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01

My team shrank. My workload did not.

I'm looking at AI to close the gap; I just need to know where it's safe to use, and where it isn't.

You might be feeling…

  • I'd rather buy than wait 6 months for engineering to build
  • I'm doing the work of three people and it's not going back
  • I'm using AI to do work I used to delegate — is it good enough?
  • I'd pay for a tool tomorrow if I knew which one

What I can help with

  • What to buy, what to build, what to leave alone
  • Working out which of your recurring tasks AI handles easily
  • A personal toolkit you can run without IT approval
  • Spotting the reputational landmines before you step on them

A manager whose team had shrunk. She was writing marketing copy herself, late at night, with AI.

The work was getting done. She knew AI-written copy wasn't ideal on a brand site — but the pressure to hit targets was louder than that instinct, and she was pasting drafts straight out of a free AI tool onto the site anyway. That can signal "AI-written content" to Google, which carries real SEO and reputational risk for an established brand. She needed a better way of working, not a lecture.

We kept the speed, moved her to tools that don't leave that fingerprint, and gave her a one-page rule of thumb for what's safe to publish.

Best next step

Start with the £75 Primer. 30 minutes to sort safe from risky before you buy anything. See the Primer →


02

CEO said use AI. I'm winging it.

I've got a team and a mandate. Now I need a plan that isn't a vendor demo.

You might be feeling…

  • I was given a remit without a map
  • My team's waiting for direction, I'm searching for AI's North
  • Vendor demos look great but don't survive real process
  • I need to show the CEO something real this quarter

What I can help with

  • Winnowing down to 3–5 things worth doing, instead of 20
  • Workflows where the handoff between human and AI is clean
  • Team-safe prompts so your people aren't inventing their own
  • Not another sales deck: something concrete for the CEO

Two managers, pointed at AI by the CEO with no guardrails. Neither knew where to begin.

We used Claude Code to pull several messy spreadsheets together — ones that didn't match up neatly — and turned them into something their buyers could actually use. It saved them hours every week. Another manager was about to lose a colleague who'd walk out with years of sales knowledge; we used Google NotebookLM to build a searchable knowledge bank of her decks before she left.

Two pieces of work their CEO could see inside a month, and a team that now knows which tool to reach for when.

Best next step

Book a Starter Audit. One hour to map your 3–5 biggest time drains, then an Agent Skills Build to make them go away. See the Audit →


03

I'm presenting to the board tomorrow.

The stakes of a wrong AI answer are reputational, regulatory, or both. What's safe to put in my slide deck?

You might be feeling…

  • I can't afford to look naive, or to be wrong
  • My directorate's watching how I handle this
  • Could the data I'm pasting in affect our share price?
  • I'm accountable for what comes out, whether I wrote it or not

What I can help with

  • Clear data provenance before the board deck gets sent
  • Agent Skills to sense-check board data sources
  • Clean talking points on AI you can relay to your exec team
  • Skills tuned for directorate-level work, not entry-level demos

A director preparing a board paper that drew on internal financial figures: some of which could move the share price.

She had the draft she needed, but she didn't have the confidence that the workflow behind it was safe. Could pasting that into a consumer AI tool constitute a leak? What about a share-price-sensitive number in a prompt? Valid questions. Most vendors won't answer them straight.

We mapped what data could go where, moved the sensitive work onto an enterprise-grade tool with the right settings, and gave her a two-line rule she could give any director who asks.

Best next step

Book the Primer, or go straight to an Agent Skills Build. If you've already done the thinking, we can skip orientation and build. See the Skills Build →

The conversations I'd point elsewhere.

A short, honest list. If you're in one of these rooms, someone else is the better call — and I'll usually know who.

IT & software engineering

If you need infrastructure advice, model fine-tuning, or production-grade integrations with your internal systems, your engineering team is the right call. I'll happily brief them on what the business wants, but I don't pretend to be them.

AI policy drafting

If you want someone to write your company's AI policy from scratch, I work inside policies, I don't author them. Legal, HR, and compliance colleagues are better placed to draft one — I can help your team work out what to ask for.

Enterprise-wide transformation

If you're after an org-wide AI rollout with a six-month roadmap, a project office, and a 200-person change programme, there are specialists for that; it's a different shape of engagement. I work best one person at a time.

Not sure which of the three is you?

Most conversations start with "I'm not sure where to begin." Book a free 30-minute chat. No pitch, no obligation. If I don't think I can help, I'll say so — and usually tell you who could.