Start before “how do we use AI”

Readiness resources for London's SMBs

A large share of the businesses walking through our door don't yet have basic data management or analytics practices in place. Jumping straight to tools without that foundation is exactly the kind of hype-driven mistake we exist to prevent. Start here.

The 4 readiness pillars

Answer these before you buy a single AI tool.

Pillar 1

Is your data AI-ready?

Governance, quality, and access basics — before a model ever touches it.

Pillar 2

Model & tool readiness

Does the tool actually fit the problem, or the hype cycle?

Pillar 3

Enterprise integration readiness

Where it plugs into workflows your team already trusts — and where it doesn't yet.

Pillar 4

Risk, compliance & control readiness

Who's accountable when it's wrong, and what guardrails catch it first.

Free download

The AI-Readiness Self-Assessment

A one-page, plain-language checklist across all four pillars. Fill it out before you talk to any vendor — it'll tell you which conversations to have first, and which questions to ask when you do.

  • 15 minutes, no technical background required
  • Built from the same 4 pillars our sessions are structured around
  • No email wall — we'll email you a copy if you want one

Get the checklist

Enter your email and we'll send the PDF, plus a heads-up when new resources land.

Explore by topic

Resource library

Shadow AI & data privacy

What to do about employees pasting proprietary client data into public LLMs — a plain-language starter policy.

Read the guide

Vertical playbooks

AI for manufacturing, professional services, and retail — automate the workflow, not the workforce.

Browse playbooks

Local expert directory

Vetted London MSPs, legal counsel, and consultants — the people we'd actually recommend.

See the ecosystem
Common questions

FAQ