QuestionRunning
Staff asks
In Teams
- “What’s our policy on customer refunds over $500?”
- working
05
[ A I S T R A T E G Y & A D O P T I O N ]
AI strategy and adoption, where it actually helps.
Adopt AI deliberately, not by chasing tools.
Most AI rollouts stall a month in, because nobody agreed what AI is for. We start with how your business actually works, find where AI would genuinely help and where it wouldn’t, and turn that into a practical roadmap. Then we help your team adopt it: what AI does, what people do, and where judgement stays.
[ I N P R A C T I C E ]
What it looks like when the team knows exactly where AI answers and where a manager decides.
Build an internal AI assistant
Illustrative · a staff question on a busy morning
- AIIdle
Searches your documents
Not the internet
- Refund policy v3 · section 4
- Approval matrix · 2025
- AnswerIdle
Answers with the source
So they can check it
- “Over $500 needs a manager’s sign-off. Here’s the form and the policy section.”
- YouIdle
Manager approves
Judgement stays with people
- Request routed to Priya
- Approved · with a note
- LogIdle
Recorded
A trail you can audit
- Decision logged
- Policy gap flagged for review
[ W H A T I T L O O K S L I K E ]
Specific work, done a specific way.
- 01
A workflow and opportunity assessment
We map how the work actually happens and rank where AI, automation or a simpler process would save the most time. Some of the best answers involve no AI at all.
- 02
A clear division of work
For each workflow: what AI does, what people do, where judgement stays with a person. Written down, agreed, and visible to the team.
- 03
Workshops built around your real work
No generic “intro to AI” slides. Your team brings their actual tasks and leaves with AI doing part of them.
- 04
Safe-use rules people actually follow
What data can go where, which tools are approved, how to check an AI answer. Short enough to remember, specific enough to be useful.
[ Q U E S T I O N S ]
The ones people actually ask.
What if AI isn’t the right answer for us?
Then we’ll say so. Often the biggest gain comes from removing a step or connecting two systems. The assessment covers those too.
Our team is worried AI will replace them. How do you handle that?
Directly. The map we build together shows what stays with people and why, and the workshops put AI in their hands on their own tasks. Fear usually drops once someone has used it to finish something boring.
Do we need this if we are already using ChatGPT?
That is often exactly when you need it. Individual use without shared rules leads to inconsistent results and data going places it shouldn’t. This turns scattered use into a way of working.
How much of the team’s time does it take?
A workshop is a few hours. The rest happens inside normal work, because the point is to change how the work is done, not to add training on top of it.
[ W H A T Y O U G E T ]
Things you can point to.
Every engagement ends with these in your hands, not ours.
An opportunity assessment
Where time is being lost, what could change, and what it would take. Useful whether or not you go ahead with a build.
A practical roadmap
What to do first, what can wait, and who owns each step.
A safe-use policy
One page. Approved tools, data rules, how to verify.
Hands-on workshops
Run on your tasks, with your tools.
Check-ins after launch
To catch where people have quietly gone back to the old way, and why.
[ W H E R E I T A P P L I E S ]
Where this shows up in a business.
Operations
- Workflow automation
- Document processing
- Task routing
- Exception handling
HR
- Employee enquiries
- Document generation
- Onboarding workflows
- Policy questions
Marketing
- Content workflows
- Lead enrichment
- Campaign automation
- Research
Admin
- Inbox triage
- Scheduling
- Document filing
- Data entry
[ N E X T S T E P ]
Where could AI actually help you?
Tell us how your business runs today and where time disappears. We’ll show you where AI would make a difference, and where it wouldn’t.