AI adoption and implementation

AI adoption programme for UK teams

Move from scattered experiments to approved tools, role-specific workflows, confident people and a measured 30 to 90-day plan.

Discuss your requirementSee what is included
Working method

A 30 to 90-day route to responsible adoption

Align the decisions, prepare the team, pilot a small number of workflows and use evidence to decide what deserves wider adoption. 01 Align 02 Prepare 03 Pilot 04 Adopt evidence review
Align the decisions, prepare the team, pilot a small number of workflows and use evidence to decide what deserves wider adoption.
Jon Goodey in conversation during a practical team workshop
Founder-led and grounded in the room

The questions people actually ask shape the session.

Jon works directly with the team, using its roles, documents and live challenges to make the material useful beyond the workshop.

The aim is not tool excitement. It is a shared method people can repeat, review and improve once they are back at work.

Built around real work

A useful programme, not a generic tool tour

The exact examples change by team, but the programme is grounded in the following practical areas.

01

Leadership alignment

Agree the business outcomes, risk appetite, ownership and the decisions that cannot be delegated to a tool.

02

Approved tools and data rules

Document which accounts, models and integrations are approved, what data can be used and where human review is compulsory.

03

Role-based workflows

Select a small number of repeated tasks and design usable methods around the people who perform and review them.

04

AI Champions

Equip internal champions to support colleagues, collect questions and keep practice aligned with the agreed controls.

05

Templates and documentation

Create prompt patterns, checklists, examples and operating notes that survive beyond the initial sessions.

06

Adoption measurement

Track active use, output quality, time saved, issues raised and where the workflow needs to change.

How the engagement works

  1. 1

    Diagnose the starting point

    Review current use, team confidence, data sensitivity, repeated work and the tools already available.

  2. 2

    Plan the first 30 days

    Choose the smallest useful set of roles and workflows, then define owners, controls and success measures.

  3. 3

    Practise and pilot

    Run role-specific sessions and test the chosen workflows with real material and named reviewers.

  4. 4

    Embed over 60 to 90 days

    Support champions, improve the documentation and decide what should scale, stop or move into a separate implementation.

What you take away

  • AI adoption diagnostic and prioritised use-case register
  • Approved-tool, data and human-review decisions
  • Role-based workshop and workflow plan
  • AI Champions responsibilities and support route
  • Reusable templates, checklists and operating notes
  • 30, 60 and 90-day adoption roadmap
  • Simple adoption and quality scorecard

Read before you decide

Build the governance around adoption

Use the practical framework to define roles, data rules, tool approval, human review and escalation.

Read the practical guide

Need ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.

Questions teams ask

What is an AI adoption programme?

An AI adoption programme connects leadership decisions, governance, role-specific training, working processes and follow-up. Its purpose is to turn isolated experimentation into controlled, repeatable use that the organisation can review and improve.

How is this different from a one-day AI workshop?

A workshop builds understanding and confidence. The adoption programme adds prioritisation, owners, workflow design, internal champions, documentation and follow-up over 30 to 90 days.

Do we need an AI policy first?

Not necessarily. The programme can help translate existing security, data and conduct policies into practical AI decisions. Where a fuller policy is required, the first phase defines the decisions it needs to cover.

What does an AI implementation consultant do in the programme?

The consultant helps select viable use cases, designs the workflow and controls, supports pilots, documents what works and helps the organisation decide what is ready to scale.

Can the programme include technical implementation?

Yes. A focused automation, internal tool or system integration can be included or scoped as a separate implementation. It is only added when the workflow, access and review requirements are clear.

How much does an AI adoption programme cost?

The investment depends on team size, number of roles, governance needs and whether implementation is included. Indexify scopes the smallest credible programme after a focused diagnostic rather than applying a generic per-seat price.

Turn useful experiments into adopted work.

Tell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.

Start the conversation