Make Claude work across your organisation.

Already using Claude, or introducing it alongside Microsoft Copilot? We help you define clear guardrails, choose valuable use cases and build the skills your teams need – from the first decisions to everyday adoption.

Advisory Governance Use cases Enablement
17,000+ people trained
150+ clients
Since 2019 AI enablement

You have access to Claude. What makes it useful at work?

The important decisions involve business teams, IT, data protection and leadership working together.

01

Claude or Copilot – for what?

Teams can use both tools, but lack shared guidance on tasks and data.

How we help: We define suitable tasks, approvals and ownership for each tool.
02

A few power users, limited adoption

Early users are enthusiastic; the wider team struggles to connect the tool to real work.

How we help: We use role-specific exercises, concrete examples and internal champions.
03

Unclear data and connections

Documents, projects, shared content and connections to other systems raise questions.

How we help: We clarify rules and review paths with IT, data protection and business teams.
04

A pilot without a decision

Ideas are tested, but value, quality and accountability remain hard to assess.

How we help: We select a few use cases, agree success measures and then decide what to scale.

Start with the decision that matters now.

Bring us in as a sparring partner for a specific question or work with us across rollout and enablement.

01 / Orientation

Claude advisory & roadmap

We review your starting point, goals, user groups, guardrails and Claude's place in your existing AI landscape.

Outcome: prioritised decisions and a practical next step.
02 / Practice

Pilot & workflows

We choose real tasks, test them with a team and review quality, effort and accountability.

Outcome: tested use cases and evidence for a wider rollout.
03 / People

Enablement & adoption

We help employees, leaders and internal champions apply Claude to the work they actually do.

Outcome: more confident and repeatable use across teams.

Two licences need one shared approach.

When both tools are in use, we clarify where each fits, which data is approved and who owns the decisions – without a blanket preference for either one.

Explore our Copilot advisory →
Which tasks belong in which tool, and why?
Which content, access rights and connections are approved?
Who maintains guidance, templates and internal support?
How do we assess value and avoid duplicated effort?

From safe use to better ways of working.

A complete track covers the essentials, practical application, deeper workflows and adoption across the organisation. We tailor the specific priorities to roles, existing licences and approved capabilities.

01

Start safely

Ask better questions, check results and handle confidential information appropriately.

02

Apply it to real work

Work with relevant tasks in research, documents, analysis and communication.

03

Develop workflows

Create repeatable projects and skills; assess Cowork or Claude Code where roles and approvals allow.

04

Embed it in teams

Enable champions and leaders, share good practice and review impact.

These four themes suggest a possible structure. We agree the exact content and scope with you.

How we have tackled similar challenges with clients.

These examples show our work on AI adoption, use cases and enablement – themes that matter when introducing Claude, too.

Sensitive environment

Beyond Gravity

In a setting with sensitive technical data, we connected people-focused enablement with practical AI use cases and business value.

View references →
Company-wide enablement

Webcraft

A programme for people with different levels of experience used practical exercises and GPT assistants to make AI less daunting in everyday work.

View references →
From strategy to use cases

Bank Frick

Strategic AI exploration was translated into concrete use cases and a stronger foundation for future innovation.

View references →
AI Engineering course

AXA

AXA highlighted hands-on work on agent-based team workflows, structured patterns and guardrails applied to real use cases.

“The AI Engineering training was extremely hands-on.”

Head P&C Product / Applications · AXA

View course and testimonial →

These examples come from our wider AI work and are not presented as purely Claude projects. Individual projects differ in scope and technology.

Questions before you begin.

Can we use Claude alongside Microsoft Copilot?

Yes. The key is to define where each tool fits, which data is approved, who owns decisions and how employees can get clear guidance. We work through these questions with you.

Do we need a particular Claude plan to start?

That depends on your users, administrative needs, security requirements and planned connections. We review the requirements before recommending a setup or wider rollout.

How will we know whether it works?

Before a pilot, we choose a few useful measures such as adoption, output quality, time spent and improvement in a specific workflow. The observations then inform your decision to scale.

Let's make your Claude questions concrete.

Whether you already have licences, use two tools side by side or plan the enablement track, we can discuss your situation and a practical next step.

Request a Claude conversation