In practice
Small pieces of work.
A meaningful difference.
Here are four ways a useful workflow could take shape. Each starts with a recognisable task and leaves the important judgement with your team.
01 / Customer conversations
From “Can you help?”
to a useful enquiry.
Your team keeps answering the same first questions before it can understand what someone actually needs.
- 01
The starting point
A visitor asks about a service.
- 02
The AI contribution
Find relevant approved information and ask the useful follow-up questions.
- 03
The useful output
A concise enquiry summary with requirements and contact details.
- 04
The human decision
Your team confirms the fit, price and next steps.
One service, one approved information source and a small set of common enquiries.
02 / Team knowledge
Find the answer.
Know where it came from.
A colleague needs guidance, but finding the right document takes longer than the question itself.
- 01
The starting point
A team member asks how a process works.
- 02
The AI contribution
Search the agreed guidance and identify the relevant information.
- 03
The useful output
A concise answer with a reference to the source, or a clear gap to resolve.
- 04
The human decision
The responsible colleague handles anything unclear or outside the guidance.
One maintained knowledge source, a small user group and three priority questions.
03 / Everyday operations
Spend less time
on the first draft.
The same details have to be gathered and rewritten every time somebody prepares a handover or update.
- 01
The starting point
A colleague provides the agreed notes or source material.
- 02
The AI contribution
Organise key details, identify missing information and prepare a draft.
- 03
The useful output
A structured handover or briefing that is ready for review.
- 04
The human decision
A person checks, approves and decides where the final version goes.
One document type, a consistent source format and a named reviewer.
04 / Bespoke MCP connections
Ask in your AI workspace.
Work with your business facts.
Preparing a sales review means exporting CRM data and collecting notes from other systems before the useful work can start.
- 01
The starting point
A manager asks for a pipeline review in a supported AI workspace.
- 02
The AI contribution
A bespoke MCP connection makes permitted CRM records available for the AI tool to summarise.
- 03
The useful output
A draft review with the relevant records and missing details. Where scoped, approved call transcripts can add context to the CRM account.
- 04
The human decision
The manager checks the underlying evidence and decides what to follow up.
One supported AI workspace, an agreed set of CRM records and read-only access. Call transcripts or additional sources are separate scoped extensions.
A conversation is a good place to start.
Where does the
work get stuck?
Tell us about one recurring problem. We’ll help you work out whether AI is a sensible way to solve it, and what a practical first step could look like.
Let’s find a starting pointArrange a conversation through our current website.