AI Enablement
Most organizations now have more than one AI assistant in use: Microsoft 365 Copilot, ChatGPT, Claude, Gemini, often all at once. We help you choose what fits, prepare the data and the rules, prove value with a pilot group, then take the assistants and purpose-built agents into each function in turn, starting with the use cases that function cares about most. We do not resell any of them.
Enterprise AI
Why leadership teams bring this to us
Licences are bought for everyone at once, so usage spikes and then fades. Nobody checked what the assistant can see in SharePoint, OneDrive or Google Drive, teams paste confidential material into personal accounts, nobody owns adoption in the business, and each function is left to find its own use cases. Value is claimed but never measured.
What the service covers
Platform choice
Microsoft 365 Copilot, ChatGPT, Claude, Gemini and others compared on your data, security, integration and cost. Often the answer is more than one, each for the work it does best.
Readiness
Licences, identity and access reviewed, and oversharing in SharePoint, OneDrive, Teams and Google Drive found and fixed before an assistant can surface it.
Data protection and governance
Usage policy, admin controls, data retention and data-loss rules for each platform, with clear rules on what assistants and agents may use.
Pilot and baseline
A champion group from each function, the current effort for target tasks measured first, and success criteria agreed before rollout.
Function-by-function adoption
Assistants taken into one function at a time, with role-based training, prompts and workflows written for that function's real work.
Agents and custom assistants
Copilot Studio agents, custom GPTs, Claude projects and Gemini Gems for the repeat work in each function, grounded in your documents and connected to SAP and other systems where needed.
How we deliver it
- 01
Choose and prepare
Platforms chosen, then licences, access, data exposure and policies fixed. Gate: the tenant and data are ready.
- 02
Pilot
A champion group uses the assistants on measured tasks. Gate: the pilot meets the agreed success criteria.
- 03
Adopt by function
Each function gets its own use cases, training and prompts, one function at a time.
- 04
Build agents
Agents and custom assistants are built and tested for the use cases that need more than chat.
- 05
Measure and expand
Usage and time saved are reviewed with the function lead and the next function is planned.
Use cases, function by function
A typical order of adoption. We agree the sequence with you, starting where the value is clearest and the data is ready.
- 01
IT and service desk
- Ticket triage and suggested answers
- Knowledge assistant over IT procedures
- Access request agent in Teams or Slack
- 02
HR
- Policy Q&A assistant over the HR handbook
- Job descriptions and interview guides
- Onboarding checklists and answers
- 03
Finance
- Variance commentary from spreadsheets
- Month-end close checklist agent
- Invoice and payment status from SAP
- 04
Sales and marketing
- Meeting recaps and follow-up emails
- Proposal drafts from approved templates
- Account briefings before customer calls
- 05
Procurement and supply chain
- Purchase order status agent over SAP
- Supplier questions answered from policy
- Contract clause summaries
- 06
Operations
- SOP assistant on the shop floor or in the field
- Shift handover summaries
- Incident report drafting
- 07
Legal and compliance
- Contract review summaries for a lawyer to check
- Policy comparisons across versions
- Regulatory update briefings
What you should expect to change
Safe from day one
Assistants only see what each person is meant to see, and company data stays in company accounts.
The right tool for each job
Platform choices follow your work and data, not a vendor's bundle.
Use cases owned by the business
Every function has its own use cases and a lead accountable for them.
Value you can show
Time saved and usage are measured against the pilot baseline, function by function.
What you receive, and where it is used
Deliverables
- Platform comparison and recommendation
- Readiness and data-exposure assessment
- AI usage policy and admin configuration plan
- Pilot plan with baselines and success criteria
- Use-case catalogue for each function
- Agents and custom assistants for priority use cases
- Adoption and value report by function
Typical situations
- Copilot or ChatGPT licences bought but usage falling after launch
- Choosing between Microsoft Copilot, ChatGPT, Claude and Gemini, or deciding how to run more than one
- Building the first agents and custom assistants for HR, finance or IT
Talk to us about AI Enablement
Send a short description of the decision or program in front of you. A senior advisor from this practice will reply within two business days.