London & Dubai
We start with a discovery. Then we train your team and set your AI governance at the same time. Then we build your operating system around how you work, and run it with you. Senior specialists at every step.
Top 20 AI Leaders 2026. British Veteran Owned. Armed Forces Covenant signatory. Regular expert for Forbes in AI and cybersecurity.
The problem
Owners tell us about the same four problems.
Staff paste client work into personal AI accounts because there is no safe one.
One MD showed us eleven AI subscriptions. His team used two.
Leaders hold back because they cannot see where client data goes.
A pilot starts well, then fades, because the real work was never mapped.
Source: Microsoft and LinkedIn, 2024 Work Trend Index, 8 May 2024. 31,000 people in 31 countries. Bringing your own tools is shadow AI.
Where you start
Pick the door that fits the size of your business.
One or two people
Our Claude plugin, plus a 2-hour one-to-one session with Chris.
See Claude Built in a Day →A team starting out
Find where AI pays back first, then train and govern side by side.
Ready to commit
Built around how you work, run with your team, measured monthly.
See Claude for Teams →How it works
Each step stands on the one before it, delivered by our senior team as a member of the Claude Partner Network.
Step 1 · Discover
One-off · 4 to 6 weeks
We find where AI pays back first in your business, and what has to be made safe before anything gets built. You keep the findings report whatever you decide next.
Step 2 · Train and govern
Training days · Governance pack · Run together
Your team learns Claude on their own work while the rules are drawn around it. Shadow AI comes inside a boundary instead of being banned.
Step 3 · Build and run
Monthly · Run with your team
Claude built around how your business works, then weekly sprints, cadence meetings, ongoing training and ROI measured every month. It runs inside the governance you set in step 2.
Every price is on one page: see pricing.
Proof
We built this system for ourselves first. I run it every day.
In January 2026 the business ran at a loss. These are the quarters since, read straight from Xero, to 29 September 2026.
Client results and the founder proof case study are on our case studies page.
How we remove fear and risk
We set the rules before anything gets built. Then we build your policy into Claude itself, as an enforcement layer, so the rules apply on every task while your team is still learning them.
UK government guidance
Published 8 September 2026. Your risk register matches it.
Download the toolkit (PDF) →© Crown copyright 2026. Contains public sector information licensed under the Open Government Licence v3.0.
Standards
Your AI Manifesto sets the red lines. Technical governance maps to ISO 42001, UK GDPR, NIST AI RMF and the EU AI Act.
See how we govern →Anthropic
We take no commission on licences. If Copilot suits you better, we say so.
About the partnership →What it costs. Every price, from a SPARK Discovery to Claude for Teams, is published on one page.
See pricing →Free resources
What a SPARK Discovery hands you, anonymised.
See the sample report →The UK government guidance we follow.
Download the PDF →People First. Technology Second.
Go deeper
Five parts make up the operating system we build around your business. Claude reads your files, writes in your voice, and produces real work in your folders, so your team spends its hours on clients rather than admin. They are built in this order, from the foundation up.
An org-level context file that every person’s Claude reads before it writes a word. Your positioning, your offers and prices, who you sell to, and the red lines it must not cross. Everything above inherits this. Get it wrong here and every layer above repeats the mistake.
A profile per person, built from their real writing. Sentence rhythm, the words they use, the words they would never use, and worked examples of their best work.
Harts of Stur: 100% voice consistency across a 10,000 SKU catalogue.
The way your best person does a job, written down so it happens the same way every time and does not walk out of the door when they do. Sales, operations, finance, bids and tenders, marketing.
Professional services client: 10 hours a week back, per person.
The jobs that run without anyone asking. The Monday briefing waiting at seven, the month-end pack, the inbound lead answered while it is still warm.
Catering platform: £52K a month recovered on a 15-minute trigger.
Every document, decision and correction goes back in. What answered you last month answers better this month, and it stays when people move on.
HR policy assistant: 35 documents ingested, 85% faster answers.
See Claude for Teams in full · Bespoke AI solutions, explained plainly
The gains stack, month over month. Month one looks like nothing happens. That is governance being set. Once the rules and the foundation are in, each layer builds on the one before.
Your people are already using AI. The real question is whether anyone has set the rules yet. We start by making it safe, on two fronts at once.
Human governance is the AI Manifesto: red lines, green lanes, and a team that moves from fear to confident use. Technical governance is ISO 42001, certification-ready, mapped to the jurisdictions you actually trade in.
Get this right and adoption stops being a fight. Your people trust the system, so they use it. That is why governance is step one. We install the guardrails before a single workflow gets built.
Where does your business start? With your leadership team. We discuss your business, baseline your culture and strategy, and map your AI opportunities. You see where AI fits your actual workflows before a penny goes on the build.
It is the audit everything else is built on. From there, governance and training run side by side, then we build Claude for Teams. See an anonymised sample findings report.
Most AI training teaches prompting and stops at lunch. We teach your team a method that builds across their real work, and we set your AI governance in the same weeks, so they learn inside the rules from day one.
One team, up to 10 people. The hands-on day on your real work. Leave with workflows you use Monday morning.
Larger group, up to 20. A tailored pre-day scoping call, the six modules, and a post-day adoption plan so it sticks.
Bring the decision you have been circling for a month. The Combat Estimate run on it in the room, the difficult calls made under uncertainty, data paralysis broken, and a growth plan with a stop condition in it.
Claude for Teams comes after the SPARK Discovery, and it is where the work gets delivered. We build Claude around how your business actually works, inside the governance boundary you have already set, and run it with your team. Chris leads it as your Fractional Chief AI Officer, driving growth and adoption month over month. Governance is a separate package, set up before the build. You work directly with Chris.
Claude built around your business, then ongoing training, weekly sprints, cadence meetings and ROI measured month after month.
Chris Duffy. Royal Signals and Ex Special Forces Communicator, 23 years. Certified Chief AI Officer. Regular expert for Forbes in AI and cybersecurity. Two decades spent getting the right information to the right people at the right time, to inform mission critical decisions.
Same job. New tools.
Common questions
Ignite AI Solutions is a UK-based AI consultancy specialising in governance-first AI transformation. We train your people to use Claude AI in their real work, build Claude for Teams, our governed AI operating system, around your business, and create compounding gains over a 6 to 12 month roadmap, without adding headcount.
Three steps. First a SPARK Discovery (4 to 6 weeks) finds where AI pays back first and what has to be made safe. Then Claude training and AI governance run side by side, so your team learns inside the rules. Then we build Claude for Teams around how you work and run it with you, with weekly sprints, cadence meetings and ROI measured. Every price is published on our pricing page.
The first 90 days prove it works, your team is trained and an initial version of Claude for Teams is in place. The full 12-month trajectory covers four phases: Foundation (days 1 to 90), Acceleration (months 4 to 6), Integration (months 7 to 9), and Compounding (months 10 to 12).
Shadow AI is when employees use personal AI accounts (ChatGPT, Claude, etc.) for work without company oversight, uploading client data, commercially sensitive information, or regulated content without realising the risk. Ignite AI Solutions addresses shadow AI by giving teams governed, policy-compliant Claude access from day one, so the useful behaviour continues inside a boundary instead of outside one.
An AI Operating System is a custom-built layer that wraps AI tools around your business, your tone of voice, your processes, your knowledge base, and your governance policies. It means every team member uses AI consistently and safely, and the system improves the more it is used.
