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Solution 07

AI Training & Adoption

Help your team use AI confidently without creating a data, quality or governance mess.

Cerebro trains teams on practical AI use inside the work they already do. People learn what AI is useful for, how to write and review better instructions, what information they should not share, when a human must check the result, and how to turn individual experiments into repeatable business workflows.

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SYSTEM BRIEF

AI adoption built around real work, clear boundaries and repeatable habits instead of one-off demonstrations.

Cerebro helps teams move from experimenting with AI individually to using it consistently and responsibly. Training is tied to actual roles, approved tools, real workflows and the checks needed before AI-generated work becomes business work.

External research below describes broader workplace adoption. Training outcomes depend on participation, management support, approved tools and the organisation's governance decisions.

01 / System view

What people learn

Practical prompting, context, verification, privacy, limitations and where AI is actually useful in their role.

02 / System view

How it becomes repeatable

Approved examples, playbooks and workflows turn individual experiments into a shared way of working.

03 / System view

How it stays controlled

Tool rules, data boundaries, human review and ongoing guidance make adoption safer and easier to govern.

75%AI is already part of everyday knowledge workMicrosoft and LinkedIn found 75% of knowledge workers were using AI at work in their 2024 Work Trend Index.
78%Employees are bringing their own AI toolsThe same research found 78% of AI users were bringing their own AI tools to work.
79%Leaders see adoption as competitiveMicrosoft found 79% of leaders agreed their company needed to adopt AI to stay competitive.
60%Many organisations still lack a clear planMicrosoft found 60% of leaders worried their organisation lacked a vision and plan for implementing AI.

FOUNDING CLIENT PACKAGES

Ongoing operation, managed by Cerebro.

Introductory Cerebro pricingFounding-client rates designed to make a first implementation accessible without presenting the work as low-value.

Final scope is confirmed before payment. Prices exclude VAT where applicable and do not conceal external hosting, telephony, software or model-usage costs.

A managed monthly service. Cerebro monitors the system, resolves agreed faults, maintains integrations, updates knowledge or logic and continually refines the workflow. Third-party software and usage are included only where stated; otherwise they remain transparent and separately approved.
Organisation-wide support

AI Adoption Partner

£399/ month
Consult first. Commit second.

The price above is a typical monthly rate for this managed solution, not an immediate charge. Select it to start a private consultation. Cerebro will review your requirements, respond within 1 working day with the proposed scope and costs, and arrange a discovery meeting where needed before you decide whether to proceed.

Cerebro helps your organisation turn everyday AI use into a safer, more consistent way of working through training, practical workflows, governance and ongoing support.

  • Role-based workshops using realistic tasks from the teams actually adopting AI
  • Practical prompting, context and output-review methods that staff can reuse in day-to-day work
  • Clear guidance on approved tools, sensitive data, human review and responsible AI use
  • Reusable playbooks, onboarding materials and support for internal AI champions or new starters
  • Monthly adoption review, governance updates and priority advisory support for agreed questions

These are introductory package prices for clearly defined scopes. More complex requirements remain available through a private consultation and are quoted before any commitment.

HOW THE SOLUTION WORKS

The important information, arranged in one view.

See the sequence, practical capabilities and control points without moving through several repetitive sections.

01 / Operating model

From signal to completed action.

01
AssessWe identify the roles, tasks, tools and risks that matter to the team instead of delivering generic AI training.
02
TeachPeople learn the practical basics: prompting, context, verification, privacy, limitations and responsible use.
03
ApplyThe team practises on realistic workflows from its own work and builds reusable examples, prompts and review habits.
04
Govern + improveClear rules, approved tools, onboarding materials and ongoing support help good use continue after the workshop.
02 / What it enables

Practical capability.

01Business-first training

Sessions are built around the tasks your team actually performs rather than generic demonstrations.

02Prompt + review skills

People learn how to give AI better context, check its output and recognise when an answer should not be trusted.

03Governance awareness

Teams understand what data can be used, which tools are approved and which decisions must stay human.

04Role-specific playbooks

Reusable examples and workflows can be created for sales, service, operations, leadership or other agreed roles.

05Champion networks

Selected internal users can receive deeper support so knowledge does not disappear after one training session.

06Measured adoption

Usage, recurring questions and practical use cases can be reviewed to see where training or policy needs to improve.

03 / Control

Visible boundaries.

Approved tools

Training is aligned to the AI products and accounts the organisation has actually approved.

Data boundaries

People are taught what information must not be entered into external AI tools and how to handle sensitive material.

Human review

Important outputs are checked by the responsible person before they become decisions, promises or published work.

Ongoing governance

Policies, examples and guidance can be updated as tools, risks and business use cases change.

Build the system around the work that matters.

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