Org Transformation
From using AI to changing the work.
AI changes more than individual workflows. It affects roles and habits, how processes run, how finance tracks cost and value, how security and risk are handled, and how systems connect. We help those functions change together; your leaders own the decisions, and we work alongside them.
Sound familiar?
67%
of AI’s reported impact comes from organizational factors like culture, manager support, and talent practices: more than twice the effect of individual factors.
Source: Microsoft, 2026 Work Trend Index (opens in a new tab)
“Everyone has the tools. Usage is all over the place.”
We find out, team by team, where AI is used, where it isn’t, and what’s getting in the way.
stakeholder interviews · usage analysis
“Nobody knows who can say yes to a new AI use.”
We bring the people responsible for finance, security and risk, technology, and operations together to agree who owns each AI use, its cost and value, who approves it, and when risk review is needed. Then we build those decisions into the way teams work, not just a framework deck.
decision rights · AI governance
“People save time, but nothing else changes.”
We redesign the workflows AI touches with the people who do them, including where the saved time should go.
process redesign · role design
“The training happened. The habits didn’t.”
We train people on their own redesigned work, set up a champion in each team, and track use against a target.
enablement · adoption metrics
How it works
- 01
See how the whole system works
You getA map of workflows, technology dependencies, owners, costs, and decision points.
- 02
Align decisions and accountability
You getAgreed owners for value, cost, approvals, and risk across business, finance, and technology, with safeguards such as kill switches and recovery mechanisms where the use case requires them.
- 03
Change workflows so people actually use AI
You getNew workflows and roles, designed with the people doing the work, with a written plan for the time AI saves.
- 04
Build the habit, then hand over
You getTrained teams, champions, and an adoption scorecard your leaders run.
What you walk away with
- A named owner for every AI use.
- Decision and risk-review rules teams can use in their work.
- Clear ownership of the cost and value AI is meant to create.
- Redesigned workflows and roles for the work AI changes.
- A plan and a target for where the saved time goes.
- Adoption numbers your leadership reviews each month.
Questions
Isn’t this just change management training?
Training is the last step. Most adoption problems come earlier: nobody owns the AI use, the workflow was never redesigned, and nobody decided what the saved time is for. We fix those first, then train people on their own redesigned work.
How do you deal with internal politics?
Openly. Stalled AI changes usually come down to unclear ownership or competing priorities between teams. We get the right people in the room, make the tradeoffs visible, and get decisions written down with a name next to each one. Your leaders make the calls; we make them easier to make.
Where does the time saved by AI actually go?
Usually nowhere planned. In BCG’s 2026 AI at Work survey, more than half of employees said they don’t reinvest AI time savings into more strategic work. Each workflow we redesign gets a written plan and a target for the time it frees.
Source: BCG, AI at Work 2026 (Jun 2026) (opens in a new tab)
How do you know it worked?
We agree the measures at the start and track them: how much of the eligible work actually uses AI, how long the workflow takes, error rates, how fast AI decisions get made, and where the freed-up time went.
Tell us where it's stuck.
A few lines about what’s blocking it is enough to start. We’ll reply to set up a conversation.