AI Consulting Services —
From trying tools to work you can measure.
Someone on your team has ChatGPT drafting customer emails, someone else uploads proposals to another tool; nobody measures what works, and nobody knows which data goes where. In AI consulting we map that scattered use, pick the work that will genuinely pay off, write the data rules and build a roadmap that starts with a small pilot.
- Free initial call
- Pilot first, then scale
- Data and privacy rules included
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Typical searches from companies planning their AI adoption
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What is AI consulting?
AI consulting helps a business decide which work to use AI for, with which tools, under which data rules and in what order. The output is not a tool; it is a roadmap you can act on.
AI transformation is those decisions showing up in the work: the team does specific tasks with AI, results are measured and what works is rolled out. It rarely starts with a big software project — usually with two or three well-chosen tasks.
Consulting is not detached from delivery. Some items on the roadmap are automations, some are chatbots, and some are simply the team learning to use AI well; we can build them, or your own team can.
If you already know which task you want to automate, see our AI automation service.
Today · scattered use
- Everyone uses a different tool on a personal account
- Nobody knows which data is uploaded where
- Subscriptions, but no measurement
- Good practice stays with one person
With a roadmap
- Approved tools and company accounts
- Written data rules: what can and cannot be uploaded
- One metric and one pilot per use case
- What works spreads to the team through training
AI enters most companies by seepage, not by decision . One employee tries one tool, another tries a different one. A few months later there is no transformation — just subscriptions nobody has a full list of .
Why AI initiatives in business fail to deliver
The problem is rarely the technology. Scattered experiments usually get stuck in these three places.
- no data policy
ChatGPT · personal accounts
Sales and support · customer emails
- nobody measures
3 separate subscriptions
Images, copy, meeting notes
- privacy risk
Proposals uploaded to an AI tool
Containing client names and prices
- not shared with team
Marketing · content drafts
One person uses it regularly
- left unfinished
Accounting · invoice-reading trial
Tried once, abandoned
- None of the five is measured. In two of them, customer data goes somewhere with no rules.
Illustrative example · company and usage are fictional
Tools get chosen, work does not
“Which AI should we buy?” gets asked before “which of our work is slow, costly or error-prone?”. Then the tool ends up looking for a problem.
No data rules
Customer details, proposals and contracts are uploaded to personal accounts, and nobody takes responsibility for privacy law or trade secrets.
Success is not measured or shared
One employee’s useful practice stays with them. With no metric, management cannot decide whether to continue or stop.
Where and how does your team use AI today? Let’s start with a short inventory.
Free initial callWhat does an AI consultant actually do?
Six workstreams. Each ends with a document in your hands or a pilot that runs.
Usage inventory and readiness review
Which tools the team uses, for which work, with which data — and how ready your processes and data are for AI. Built from interviews and a short survey.
OutputInventory and readiness report
Choosing the use cases
From dozens of ideas we pick the two or three tasks that save you the most time or errors, scoring each on impact, difficulty and risk.
OutputPrioritised use-case list
Data and privacy rules
Which data can go into which tool, company account settings, retention and cross-border transfer questions, plus a one-page usage policy for the team. Legal wording is finalised with your privacy adviser.
OutputAI usage policy
Roadmap and tool decisions
Off-the-shelf tool, enterprise plan, or an automation or chatbot build? Subscription sprawl gets trimmed, and each item gets an order, an owner and a budget line.
Output6-12 month roadmap
Pilot and measurement
A pilot of a few weeks on the chosen task, measured against one metric agreed in advance (time taken, error count, response time). The go/no-go decision rests on that data.
OutputPilot report: before / after
Role-based team training
Not a generic “ChatGPT course”: hands-on training for each role — sales, support, accounting — using examples from their own work, plus a ready-made prompt library.
OutputTraining and prompt library
Where to start with AI transformation: the first eight weeks
Transformation is a long road, but the first two months are well defined. We gather evidence with a small pilot before any big investment.
- 1Weeks 1-2
Discovery and inventory
Management and team interviews, a usage inventory, a review of processes and data. Who uses what, with which data, appears on one list for the first time.
Inventory and readiness report
- 2Week 3
Selection and rules
Two or three use cases are chosen, each with its metric. Data rules and a draft usage policy are prepared.
Use-case list and draft policy
- 3Weeks 4-7
Pilot and training
The pilot runs on the chosen task; the pilot team gets role-based training, and weekly check-ins clear whatever gets stuck.
A running pilot and a trained team
- 4Week 8
Measurement and roadmap
Pilot results are compared against the metric agreed at the start, and the roll-out, delivery and budget plan is written from there.
Pilot report and 6-12 month roadmap
What we need from you
- A senior sponsor who can make decisions
- A few hours a week from two to four pilot team members
- The list of tools and subscriptions in use
- A meeting with your privacy adviser or data controller, if you have one
Not sure where to start? That is fine — in the first call we will talk through a few candidate tasks together.
Book a callConsulting, automation or a chatbot? Where to start?
All three involve AI, but one answers “what should we do?” while the other two are about “let’s build this”.
- This page
AI consulting
Decides which work to start with, which tools and which data rules, and gathers evidence through a pilot and training.
Choose it when
Your team uses scattered tools, and where to start or what the data risks are is unclear.
AI automation
Turns a specific repetitive process (orders, invoices, reports, data transfer) into a working workflow.
Choose it when
You already know which task you want to automate.
See AI automationAI chatbot
Sets up an assistant that answers customer questions on WhatsApp and your website from your own information.
Choose it when
What you really need is fast, consistent answers to customer questions.
See AI chatbot services
If your need is already clear, you do not need consulting — going straight to delivery is cheaper, and we will say so in the first call.
Who is AI consulting the right investment for?
Before comparing AI consulting firms, the first question to ask is whether you actually need this service.
A good fit if…
- Several teams use AI in a scattered way
- You handle customer or employee data and need rules for it
- Management wants to invest but the starting point is unclear
- A few people can make time for a pilot
Not yet, if…
- You have one clear task (say, moving WhatsApp orders into a sheet) — automation directly is cheaper
- What you need is answers to customer questions — go straight to a chatbot
- You want a data science project to build your own AI model — this is not that
- Nobody can make time for a pilot
What we do not promise
- A guaranteed efficiency figureAnyone quoting a figure before measuring is describing someone else’s slide deck, not your business. We agree the metric in the pilot and report against it.
- “One platform transforms the whole company”No single tool fits every job. Which tool handles which work is decided case by case.
- “A few days of training transforms the team”Training is a start. New habits stick only when they enter daily work and get measured, which is why training runs alongside the pilot.
- “We guarantee legal compliance”We set up the technical and process side. The legal compliance assessment belongs to the data controller and their legal adviser.
What drives AI consulting pricing?
The consulting fee, tool subscriptions and any delivery work are separate items. We do not publish packages; these factors shape the proposal:
The proposal lists consulting, tool subscriptions and delivery work separately. The roadmap is yours; you can deliver it with another team.
Teams and departments
One team, or several departments or branches? Interviews, inventory and training scale accordingly.
Number of pilots
One pilot, or several running in parallel?
Data sensitivity
Organisations handling sensitive data — health, finance, legal — need more work on data rules and controls.
Training scope
How many roles, how many people, how many sessions.
Delivery support
Will we build the roadmap items, or will your own team?
AI consulting: frequently asked questions
It helps a business decide which work to use AI for, with which tools, under which data rules and in what order. It covers a usage inventory, use-case selection, data and privacy rules, a pilot, team training and a roadmap.
Your free AI consultation
Fill in the form and let’s talk about how your team uses AI today. No commitment.
- 1We listen to how your team uses AI today
- 2We talk through a few candidate tasks and the data risks
- 3We tell you in writing whether you really need consulting, with a proposal