AI Consulting & Audit
Discover where AI can genuinely improve your business.
Not sure where to start with AI? We analyse your company’s processes, needs and challenges to find the areas where AI can bring the most value. You get concrete recommendations, implementation ideas and an action plan tailored to your business.
Ask about AI Consulting & Audit Book a free consultation
Prefer to write? Send us an email at [email protected]
Who it’s for
Teams that think AI could help, but don’t know where to start or which tool fits.
It may be for you if
- You hear about AI everywhere, but nobody has shown you where it would help your own work.
- You have tried a few tools, and the results were mixed or hard to judge.
- You need to decide where to spend time and budget, and want the reasons written down.
- You want an independent view before committing to a vendor, a tool or a hire.
01What you get
What you get
- A map of the task: the people involved, current tools, constraints and what a useful result would look like
- AI compared with process changes, automation and existing tools, simplest first
- A reasoned recommendation: which option fits, what alternatives were considered, and what it cannot do
02In detail
What it involves
An AI consulting engagement is a structured look at how your company works today, ending in a plan you can act on. It is not a sales pitch for a particular tool.
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Conversations with the people who do the work
We talk to the people who run the processes in question and look at the tools, documents and data they use, to see the work as it really happens, not only as a procedure describes it.
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An audit of processes and tools
We list the tasks that take the most time, repeat most often or cause the most errors, and note the constraints: data that can’t leave the company, systems that must stay, budget and skills.
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Opportunities, compared
For each candidate we compare AI with simpler options: a process change, ordinary automation or a tool you already have. Each is described by its expected benefit, effort and risk, so they can be weighed side by side.
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Recommendations and an action plan
A written report: what to do first, what can wait and what isn’t worth doing, with the reasons. Where AI is recommended, we name the kind of tool and what it cannot do.
03Why it pays off
Knowing where AI helps is worth more than any single tool.
AI does not help evenly. On some tasks it saves hours; on others that look just as hard, it makes results worse. An audit tells the two apart before you pay to find out.
Most companies don’t lack AI tools; they lack a clear view of where those tools fit. Trials start with whatever is popular, run alongside daily work and end without a verdict. Months later it is still unclear whether AI helped, and the team’s patience has been spent.
Research shows why guessing is expensive. In a preregistered experiment with Boston Consulting Group, consultants using AI completed realistic tasks faster and with better quality. But on a task chosen to lie outside what AI does well, they were less likely to reach the correct answer than colleagues working without it. The same tool helped and harmed within the same kind of work.
A structured audit turns that uncertainty into decisions. You see which tasks are worth trying first, which need a simpler fix such as a process change or ordinary automation, and which are better left alone. Because every option is compared on benefit, effort and risk, you can explain the choice to your team, your management or whoever holds the budget.
The plan stays yours. Recommendations name kinds of tools, not products we resell, so you can carry them out with whoever you choose, including your own team.
Less spent on trials that go nowhere
Pilots start where the case is strongest, with an agreed way to tell whether they worked.
Decisions you can explain
Every recommendation comes with its reasons, the alternatives considered and what the approach cannot do.
Simpler fixes found too
Sometimes the best answer is a process change or a tool you already pay for. That is a useful result, not a failure.
A plan the team recognises
The people who do the work are heard, so the plan reflects how the work really runs and is easier to adopt.
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Fig. 1
19% less likely to reach a correct solution: consultants using AI on a task chosen to lie outside what AI does well.
On 18 tasks within AI’s capabilities, the result was the reverse: 12.2% more tasks completed, 25.1% more quickly.
About this figure: 19%
A preregistered experiment with 758 Boston Consulting Group consultants using GPT-4 in 2023, on realistic consulting tasks designed for the study. Results with newer tools, or for other kinds of work, may differ.
These figures come from studies and rules in other settings. They show why the work matters, not what will happen in your business.
04How we work
How we work
Map the work
The task, the people involved, current tools and constraints.
Compare the options
AI alongside process changes, automation and existing tools, simplest first.
Recommend
Which option fits, what else was considered, and what it cannot do.
We map the task, the people involved, current tools, constraints, and what a useful result would look like.
You get a reasoned recommendation that explains which option fits, what alternatives were considered, and what the recommended approach cannot do.
Questions?
Have questions? Let’s talk.
Not sure whether this fits your situation? Tell us briefly what you’re working on. We’ll read it, ask a few questions and suggest a sensible next step, even if that step isn’t working with us.
- A short description of the problem is enough to start.
- No sales script and no obligation.
- You talk to one of the founders, not an account manager.
Ask about AI Consulting & Audit Book a free consultation
Prefer to write? Send us an email at [email protected]
05FAQ
Frequently asked questions
Do we need to know anything about AI before we start?
No. You know your work; that is what we need. We ask about the tasks, the people and the tools involved, and explain any AI terms as we go.
Will you recommend AI even if it isn’t the best option?
No. AI is compared with simpler options: a process change, ordinary automation or a tool you already have. If one of those fits better, that is our recommendation, with the reasons.
What do we receive at the end?
A written report: what to do first, what can wait and what isn’t worth doing, with the reasons, the alternatives considered and what each recommended approach cannot do.
Do you build or train AI models?
No. We do not train or build custom AI models. We work with established tools and services, and recommend the kind of tool that fits.
Who from our company needs to take part?
The people who run the processes in question, and whoever decides about tools and budget. We talk to them and look at the tools, documents and data they use, to see the work as it really happens.
Which constraints do you take into account?
The ones that shape what is realistic: data that can’t leave the company, systems that must stay, budget and the skills available in the team.
How do you compare the options?
Each candidate is described by its expected benefit, effort and risk, so AI, a process change, ordinary automation and the tools you already have can be weighed side by side.
What if AI isn’t the answer?
Then the report says so. A process change or a tool you already pay for is a useful result, and it is often the quickest one to put into practice.
Can you also carry out the recommendations?
If you want us to: automation, team workshops and custom software are among our services. The plan names kinds of tools, not products we resell, so you can also carry it out with your own team or anyone you choose.
How much does it cost?
It depends on the scope. After a first conversation we describe what the work would include and what it would cost, in writing, before anything starts.