Your people and AI, evolving together.
We help mission-driven organizations map how work really moves, agree where AI belongs, set it up safely, and grow their people's ability to run it.
Book a Work & AI DiagnosticStarts with a free 30-minute call.
1. Map the work
See where work waits and what burns hours.
2. Align on where AI fits
Pick where to start, and what stays with people.
3. Harness it
Give AI the context, rules and checks to work safely.
4. Grow your people
Your team runs it, and plants the next one.
What goes into a harness?
- Shared context. Your ways of working, where the AI can use them.
- Approved tools. Nobody pastes work into a personal account, and AI works in isolated spaces away from passwords and private data.
- Clear lines. What AI drafts, what a person checks, what it never touches.
- Quality standards. So AI work arrives finished, not polished and empty.
- Feedback loops. Corrections improve the AI and the team.
- A baseline. Because people often feel faster with AI when they aren't.
You bought AI. The work didn't change.
Workarounds live in people's heads and inboxes. Put AI on top and it automates the workarounds. So we start with the work itself.
88% of organizations use AI. Only 39% see any profit impact.
McKinsey, 202540% of desk workers got polished but empty AI work last month. Each cost about two hours.
Stanford and BetterUp, 2025
How to start
Work & AI Diagnostic
Map and align one function you choose.
Pilot
Harness and grow one workflow, measured against the baseline.
Program
The same steps across more of your organization.
Starts with a free 30-minute call. If AI isn't the answer yet, we'll say so.
We work this way ourselves.
Aliveness Dev is our own AI-native engineering practice, in active development and research. Product managers, engineers and AI coding agents build software together in three steps: Plan, Build, Learn.
1. Plan
Agree the problem, the outcome and how the software should behave, in scenarios anyone can review.
Written up as
proposal.mdandspec.md2. Build
Small tasks, tests first, AI agents in isolated sandboxes, every change reviewed against the spec.
Code, tests and reviewed pull requests
3. Learn
Track how it's used in production. Document decisions and lessons so they stay with the team.
Shared decisions and documentation
AI drafts and builds. People set the intent, approve the spec and review the work. Our own product, Aliveness OS, is built and deployed entirely this way. It's the same harness we help you set up.
Who you'd work with
- Dmitriy LyanProduct and strategy
Led product at Amazon and Meta, serving billions of customers.
- Keolo KeagyEngineering and AI
Two decades building systems at scale, including at McKinsey.
- Andrew DavisFlow and delivery
Co-author of Flow Engineering.
- Mingzhu HeService and systems design
More than 100 service and systems design engagements.
Questions
Will this change roles on our team?
Often, yes. We show you where time goes and what AI could take on, including what that means for roles. You decide what to do with the time it frees up. We help you plan any change with the people it affects.
How is this different from a consultancy or a software vendor?
A consultancy leaves you a recommendation. A vendor leaves you a tool. We work inside one real workflow with your people until it runs, then hand it over.