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Fractional CTO office · UK and Gibraltar

Senior technology leadership, only when you need it.

The capability of a senior technology team. Without building one. One lead, one contract, and a bench of senior specialists that scales with you. Only pay for what you need, when you need it.

Talk to us → Plan your capacity

Called in when

  • Since 2017Building with AI, five years before ChatGPT
  • 100+ yearsCombined senior technology experience
  • One leadOne contract, one point of accountability

Fractional CTO office

Based in Gibraltar Founded in Cardiff

Building with AI since 2017. Five years before ChatGPT.

Our history
Trusted by teams at
  • M&S
  • Structural Surveys UK
  • Acquarius
  • Medi2data
  • eyeDP
  • Chronext

01 The fractional model

Growing businesses need senior technology leadership. Not always five days a week, every week. So we built a model where you only pay for what you need, when you need it.

Pick the situation closest to yours. The plan shows the senior days each discipline needs, month by month, as the work dials up and back down.

Fractional capacity planner

12 monthsSenior days per month

Your situation
Intensity

The typical shape for this situation. We tune it once we know you.

How it flexes

  • Dial up for a build, a launch or a crisis.
  • Dial down to a few days of leadership when things are steady.
  • Change the mix as priorities move, under one contract.
Peak month
19 senior days
Month 4
Disciplines involved
6
One lead, one contract
Steady state
5 days a month
From month 7
12-month total
105 senior days
One hire: 260 paid days

The shape Two months to find out why the pilot stalled. A build peak in months 3 to 5 puts it right, then a few days a month of evaluation, monitoring and cost control keep it running safely in production.

Senior days per month, by discipline

Illustrative. Every plan is agreed with you.

Discipline M1M2M3M4M5M6M7M8M9M10M11M12 Total
CTO leadership 332222222222 26
Architecture and cloud 122210000000 8
Security 011211111111 12
Data and AI 345653222222 38
Engineering 003541000000 13
Delivery 012221000000 8
All disciplines 7111519158555555 105

Disciplines Switch off anything you already have covered

CTO leadership

The same 12 months, on the same scale

One full-time hire: 260 paid days a year from one person in one discipline, holidays included.

This plan: 105 senior days across 6 disciplines, flexing month to month.

Talk to us about this plan

02 What clients say

Proof from the people we work with.

Retail, property, professional services, healthtech and eCommerce. Five clients, in their own words.

M&S

What we did

A data and technology discovery that identified where existing systems and data could drive efficiencies, including a new food buying process.

Working with Artimus has opened our eyes to what we can do with the technology and data that already exists in our business. We have identified lots of areas where we can drive efficiencies, and we are already implementing a new food buying process which we believe will increase turnover and reduce our markdown costs.

Andrew Welsh M&S

Structural Surveys UK

What we did

Fractional CTO support since October 2022, developing the firm’s property survey software with its structural engineers.

Structural Surveys UK have been supported by Artimus for approximately 3 years during which time they have been instrumental in developing industry leading property survey software working collaboratively with our structural engineers to transform our business operations.

Simon Clarke Managing Director, Structural Surveys UK

Acquarius

What we did

Two bespoke Copilot Studio agents, built step by step with the team.

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.

Gareth Cross COO, Acquarius

Medi2data

What we did

Helped overcome challenges and improve the scalability and efficiency of the technology stack.

Artimus’s expertise, particularly embodied by Toby and Byron, played a pivotal role in empowering Medi2Data to overcome challenges, make informed decisions, and enhance its technology stack’s scalability and efficiency.

Nick Freeman COO, Medi2data

Chronext

What we did

Redesigned infrastructure for scalability and reliability, with modern DevOps tooling.

Their team not only redesigned our infrastructure for better scalability and reliability but also integrated state-of-the-art DevOps tools that enhanced our deployment speeds and operational efficiency. … Choosing Artimus Consulting was one of the best decisions we’ve made.

Emanuel Schleussinger CTO, Chronext

Emanuel has since joined the Artimus bench.

Tell us where you are and where you want to get to.

Talk to us →

03 The team

Senior people, no exceptions.

More than 100 years of combined senior technology experience, from early eCommerce personalisation at Amazon to secure cloud platforms, banking and AI in production.

Meet the team →

04 What we do

One senior team. Four ways to use it.

  1. 01 Fractional CTO Board-level technology leadership for a few days a month. Strategy, architecture, hiring and supplier oversight, owned by one senior lead who knows your business. StrategyArchitectureBoard
  2. 02 AI advisory Find the AI work worth doing, build it, and run it safely, with evaluation, governance and cost control built in. From a team building with AI since 2017. ReadinessAgentsGenAIOps
  3. 03 Programme rescue Over budget, over time, under-delivered. We stabilise the situation, reframe the problem against the business outcome and restore momentum. StabiliseReframeRestore
  4. 04 Engineering bench Senior architects, engineers and specialists who plug in when you need them and step back when you don’t. Same contract, no recruitment. CloudSecurityData

05 How an engagement runs

From first conversation to a team that runs itself.

Most engagements follow this arc, with the same senior lead from the first conversation onwards. The senior capacity dials up when the work needs it, and back down when it does not.

It starts with a straight conversation.

Talk to us

  1. Stage 01 of 05

    Talk

    A straight conversation about where you are, where you want to get to, and whether we are the right fit.

    You get
    An honest view of whether, and how, we can help.
    With
    You and your lead
    Capacity
    Light Illustrative

  2. Stage 02 of 05

    Diagnose

    A focused review of your technology, team, data, suppliers and roadmap. We find where value is being lost and what matters most.

    You get
    A clear view of what is working and what is at risk.
    With
    Your lead
    Capacity
    Focused Illustrative

  3. Stage 03 of 05

    Plan

    Agreed priorities and a roadmap the board understands, with the senior capacity each stage needs.

    You get
    Agreed priorities and a plan for the senior time.
    With
    Your lead and your board
    Capacity
    Focused Illustrative

  4. Stage 04 of 05

    Build

    Your lead dials up the bench: architects, engineers and AI specialists for exactly as long as the work needs them.

    You get
    Working technology, with one lead accountable for all of it.
    With
    Your lead and the bench
    Capacity
    Dialled up Illustrative

  5. Stage 05 of 05

    Hand over

    We dial down to leadership, document everything and, when you are ready, help you hire your permanent team.

    You get
    Documented systems and a team ready to run them.
    With
    Your lead and your new team
    Capacity
    Dialled down Illustrative

It starts with a straight conversation.

Talk to us

06 Since 2017

We were building with AI five years before ChatGPT.

ChatGPT launched in November 2022. We have been taking AI from idea to working system since June 2017, so we know what survives the hype.

5 years, 5 months ChatGPT 201720222027
Illustrative. The four eras are industry context, not Artimus milestones. Wave heights show the shape of each era, not measured data.
  • Machine learning goes mainstream 2017 onwards
  • Language models take shape Around 2019 to 2021
  • ChatGPT and the generative wave Late 2022 onwards
  • Making AI work in production 2024 onwards

  1. June 2017

    Founded in Cardiff

    Artimus starts as an AI and software studio. First AI partnership: a risk-assessment tool with Greyfly.

  2. January 2018

    Co-founded AI Wales

    A community for people building with AI in Wales. Today it has more than 2,300 members.

  3. 2018

    Machine learning for growing businesses

    Recommendation engines, computer vision and data science for SMEs.

  4. September 2019

    Peer-reviewed neural network research

    Toby’s chapter on real-time neural networks for autonomous vehicles is published by IntechOpen.

  5. April 2021

    Moved to Gibraltar

    The core team relocates to Gibraltar. The fractional CTO office follows from 2022.

  6. November 2022

    ChatGPT launches

    By now we had been building with AI for more than five years.

    Measured from June 2017: 5 years, 5 months

  7. 2024

    Centre for GenAIOps

    Toby becomes an ambassador for safe, efficient generative AI in production.

  8. April 2026

    AI Summit Gibraltar

    AI Summit Gibraltar, brought to you by Artimus Consulting, sells out in its first year.

Illustrative. The four eras are industry context, not Artimus milestones. Wave heights show the shape of each era, not measured data.

On LinkedIn

Straight talk on AI and technology leadership.

01 Article May 2026 Why the AI Summit worked, and what Gibraltar needs next Last month we ran the first AI Summit Gibraltar at the Sunborn. Eleven speakers, just over a half-day of talks, and a government breakfast hosted by Sir Joe Bossano the morning after. 02 Post AI isn’t the problem. We are. In most cases, the failure wasn’t because the tech didn’t work. It was because we didn’t set it up to succeed. AI doesn’t replace the need for leadership. It demands it. 03 Post Set the quality threshold first Boards need someone to define baseline expectations, appropriate trust levels, and realistic KPIs. If your quality threshold needs to be 100%, it’s likely not a generative AI use case at all.