AI advisory · Since 2017
AI advisory from a team building with AI since 2017.
Senior people who find the AI work worth doing, build it, and run it safely. Dialled up for a build, back down once it is live.
01 Two-minute check
How ready is your business for AI?
Six questions, scored in your browser. You get a readiness profile, a plain-English read and the next steps we would suggest.
AI readiness check
Question 01 of 06Data
Where does the data you would use live?
Picture the use case you have in mind. AI is only as useful as the data it can reach, and that you can trust.
Question 02 of 06Use today
Is AI already being used in your business?
Count the tools people use on their own, such as ChatGPT or Copilot. Unofficial use counts too.
Question 03 of 06Ownership
Who owns AI decisions?
Someone has to decide what gets built, what it may cost and when to stop.
Question 04 of 06Governance
Do you have an AI usage policy?
A usage policy tells people which tools they may use, with which data, and who to ask.
Question 05 of 06Quality
Do you know what “good enough” looks like for your use case?
“If your quality threshold needs to be 100%, it’s likely not a generative AI use case at all.”
Question 06 of 06Capacity
Does your team have time to deliver AI work?
AI work needs time from the people who know the process, not only from technologists.
Your readiness profile
Indicative onlyYour profile: Building. 03 / 04
Strongest Weakest
“If your quality threshold needs to be 100%, it’s likely not a generative AI use case at all.”
Nothing you enter leaves your browser.
Indicative only.
Your answers so far
- Data: not answered yet.
- Use today: not answered yet.
- Ownership: not answered yet.
- Governance: not answered yet.
- Quality: not answered yet.
- Capacity: not answered yet.
02 The short answer
“Most businesses do not have an AI problem. They have an execution problem.”
Toby White Founder and Managing Partner
Artimus AI advisory helps growing businesses in the UK and Gibraltar decide which AI work is worth doing, take it from pilot to production, and run it safely with evaluation, governance and cost control. You get senior people from a team that has been building with AI since 2017, and you only pay for what you need, when you need it.
In our experience, pilots rarely stall because the model is wrong. They stall because nobody agreed what good looks like, nobody owns the outcome, and nobody is watching what each task costs. We fix that first. Then we build.
03 What we do
From the first question to a system in production.
Five ways to use us. Start with one, add another when you need it, and stop when you do not.
- 01
AI readiness review
Find out where you really stand.
A clear, senior view of where AI can help your business now, and where it cannot yet.
- What AI is already in use, including unsanctioned use
- How ready your data is
- Which use cases are worth doing, and which are not
- Governance gaps to close first
- A 90-day plan you can act on
- 02
Pilot to production
Take a stalled pilot live, or stop it.
For the AI pilot that impressed in the demo and then went nowhere.
- An evaluation set that defines what good looks like
- Cost per task, measured before you scale
- Adoption checks with the people who will use it
- A clear decision: go live, fix or stop
- 03
Agents and applied builds
Copilot Studio and custom agents.
We design and build agents and AI features alongside your team, so the understanding stays in your business.
- Microsoft Copilot and Copilot Studio agents
- Custom agents on the model that fits the job
- Integration with your systems and data
- Built to an agreed quality threshold
- 04
GenAIOps governance
Run AI safely, and know what it costs.
The operating discipline that keeps AI useful, safe and affordable after launch. Toby is an ambassador for the Centre for GenAIOps.
- An AI usage policy people will actually follow
- Evaluation and observability in production
- Cost control, budgets and alerts
- A review before every model change
- 05
Fractional Head of AI
An AI lead on your leadership team, part time.
Senior AI leadership without a full-time hire. One person owns AI across the business and brings in the bench when a build needs more hands.
- Sits with your board or leadership team
- Owns the AI roadmap and priorities
- Chooses tools and suppliers for the job
- Dials up for a build, back down when it is live
Not sure where to start?
Most clients start with a conversation. Tell us what you are trying to do, and we will tell you which of these you actually need, if any.
04 Our first test
Set the quality threshold before you build.
“If your quality threshold needs to be 100%, it’s likely not a generative AI use case at all.”
Generative AI is probabilistic. That makes it strong at drafting, summarising, searching and triage, and risky anywhere a single wrong answer is unacceptable. So before we build anything, we agree three things with you.
- 01
What good looks like
A quality threshold and an evaluation set, agreed before the build, so success is measured rather than argued about.
- 02
What each task costs
Cost per task at the volume you expect, so the business case survives contact with real usage.
- 03
Who owns it
A named owner for the outcome, the data and any change of model. The model is rarely the problem. Ownership is.
05 Proof · Agents and applied builds
AcquariusTwo bespoke agents, built in Copilot Studio.
Toby supported the Acquarius team through the build of two bespoke Copilot Studio agents, step by step, so the team built a deeper understanding of Copilot, Copilot Studio and Microsoft’s wider AI tools as they went.
That is how we like to work on AI: with your team, not around it. You get the system, and the knowledge to run it.
“Toby supported us through the build of two bespoke Agents, guiding us step-by-step as we developed a deeper understanding of Copilot, Copilot Studio, and the wider capabilities of Microsoft’s AI ecosystem. His ability to translate complex technology into practical, usable solutions has been invaluable.”
06 Since 2017
Building with AI five years before ChatGPT.
We have been taking AI from idea to working system since 2017. That is why we know what survives the hype and what does not.
- June 2017
Founded in Cardiff
Artimus starts as an AI and software studio. First AI partnership: a risk-assessment tool with Greyfly.
- January 2018
Co-founded AI Wales
A community for people building with AI in Wales. Today it has more than 2,300 members.
- September 2019
Peer-reviewed neural network research
Toby’s chapter on real-time neural networks for autonomous vehicles is published by IntechOpen.
- November 2022
ChatGPT launches
By now we had been building with AI for more than five years.
- 2024
Centre for GenAIOps
Toby becomes an ambassador for safe, efficient generative AI in production.
- April 2026
AI Summit Gibraltar
Brought to you by Artimus Consulting. The 2026 summit sold out. Next: 15 April 2027.
Where should a business our size start with AI?
Start with what is already happening. Your people may already be using AI tools without sanction. An AI readiness review maps that use, checks your data, tests each candidate use case against a quality threshold and a cost per task, and ends with a 90-day plan, so you only spend on the use cases that pass.
Our AI pilot has stalled. Can you help?
Yes. In our experience, pilots stall on ownership, evaluation or adoption, rarely on the model. We review the pilot, build an evaluation set that defines what good looks like, measure the cost per task and check whether people will actually use it. Then we either take it live or recommend stopping it, and explain why.
Do you build, or just advise?
Both. The people who advise you can build what they recommend. We design and build Copilot Studio and custom agents and the integrations around them, working alongside your team. For Acquarius we supported the build of two bespoke Copilot Studio agents.
How do you keep AI costs under control?
We measure cost per task from the first pilot, not after launch. That means using the smallest model that meets the quality threshold, setting usage budgets and alerts, and reviewing cost whenever a model or its pricing changes. Governance covers spend as well as risk.
Which AI tools do you work with?
Microsoft Copilot and Copilot Studio, OpenAI, Anthropic, Google and open-source models, chosen for the job. We pick what meets your quality threshold, data requirements and budget, and design so you can change models later without starting again.
What does a fractional Head of AI do?
They sit on your leadership team part time and own AI across the business: the roadmap, the usage policy, tool and supplier choices, evaluation and cost. You get senior AI leadership without a full-time hire, with the bench behind them when a build needs more hands.
