Turn scattered AI use into approved workflows your firm can trust
Some of your people are genuinely good at AI now. The same tools may also be taking client data in different directions, with no shared method and no one watching the boundary.Capability has climbed. Control has not always kept pace.The Practice Labs helps client-sensitive teams move both together: useful AI workflows, safer data boundaries, shared rules, and evidence management can rely on.
Where to start
Start with your own number. A free two-minute readiness check shows where you sit and where your data is most exposed. No email wall, no sales call.
When you want the whole team mapped and a costed plan you can evidence, that is the AI Use Review.
Prefer to talk it through first? A short call, no charge and no pitch, entirely optional.
Practical implementation. Governance by design. Inspired by NASA’s readiness-level approach.
The gap isn't awareness. It is readiness
1. Most firms are past the awareness stage. Someone is using ChatGPT. Someone is testing Copilot. Someone has found a shortcut that saves time. The problem is that the use is uneven, undocumented, and hard to govern.
2. The same task gets done five different ways by five different people, because there is no shared method and no standard.
3. You suspect confidential information is going into AI tools, and you could not say what, or how much, or where it ends up.
4. You wrote a policy, or you mean to. Either way, nobody is enforcing it at the point where the work actually happens.
5. You know there are hours to be won back across the team. You just do not have anyone to come in and show your people exactly how, safely.
The gap is not AI interest. It is installed practice.
The AI Readiness Level model
ARL Methodology
The Practice Labs is built around the AI Readiness Level model, or ARL: a five-level framework inspired by NASA’s Technology Readiness Levels.NASA’s model asks whether a technology is ready to move from theory to real-world use. We apply the same discipline to AI inside a business.ARL measures two things together: capability and control.Capability asks what your people can actually do with AI. Control asks whether the organisation can prove that use is safe, consistent, and governed.Your level is set by the weaker of the two. That matters because AI capability without control creates risk, and control without capability creates theatre.The score is evidence-led, not opinion-led. It is not a verdict on how clever your team is. It is a reading of what is actually installed, what is still informal, and what needs to change next.That is why the number often comes in below where people assumed.Assumption is generous. Evidence is not.
Inspired by NASA’s Technology Readiness Levels. Not affiliated with or certified by NASA.
How the twelve months map to the levels
The five-level ladder tells you how mature and how safe your AI is. The twelve-month agenda tells you what we actually install. They are not two different frameworks, they are the two axes of one map. The agenda is the breadth: which areas of the business we wire AI into. The ladder is the depth: how far each area climbs, and how well it is governed. The programme takes all twelve areas up the ladder over a year, and the order is set by where you start, not by a fixed staircase.
from personal use to organisational evidence
Level by level to ARL 4 and 5
ARL 1 to 3 can begin with individuals. A person can explore AI, use it actively, and build repeatable workflows that others can reuse.
That is ARL 3: Installed.ARL 4 and 5 are different. They are organisational levels.A firm reaches ARL 4 when AI use is governed across the team: shared rules, approved tools, enforced boundaries, and evidence that people are using AI safely and consistently.A firm reaches ARL 5 when AI becomes strategic: part of how the business measures performance, improves decisions, and decides what to build next.That is why the programme moves beyond training. It installs capability in the team, then adds the controls, routines, and evidence needed for management to trust it.The goal is not for one person to become good at AI. The goal is for the organisation to know what is working, what is safe, and what is ready to scale.
Start with your own number
Find your own level in two minutes. Free.
No email wall, no sales call, no catch. Eight questions, two minutes, and you get your own AI readiness level and a clear next step. ARL 3 is the individual ceiling; the top two levels are team achievements.Most people come out a level or two below where they assumed they were. I think that gap is worth knowing, and worth showing to the person who can actually act on it. When you finish, you can send your result straight up to whoever runs the business, with the context already written for you.
See the whole team, not just yourself
The individual assessment gives one person their number. The organisational scan gives you the spread.It is free, and it only starts when the person who can make a decision asks for it. Your team each take the same two-minute read, and each person also says which seat they sit in: leader, manager, or contributor. We aggregate the results into one picture, and we score each function by its floor rather than its average. If three of four operators read a 2, the function is a 2, and a leader's self-scored 3 is recorded as the gap, not averaged away.That gap, sorted by role, is the finding. More often than not it reads the same way: leadership scores the business a level or two above the people actually doing the work. The point of the scan is not to mark anyone's homework. It is intelligence about your own business that you cannot get any other way, and you keep it whether or not we ever work together.
How it works
Five steps, and you can stop at any one of them still better off than you started.The score sets the route. It is not a fixed staircase everyone climbs from the bottom; where your team lands decides which step is the honest next one.
Step 1. Get your number. Two minutes, free. Your own readiness level, and a result you can pass upward.
Step2. Scan the team. Free, once a decision-maker asks. See the spread between the level leadership assumes and the level the team actually runs at.
Step 3. Win the first level. Take one real workflow and turn informal use into evidenced practice. For a team at ARL 1 or 2, that usually means reaching a properly installed ARL 3. For a team already claiming ARL 3, it proves whether the level holds and exposes what is capping it, usually control.
Step 4. Map the whole business.The AI Use Review shows where AI is being used, where client data is exposed, and what should be installed next.
Step 5. Make it stick. The programme installs AI properly, one area at a time, and the quarterly re-rating helps hold the level you reach.
The order is not fixed. A team at ARL 1 or 2 may bank a first level before the full review. A team already governed in parts may go review-first. The free call sets the route.
The AI Use Review
Most firms already have AI in use without anyone setting the rules, so the risk and the opportunity are both hard to see.The AI Use Review makes them visible.It is a focused half-day that turns scattered AI use into a costed plan you can evidence.
Map how AI is actually being used across your team, and on what.
Audit where client and confidential data is flowing into AI tools, and flag the exposures that matter.
Score your readiness, and show the gap between what people believe they are doing and what they can evidence.
Identify the two or three workflows where approved AI gives you the most back, fastest.
You Keep
A written exposure map.
A shortlist of approved, safe use cases to start with.
A costed, sequenced roadmap you can act on, with or without us.
Delivered by Rob, a certified AI Governance Practitioner under LOCS:23. Online by default, or in person for a premium.
Our guarantee: if you finish the review without a clear picture of where you stand and a plan you can act on, we refund it in full. The fee is credited against a 90-day sprint if you go on.
Your first level, in about two weeks
Sometimes the right next step is not a full programme. It is one real workflow, installed properly.The first-level sprint takes one practical use case and turns it into evidenced working practice: a clear workflow, written rules, reusable prompts or templates, and a result your team can repeat.For a team at ARL 1 or 2, that usually means reaching a properly installed ARL 3 in one focused area.
For a team already claiming ARL 3, it tests whether the level holds and shows what is capping progress, usually control.It is priced to the work, and it counts as a wedge against the full programme if you go on.You are not buying a description of your problem. You are banking a level.
What the programme installs
Implementation architecture
What the programme installs
The programme is not a course your team attends and forgets. It is an implementation architecture for getting AI into the business safely, one working area at a time.Each month focuses on a part of the business where AI can save time, improve consistency, reduce risk, or expose a gap that needs control.You leave each stage with something practical installed: a workflow, a rule, a template, a shared method, a decision process, or an evidence point management can rely on.The 12-month agenda gives the work breadth. It covers the areas where AI adoption usually breaks down: business context, finance, client communication, content, sales, operations, team adoption, security, governance, strategy, measurement, and maintenance.The ARL ladder gives the work depth. It shows how far each area has moved from informal use to installed, governed, and strategic practice.Together, they form one map: what to install, how mature it is, and what needs to happen next.
Twelve areas. Five levels. One operating system for safe AI adoption.
What runs every month
Each month gives your team a focused implementation layer: a live session, a written deep-dive, ready-to-deploy templates, and practical work that moves one part of the business up the ladder.
The curriculum installed
Twelve areas of your business over twelve months, from your first real workflow to finance, customer operations, sales, security, governance, measurement, and team-wide adoption.Each one leaves you with something running that was not running before.
The live layer
One monthly group session, run by practitioners who build and govern AI systems for a living. Live demos, real teardowns of your challenges, and direct questions answered.Practitioner access, not a webinar.
The specialists
Four sessions bring in domain specialists who use AI in their field every day: finance, sales, legal and compliance, and measurement.People with scars, not slides.
The governance starter pack
A templated internal AI policy, data boundaries, and controls your business can actually adopt, so the policy lives in the workflows rather than on a wall.This is the part that protects everything else.
Programme scope and price are tailored to your team size and set out in your AI Use Review. There is no standard sticker, because a forty-person firm and a three-hundred-person firm are not the same job.
Who is this for?
This is built for client-sensitive teams that already know AI matters, but need a safer and more consistent way to use it.
You lead a team of roughly 30 to 400 people and can authorise a business decision.
Your people are already using AI, and you want them doing it consistently and safely rather than freelancing.
You handle client, confidential, regulated, or sensitive data.
You want useful workflows, not generic tips.
You would rather bring in someone who governs AI for regulated businesses than someone who only talks about it.
This is not for you if:
You want it all built and run for you. This installs capability in your team; it is not done-for-you outsourcing.
Nobody at your business has touched AI yet. A little baseline use helps, because we move at pace.
You are after generic tips. We deal in specific, governed implementation.
You want a passive course rather than changed working practice.
Proof and the people
Who is behind it
The Practice Labs is led by people who work across AI governance, security, training, and hands-on implementation.
Rob is a certified AI Governance Practitioner under LOCS:23 and works on AI governance and data protection for regulated environments.
Steve brings enterprise training, enablement, commercial delivery, and operational experience across engineering, finance, and telecoms.
Together, they cover the two things most AI work needs and often separates: practical adoption and organisational control.
"Rob and Steve have totally changed the way I think about AI in business. I have come to learn that transformation happens when AI stops being a personal tool and starts becoming your company's operating system."
CEO, regional UK law firm"Would 100% recommend. The value offered here dwarfs the fee."
Mark Rothwell-Brooks, CEO, VerityX
Before you decide.
How does this work with procurement?
The AI Use Review is a simple £2,950 card payment through Stripe, which sits below most procurement thresholds and is easy to expense.
Is our data safe in this process?
That is the whole point of the business. We help you reduce AI data exposure, so we are careful with yours. The discovery looks at where data is flowing, and nothing sensitive needs to leave your control for us to do it. Governance is led by a certified AI Governance Practitioner.
What if we score at Level 1 or 2?
Most teams do, and it is not a failing. The tools arrived faster than anyone could govern them. Knowing your real level is the first useful thing that happens, because you cannot close a gap you have never measured.
We are not very technical, will we keep up?
This is built for business teams, not engineers. If your people can use email and a spreadsheet, they can implement what we cover. The technical depth sits with us.
Do you have to come on-site?
No. Everything runs online by default, which keeps it efficient and affordable. On-site days are available as a premium for teams that want hands-on, in-person delivery.
What does the discovery commit us to?
Nothing. It stands on its own and is useful whether or not you go further. If you do continue to the programme, the discovery has already done the groundwork.
Is there an individual option?
Yes. Start with the free assessment, it takes one person two minutes and gives you your own readiness level. From there, if you want to climb on your own, there is a guided £299 one-off that takes you to a self-certified ARL 3, the individual ceiling, and you finish holding a one-page proof you can show your team. Levels 4 and 5 need the whole team, so when you are ready for that the free review takes you there, and what you paid for the climb is credited against the team engagement. Teams, meanwhile, use that same individual result as the thing they forward to whoever makes the call.
Stop hoping. Start with your number.
Final call to action
Your team is using AI whether you have a plan for it or not.The question is whether anyone can name the level you are operating at, what is exposed, and what it would take to move up safely.Start with your own number. It takes two minutes and costs nothing.If the result belongs upstairs, send it up. The people who can act on it should see it too.If you are ready to map the whole team, book the AI Use Review.
Take the free assessment first
Secured via Stripe. Limited review slots each month
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