Turn individual AI wins into shared ways of working.
Some of your people use AI every day and others haven’t started. We help you agree where knowledge and methods live, so the whole team can use, check and maintain the work.

Tools this often involves
What a team needs to share.
Tools
Where people do the work: Claude, ChatGPT, the AI inside your CRM.
Knowledge
What AI needs to know: customer records, documents, project context.
Working methods
How the work gets done: instructions, templates, reviews and handoffs.
Ownership
Who checks the output, handles exceptions and keeps it current.
Example workflows
Jobs we can set up in the tools you use. Each is scoped to your process.
Meeting follow-upNEXT STEPS 3Decisions written upNext steps, with ownersFollow-up emaildraft readyfrom the meeting notessent by the ownerOperationsMeeting follow-up
Writes up decisions and next steps after a meeting, and drafts the follow-up.
Project updatesJOBS 6Status collected from your toolsDelays and open itemsWeekly updatedraft readyfrom scheduling and job notessent by the officeOperationsProject updates
Collects status from your tools and drafts the weekly project update.
Onboarding guideWEEK 1Where is the expenses policy?Who approves time off?How do I get system access?First-weeks checklist4 leftfrom the approved pagespoints to the right personOperationsOnboarding guide
Answers a new starter’s questions and points them to the right people and documents.
How we can help
AI Roadmap
Map how work happens today and decide what to share, and where.
AI Rollout
Build the shared foundation and carry it into everyday use.
AI Training
Give leaders and teams a common understanding, on their own work.
How we work
We talk to people in each team about how their work gets done, look at the tools and personal setups in use, and find where information and methods already live.
For each one we decide with you: keep it personal, make it shared, or retire it. Then where the shared version lives and who owns it.
We set up the shared knowledge and methods in the tools your team already has, and build a foundation across tools where the work needs one.
We baseline who uses what before we start. Then we check what people reuse, and improve the standards from their feedback.
Related
- Business need
Knowledge and context
Make what your company knows usable.
Discuss your AI adoption work.
Tell us where AI is working for individuals and where it stops. We’ll suggest a sensible place to start.