costs helps budget for that next phase separately.
Who assesses privacy and the AI Act?
Ask who will determine which obligations apply to the application and what expertise they’ll use. A consultant can describe the data flow and identify concerns without having completed a legal assessment.
The European Commission describes the AI Act as a risk-based system with different obligations and application dates. Many rules now apply, while transition periods also exist. Have the adviser relate current requirements to your role and application. A general ‘AI Act-compliant’ claim isn’t a useful acceptance criterion.
Make the assessment practical. Which information goes to which service? Who can access answers and logs? Which actions remain with a member of staff? Bring the people responsible for privacy and security into the assessment early and record unresolved questions before actual use begins.
Should you choose independent advice or one adviser and builder?
Both approaches can fit. An independent adviser can compare suppliers without pursuing the development contract. A supplier that also builds can investigate technical assumptions directly and carry knowledge into implementation. Neither route guarantees a better outcome.
For a combined assignment, have the advice delivered separately. Ask which alternatives were rejected and why. Make sure you can discuss the findings with another implementer. This prevents an investigation from silently committing you to one development supplier.
With separate suppliers, make the handover concrete. Who answers questions about assumptions, test data and acceptance? An adviser can be responsible for the agreed quality of the advice; responsibility for development follows from the development contract. Document the division rather than inferring it from a job title.
What does AI consultancy cost?
The price depends on the question, expertise required, access to information and agreed outputs. Discussing a defined task involves different work from investigating several departments and running technical trials. Without comparable scope, a general hourly or daily rate provides little guidance.
Request an estimate that identifies research, coordination, technical trials and delivery. Discuss the time your team must contribute too. A fixed price may fit a defined assignment; hourly work needs agreements about progress and a budget limit.
Calculate value from your own process. Compare the time and quality of current work with the trial, including human checking and recovery. Identified time savings don’t automatically release budget if the team must keep checking the same work or gains extra tasks.
How do you recognise relevant experience?
Ask for an example resembling your problem and have the supplier explain exactly what they did. A chatbot demonstration doesn’t establish experience with permissions or integrations in your circumstances.
At TopDevs, Planit Consulting is an existing example of using RAG to search an internal document archive. It supports the described project, rather than predicting your savings. Our RAG guide explains the technical choices around your own documents.
Ask about limitations and disappointments too. Which tasks stayed with people, which inputs failed and who maintains the application? Those answers help you judge whether the experience matches the assignment you’re considering.
How do you actually get started?
Write down the decision you want to make. Gather a few anonymised examples of current work and nominate someone who can assess the outcomes. Then request a proposal identifying which uncertainties will be investigated and what you’ll receive afterwards.
For AI strategy and consultancy, we turn that question into a suitable first step. Book a call to discuss the scope.
