A playbook built for your company. Coaching until it runs.
We don't install a tool and leave. We find where your company stands on mindset, skill set and tool set, write the plan for that spot, and coach your leaders while your people put it to work.
Where AI adoption actually breaks down
A lot of companies buy tools first. The tools are rarely the problem. We work all three layers at once, starting with the one that holds you back most.
Change management for the AI era
- Leaders who use AI themselves, every week
- One named owner with real authority
- Early adopters found and given room to lead
- A story your team believes: AI as their advantage
Learning by doing real work
- Training built on your own processes, not demos
- People outside engineering building their own workflows
- Time and cost saved, measured every time
- What works gets shared across teams on purpose
Tools that fit and stay flexible
- Approved tools people can use with company data
- Clear rules for what data goes where
- Buy versus build decided on the evidence
- Models and vendors you can switch as the field moves
12 weeks. 1 to 3 problems. A return you can measure.
We don't start with a strategy deck. We start with operational work your team already feels, because a real win does more for adoption than any memo.
Your team owns the execution. We coach, unblock and keep score.
- 1Weeks 1 to 2
Read and baseline
Your leaders answer the assessment on their own. We map where they agree, where they don't, and pick 1 to 3 operational problems with a measured baseline.
- 2Weeks 2 to 4
Internal hackathon
One day or one week, your call. Teams attack those problems with AI. You get early wins, and the people who light up become your champions.
- 3Weeks 4 to 10
Build, coach, clear the way
Champions turn the best ideas into workflows that run. Leaders get weekly coaching. We help clear the policy and red tape that slows adoption.
- 4Weeks 10 to 12
Measure and plan what's next
Results against the baseline, the playbook for the next phase, and a team that can keep going without us.
Two kinds of expertise, side by side
Technology alone doesn't change habits, and change management alone doesn't ship workflows. You get both.
Makes it work
Picks the right model and tool for each job, designs workflows that protect your data, and helps your people build things that hold up in production.
Makes it stick
Coaches your leaders, builds the case each team cares about, and turns early wins into new habits across the company.
How we build, every time
Tool and model agnostic
AI changes every month. We design systems that can take the newest models and tools without locking you into any single provider or ecosystem.
IP and trade secrets protected
Protection for your intellectual property is engineered into the system, so you can bring your data to AI without fear of it being used to compete with you.
Buy versus build, on the evidence
We help you decide when to buy a tool and when to build your own, and we say so when something you already pay for will do the job.
Then the bigger question
Once AI runs inside the operation, the next question is growth: which new products, services or markets AI opens up for you. Phase two starts there, scoped for your company when you're ready.
Do we need a technical team?
No. Phase one is built so people outside engineering can build and own their workflows. If you have engineers, they move faster with us beside them.
Do you replace our consultants or IT partner?
No. We work alongside them. Our job is adoption and the playbook; anyone who already supports your systems stays in place.
Can we start with only the hackathon?
Ask on the fit call. Starting there is one way to see what your people can do before committing to the full phase.
See what phase one would look like for you.
One free call. We'll talk through the 1 to 3 problems we'd start on.