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Geeks & NomadsAI for Businesses

Service 04 · 1–2 weeks

AI Consulting & Enablement

Where AI pays in your business — costed, sequenced, governed, and taught to your team.

The problem it solves

“We have bought AI tools and cannot show what they returned.”

Why it persists

Most AI inside a business sits beside the workflow rather than in it, has no named owner, and quietly degrades while the licences renew. Meanwhile the genuinely valuable use cases go unbuilt because nobody has costed them against the alternatives.

EVERY CANDIDATE SCORED, INCLUDING THE ONES WE KILLFEASIBILITYVALUEBUILD FIRSTEnquiry responseInvoice extractionSupport deflectionForecastingMeeting summariesContent generation at scaleBuild firstNot yet — revisit at scaleWe recommend againstThe honest list is the part worth paying for. It is the part most firms leave out.

Capabilities

What sits inside this practice.

Named individually, so you can scope, budget and buy them separately if that is what your situation calls for.

01

AI readiness and data assessment

What your data, tooling and team can actually support today, and what would have to change first.

02

Use-case identification and ROI modelling

Every candidate scored on value, feasibility, risk and adoption, with a costed model per case — including the ones we recommend against.

03

AI licence and adoption audit

What you already pay for — Copilot, Gemini for Workspace, Einstein, Zia — and why adoption is where it is. Usually the cheapest win available.

04

AI governance, policy and risk

Usage policy, data handling, PII controls, model risk register and human-oversight design, written for your risk function to review properly.

05

Architecture and build-vs-buy review

Model selection, hosting, residency and cost architecture — and an honest answer on what you should buy off the shelf instead of building.

06

Role-based team training

Hands-on sessions built on your own workflows, plus an internal champion programme so the capability stays in-house.

What lands

Fixed scope, agreed up front.

Timeline

1–2 weeks

Who signs off

CTO · COO · Head of Transformation · CMO

Best for

Organisations with AI spend, low adoption, and a board asking what it returned.

  • A scored, costed use-case backlog with an ROI model per case
  • A clear list of what we recommend you do not build
  • Governance pack: policy, risk register, audit trail
  • A reference architecture and build-vs-buy call per case
  • A 90-day sequenced roadmap

What changes

A defensible plan for where AI pays — and the team capable of using what gets built.

The number that moves

Adoption rate · licence utilisation · hours returned per week · cost per transaction

We baseline this before we start, so there is something to judge us against later. If it does not move, that is a conversation we will start rather than avoid.

Not sure this is the one you need?

That is what the free diagnostic is for. We look at how your business actually runs and tell you which of the six would move your numbers — and which we would leave alone.