An eye for the work
Spot what repeats and where things get stuck, and pick the problem to fix.
Internal AI execution leader program
From the AI you learn,
to your team’s
business results.
You don’t need to be a developer.
We’ll help you grow people who find problems in your work, build it hands-on,
and spread it across the team.
For business owners, AX teams, and department leads
LEARN WITH YOUR WORKWith your company’s real work
BUILD WITH ENGINEERSImplementation together with Build
LEAD WITH YOUR TEAMThrough internal operation and rollout
The field visual is an AI-generated image for illustration.
01 / THE EXECUTION LEADER ROLECapability that stays with people
Change your own work first,
then help the person next to you.
AI execution leaders solve field problems with technology,
and help the team get used to new ways of working.
They don’t have to build everything alone.
They sort what they can do from what needs help,
and work with IT, security, and engineers.
Criteria for judging results
Check whether AI got it right, catch the exceptions, and test it on real work.
Explaining it to colleagues
Share how to use it and what to watch for, and get the team using it.
02 / THE EXECUTION LEADER JOURNEYGrowth built around real work
Use what you learn right away,
leave what works with the team.
From finding the problem to team rollout.
Tap a stage to see what you do and what you keep.
- 01 / DISCOVER
Discover
Pick the work and how to measure it
- 02 / CO-BUILD
Co-build
Try it yourself and finish it together
- 03 / OPERATE
Operate
Check results and exceptions as you refine it
- 04 / SHARE
Share
Leave it so colleagues keep using it
01 / DISCOVER
Before asking what AI can do, ask which work should change.
We look at how your work flows today and what keeps repeating, then pick the first problem to solve and the results to check.
Your team brings the business context, and AXMOS helps frame the problem.
- What we do together
- Map the workflow · Find repetition and bottlenecks · Choose the scope
- What you keep
- Work problem definition · Current state and success criteria
- Question to check
- Whose work should change, and how?
We shape the scope and format around each person’s role and experience, and your work and data.
03 / GROW × BUILDWhere learning meets real implementation
For the hard parts,
Build engineers join in.
When you need specialist implementation or integration,
AX Build engineers jump in.
DEFINE WITH YOUR TEAM
GrowProblem definition · Co-design
Your team sets the task and success criteria,
and plans the work to try themselves.
IMPLEMENT WITH ENGINEERS
BuildImplementation · Integration
We connect AI agents to your existing tools,
and help with testing, deployment, and handover.
OWN WITH YOUR EXECUTION LEADERS
GrowInternal operation · Team rollout
Your team checks results and exceptions,
and gets colleagues using it.
AI EXECUTION LEADER
What your team leads
Business context · Success criteria · Result review · Peer rollout
AXMOS ENGINEERING
What specialist support connects
Technical design · System integration · Validation and deployment · Handover
Already know the work to solve? Start with Build and add Grow later. We set the implementation scope per task together.
Explore AX Build ↗
FROM LEARNING TO DAILY WORK
From copying receipts by hand,
to focusing on review.
Here’s an example of learning and building on real work.
- Grow
Sort out the input fields and exceptions, and decide what to check.
- Build
Read the receipts with OCR and connect them to your existing settlement tool.
- Grow
Check what was read, and show colleagues how to use it and handle exceptions.
An example we made to explain the program. It isn’t a specific customer’s Grow results or an actual implementation scope.
04 / WHAT STAYS WITH YOUR TEAMExecution that continues after training
When the program ends,
your team keeps using it.
WORKING OUTPUT
Applied work outputs
We write up what you tried and validated on real work, and where it applies.
OPERATING GUIDE
Operating and review guide
We leave you how to use it, how to check results, how to handle exceptions, and where to get help.
TEAM ADOPTION PLAN
Team rollout plan
We leave materials to show colleagues, who owns it, and what to change next.
SUCCESS IN DAILY WORK
Not how many people were trained, but what actually changed.
Actual use and reuse Change in time and quality of work What you can improve internally
We compare with how things work today and look together at what changed and what to fix next.
WHO GROWS WITH US
You don’t have to do it alone.
The teams who can help join in.
We make time to try it on real work,
and set up who to ask for help inside your company.
Business owners
People who want to change their own work and share it with colleagues
AX teams · Department leads
Teams that want to find tasks in their department and spread what works across the company
IT and security owners, internal sponsors
Teams that provide the tools, data access, review criteria, and room to make it happen
BEFORE WE START
Before you start,
here’s what people ask.
I don’t know any coding. Is that okay?
Totally. If you know your work and want to try it with colleagues, that’s enough. We shape the scope around your experience, and Build handles the hard implementation.
Can we do just Grow, or do we need Build too?
Grow on its own is fine. Not every task needs Build. We look together at what you can do yourselves and what needs specialist work, and help only as much as you need.
Do AI execution leaders have to take on IT and security work too?
No. AI execution leaders connect field problems and what they’ve learned from using it. System access, security review, and technical operations stay with the teams that already own them.
How long does it take, and what does it cost?
We decide together after looking at people’s roles and experience, the work to apply, your data and systems, and the support needed. Just share your goals and where you are now when we talk.
What should we prepare before we talk?
Just the work you want to change, how it’s handled today, who’ll take part, and the tools you use. How much real data to share is decided after checking your internal policies.
GROW YOUR NEXT AI EXECUTION LEADER
AI transformation?
Start by growing the people who’ll lead it.
Just tell us the work you want to change and who will take part.
We’ll decide together where to start.