01 /AI consultancy · UK

Most teams use AI as a tool. The good ones run it as a workflow.

A tool gives you a good answer when the right person is typing. A workflow gives you expert-grade work every time, because the checking is built in rather than hoped for. We train your people, set up the tools, and build the verified workflow around them.

Training Tool Setup Verified Workflows Vendor-Neutral

fig. 01 · the operating loop behind every engagement

·Why skill decides quality

Your experts might be your biggest risk.

Two things decide whether AI work is trustworthy: how well you know the subject, and how well you know the way AI fails. They're different skills, and most teams have only ever trained one.

Axis 01 · Domain knowledge

Is the substance right?

Can you tell whether the claim holds, the number is right, the framing is sound?

Axis 02 · AI-failure literacy

Is the AI fooling you?

Can you spot a hallucinated citation or fluent-but-wrong reasoning? A separate skill, rarely trained.

The blind spot

The fooled expert

Knows the field, gets talked into a plausible draft, misses the fabricated source. The least-aware risk.

02 /What we do

Train. Set up. Then automate.

Three things, done properly, with a verified workflow as the spine that connects them. We teach your team to use the tools they already pay for, configure them so good habits stick, and only then automate the work that repeats.

01 · Train

Hands-on AI training

Practical workshops for your team and plain-English briefings for leadership. No hype decks. People leave using the tools on their own work.

  • Team workshops on ChatGPT, Claude, Copilot & coding agents
  • Prompting, context, and review habits that stick
  • Leadership briefings: what is real, what is risk
02 · Set up

Tool setup that sticks

We configure your AI tools properly, with shared conventions, project context, and sensible permissions, so everyone starts from the same baseline.

  • Cursor, Claude Code & agent setup for developers
  • Reusable prompts, skills, and team playbooks
  • Data boundaries and safe-usage rules
03 · Automate

Automation where it pays

Once the basics work, we build scoped automations for the tasks that repeat, like research, reporting, content, and operations, always with a human in control.

  • Fixed-scope prototypes for one clear workflow
  • Automatic checks on every AI output
  • Honest advice when automation is not worth it

Curious what these look like in practice? See example workflows →

03 /What changes

A tool is only as good as the person typing.

Used as a tool, AI quality rides on the unmeasured skill of whoever is at the keyboard. Nothing is repeatable, checkable, or owned. Used as a workflow, the work moves through a defined sequence, and your team's expertise goes where it now counts: not on making the first draft, but on tearing it apart.

 
AI as a tool
AI as a verified workflow
Output
Good only when a skilled person drives it.
Expert-grade by default. The checking is built in.
Repeatability
One-off chats nobody can reproduce.
A defined sequence anyone can run and audit.
Quality
Depends on someone’s good day.
A property of the system, not the individual.
Ownership
Lives on one person’s laptop.
Owned, documented, and improvable.

04 /How it works

Frame, generate, verify, govern.

Everything we build runs on one loop. The value and the safety live in the first step and the last one. Skip them and you just make mistakes faster.

  1. Step 01

    Frame

    Someone sets the question, the sources of truth, and what good looks like. Before a single word is generated.

  2. Step 02

    Generate

    AI drafts at speed. It’s a first pass, not a finished product, so nobody trusts it yet.

  3. Step 03

    Verify

    Pull it apart. Experts challenge every claim; automatic checks confirm the citations, the numbers, the code.

  4. Step 04

    Govern

    A named person signs it off, with the evidence attached. No anonymous work ships.

The short version: AI suggests. Code verifies. Humans approve.

05 /How we stabilise quality

When an expert isn't in the room, the system supplies one.

For your common work we build a set of touchstones: our name for the independent references an output gets measured against, from source-of-truth checks to worked examples of what good and bad look like. Confidence comes from agreement with a known reference, not from a confident tone. A good reference helps your least-experienced reviewer most, which is how a newcomer and a principal can ship to the same bar. We keep them current. The working detail is what we build and tailor to you.

06 /How an engagement runs

Three steps, no surprises.

Automation comes last for a reason: once a workflow is proven, automating it just wires it to run with less effort. Reach for it before the workflow exists and you scale the mess.

  1. Step 01

    Free discovery call

    30 minutes. You bring a team, a tool, or a workflow question. We tell you honestly what is worth doing, including nothing.

  2. Step 02

    Workshop or setup sprint

    We train your people on real work and configure the tools so good habits survive the week after we leave.

  3. Step 03

    Automate where it pays

    For workflows that repeat, we scope a fixed-price automation, with checks on every output and a human approving the result.

07 /The maths

The tool is only as good as the workflow around it.

Used well, AI lifts the floor of your team's work more than the ceiling, and the biggest gains go to the people who were furthest behind. Used carelessly, it adds confident errors faster than anyone can catch them. Training, setup, and verified workflows decide which one you get. Put your own numbers in and see.

Run the numbers →

08 /We know the research

We don't guess. We read the research.

Our method is built on published work: human and AI collaboration, the economics of verification, the cost of over-reliance, and the measurement of AI behaviour. We keep up with it, and we show our working, caveats included.

Every claim paired with its evidence and its caveats. Read the evidence base →

09 /Pricing

Three offers. No surprises.

Every engagement starts with a free 30-minute discovery call. Fixed prices wherever the scope is fixed.

Fixed price

Team Workshop

Hands-on AI training for your team, on your real work. Covers the tools you already have, prompting, context, and review habits.

  • Half-day or full-day, on-site or remote
  • Tailored to your tools and your workflows
  • Take-away playbook your team keeps

From £1,500 Half-day £1,500 · full-day £2,500

Book a free call →
Monthly

Ongoing Partner

Keep the momentum after the sprint: priority support, tuning, refresher sessions, and small new automations each month.

  • Rolling monthly, 30 days’ notice
  • Set block of hours, used how you need
  • Fractional AI-lead option for bigger teams

From £1,000 / mo Embedded fractional AI lead from £3,500 / mo

Book a free call →

Need something else? Workflow audits run £900–£1,500, leadership briefings from £2,000, and bespoke automation builds from £5,000, all scoped on the free call. Prices in GBP excluding VAT. Hosting and API costs are passed through transparently.

10 /How we work

Built for practical UK adoption.

  • Vendor-neutral: we recommend tools, we don’t resell them.
  • Training starts with your real work, not hype decks.
  • Risk and governance explained in plain English.
  • Automation only where the workflow is repeatable and owned.
  • We will tell you when the answer is “do nothing”.

11 /FAQ

Fair questions.

The short version: you don’t need to be technical, you don’t need to have bought anything yet, and the first call costs nothing.

Do we need to be a technical team?

No. We train developers on coding agents like Cursor and Claude Code, but just as often we work with marketing, operations, finance, and leadership teams on ChatGPT, Claude, and Copilot. The workshop is built around your actual work.

We haven’t bought any AI tools yet. Too early?

That is the best time to talk. We are vendor-neutral, so we will help you choose the right tools before you spend, and tell you which subscriptions to skip.

What about our data and security?

Part of every setup is agreeing data boundaries: what can go into which tool, on which plan, and what never leaves your systems. We explain the risks in plain English and write the rules down so the team can follow them.

Will AI just make things up?

Left alone, sometimes. That is why everything we set up follows one loop: AI suggests, code verifies, humans approve. Automatic checks catch errors, and a person signs off before anything ships.

Where do you work?

We are UK-based. Workshops run on-site or remote; setup sprints and automation builds are fully remote-friendly. International engagements are quoted to suit.

12 /Contact

Bring a workflow worth fixing.

Tell us the work you most want to stop doing by hand, or just the tool you suspect your team isn’t getting value from. We reply within one working day.

Prefer email? Use sales@aielabs.co.uk.

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