Performance baseline
A before-and-after view of cycle time, throughput, quality, errors, cost and capacity.
The situation
The pilot works.The process stayed the same.
The technology proved itself. The workflow around it did not move.
Pilots prove that AI can do the work. Production needs the workflow around it rebuilt to match. That is where the value sits, and where most of the redesign work still needs to happen.
No one person owns the whole system. Operations owns the workflow. Technology owns the tool. Compliance owns the controls. Finance owns the value case. Each can do their part while the result still goes nowhere.
Another pilot produces more evidence. It does not produce a new way of operating.
The question is which process is worth rebuilding, and who must own the change together.
The method
How we rebuild it
Four questions take one process from a promising pilot to owned production.
Which process is worth rebuilding?
We compare processes by potential value, operational friction and feasibility. Then we choose one where redesign can produce a result the business can see.
What must change around the technology?
We redesign the full workflow with the people who run it: tasks, decisions, handovers, roles & incentives, data and controls.
What makes it ready for production?
Risk, compliance and process owners define the evidence, controls and go-live criteria from the start, not at the end.
Can your team run and improve it without us?
We run the first cycles together, transfer ownership and measure whether the team can operate and change the workflow without H3.
What you get
What your team owns after one cycle
Four things your team can operate, govern and extend after H3 steps back.
Live redesigned workflow
One process running with real users and data, built around the outcome rather than the old sequence of tasks.
Human–AI governance model
Human–AI responsibilities, judgment points, escalation paths, controls and accountable owners.
Operating playbook
The routines, knowledge and internal capability to run, govern and continue improving the workflow without H3.
A better process creates capacity. The business must use it.
Redesigning the process changes how people work and creates time, quality or capacity. That connects this horizon back to adoption and forward to new services, propositions and revenue. The horizons move together, each at its own speed.
Evidence from practice
Days became minutes.
One pricing process, rebuilt around an automated model and checked against the team’s own logic.
European energy company · pricing
A European energy company's pricing team rebuilt their manual process as an automated model, with us in the work alongside them. What took up to four days now runs in minutes.
The model reproduced the logic of the team’s Excel model—more than 300,000 formulas used to determine charging-station prices.
Questions we hear
Asked in every first conversation
The five that come up before anyone talks about scope.
What is the difference between AI adoption and process redesign?
Adoption fits AI into the work as it is, so people get faster at the same steps. Redesign changes the work itself: which steps exist, who decides, where the hand-offs are and what the controls check. Most stalled pilots need the second and were given the first.
How long does it take before we see a result?
One cycle of two to four weeks rebuilds one process with the people who run it, and ends with the workflow live and measured against its previous performance. Larger programmes chain cycles, and each one produces a result.
Do you need access to our systems?
Not to start. The first step runs on interviews and a screen-share, which is why it can begin before supplier onboarding is complete. Your own people make the changes inside your environment, with the access they already have.
What happens to the people whose work changes?
They are in the rebuild from the first day, because they are the only ones who know where the workflow breaks. The process is theirs when we step back, and whether they can run and improve it without us is the thing we measure.
How do you prove the process changed?
We baseline the workflow before the cycle on throughput, error rate and where the hours go, then measure the same things afterwards. Not tool usage: a team can use a tool every day while the process it sits in produces exactly what it did before.
Who needs to be involved on our side?
One accountable sponsor, the process owner, and the people who live the workflow. Risk and compliance join at the start rather than at go-live, because they define what counts as ready for production.
How we start
Start with what needs to change.
Every engagement begins with one defined result, a clear timeframe and a decision at the end. Four ways to start, from a two-day workshop to a twelve-week roadmap.
See how we startTurn one working pilot into a working process.
Bring us a process where AI has proven it can work but the result has not reached production. We will help you see what must change, who needs to own it and where to start.
Discuss what's blocking progress (opens in a new tab)
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