AI & Automation Readiness

Most AI pilots never pay off. Yours will.

A leadership-first programme for measurable AI adoption. Not another tools demo: alignment, governance and reusable workflows that turn licences into return.

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95%
of enterprise GenAI pilots fail to deliver measurable ROI
MIT Project NANDA · The GenAI Divide: State of AI in Business 2025
We specialise in training teams onGoogle AI (Gemini)Anthropic ClaudeMicrosoft Copilot
Why AI implementations fail

It is never the tool. It is the operating model.

01

Teams experiment in different directions

02

Licences bought before usage principles are clear

03

Prompt quality varies by person

04

Valuable workflows stay trapped in individual habits

05

Governance and ownership added too late

The result is predictable: more AI activity, but limited visibility, inconsistent quality and uneven ROI. Adoption has to start at the top, because leadership decides the operating model.
The implementation stack

AI ROI needs all five layers.

Most organisations skip at least three of them.

01

Leadership alignment

What are we trying to achieve, who owns AI adoption, and what is the operating model?

02

Governance & security

What can be used, where, by whom and with which data. Approval and accountability.

03

Shared ways of working

Prompt libraries, projects, skills, guides, templates and workflow standards.

04

Department rollout

Use cases embedded into finance, marketing, operations, HR, sales and supply chain.

05

Measured ROI

Licence adoption, time saved, workflow quality and reduced duplication.

AI ROI comes from shared adoption, governed workflows and reusable systems. Not from buying better tools.

Recommended first step

C-suite AI & Automation Readiness

A tailored leadership session that builds the first layer of the stack: a shared view of AI adoption before your teams scale further use. The goal is to move beyond individual experimentation and lay the foundations for company-level capability.

Book a readiness call
01
A shared leadership baselineWhere AI is useful, where it is misunderstood, and where adoption is uneven today.
02
A clearer view of tool valueWhat the business is paying for, and where each capability can create measurable return.
03
Governance and security principlesData boundaries, approval, ownership, accountability and safe usage.
04
A reusable adoption systemPrompt libraries, projects, skills, guides and templates that stop useful work staying siloed.
05
A department rollout pathDepartment-level projects and skills, prioritising the automations with the highest ROI.
In the room this month
Claude training for a 15-executive C-suite at a cryptocurrency firm: security posture, governance and hands-on use cases in a regulated industry.
July 2026 · Executive session · Measured results published after delivery
How it is delivered

Training that ends in working systems.

90% practical, 10% theory, all on examples from your business. Every session produces assets your team keeps.

STAGE 01

Foundation day

One shared day for your leadership team: safe usage, effective prompting, reusable projects and skills, live dashboards and automated routines. Everyone leaves with working assets built on the day.

STAGE 02

1:1 workflow labs

Three-hour build sessions per leader. We map one to three of their real workflows and build the automation or AI assist live: tested, iterated and documented.

STAGE 03

Office hours

Bookable support after delivery for real blockers: fine-tuning outputs, extending workflows, and deciding what to automate next.

30 / 60 / 90

Adoption is measured against a baseline at 30, 60 and 90 days. If targets are missed at any checkpoint, we add support at no charge until they are met.

Facilitators certified by Microsoft CopilotGoogle AIAnthropicBuilt on Amazon operations experience
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Be in the 5% that gets measurable value.

A 30-minute call is enough to scope the right readiness programme for your leadership team. No pitch deck, no obligation.

Book a readiness call