Process Redesign with AI takes a different starting point. We do not automate the old. We rebuild the process from scratch, designed from 2026 forward, with AI sitting at the centre rather than bolted to the side. The before and after is a different workflow, not a faster version of the existing one.
It is not the right move for every process. We pick the few workflows that matter most: the ones with the biggest impact on the business, the deepest bottlenecks, and the largest gap between what is technically possible now and what is actually being done.
What designing from 2026 forward looks like
The work starts from a different question. Not "where can we drop AI into the current process," but "if you were building this workflow today, knowing what AI can now do, would you build any of it the way it currently runs?"
The answer is almost always no, and the parts that come off look similar across organisations. The handover steps that used to be necessary scaffolding. The forms that exist because the next step needs structured data. The reviews that exist to compensate for inconsistency upstream. The clarification loops between people that exist because the original input was vague. Most of these were workarounds for problems AI now resolves earlier in the workflow. Once that early resolution happens, half of the downstream choreography stops being needed.
What replaces it is not a flat process with AI sprinkled in. It is a new shape. Decisions land earlier, on better material. Reviews become exception handling rather than the default. Tasks that took weeks compress into days, not because the work is done faster but because the work is structured differently.
How the engagement runs
The work runs in three parts, each of which stands on its own. We start where the value is highest for the situation in front of us.
A discovery phase, where useful. We map the workflow landscape with you, identify the bottlenecks, and surface the few workflows where redesign would create the largest impact. The output is a prioritised roadmap of process opportunities, with the work sequenced for impact rather than ease.
The redesign workshops. Working sessions with the team that actually owns and runs the workflow. We use AI as a sparring partner in the room, live, not in slides. We challenge the current shape. We surface the assumptions inside the existing process that no longer hold. We design the new workflow end to end. By the close of the session, the team has the new design, the rationale behind every move in it, and an implementation plan it can start executing the next week.
Implementation support, where useful. We stay involved to make the rebuild actually land. Building any custom AI components the new workflow needs (custom assistants, prompt frameworks, structured knowledge), training the team on the new way of working, and accompanying the first cycles until the redesign has become how the work runs.
The shape of the work
Workshops run a single day or across multiple days, depending on the scope. On-site or online. German or English. The format flexes to the workflow and the team.
The work is tailored end to end. There is no template redesign, because no two processes carry the same combination of stakeholders, regulatory weight, operational rhythm, and political reality. Redesigning a customer onboarding flow looks different from redesigning a deal review pipeline, which looks different again from redesigning a complaints triage process.
Delivered together with process architects who bring decades of redesigning how work actually flows inside real organisations, paired with the AI capability that opens up what becomes possible inside that shape.
What you walk away with
- A new design for the workflow, end to end, with the rationale documented behind every move.
- An implementation plan the team can execute immediately, sequenced so the first changes are live within the first weeks rather than the first quarters.
- Where the engagement includes implementation, the custom AI components the new workflow needs to actually run: assistants, prompt frameworks, structured knowledge.
- A team that has worked through the redesign itself, that owns the result, and that has the language and the logic to keep adapting the workflow as it meets real cases.
Who this is for
Organisations past the AI fundamentals stage, where leadership has set direction and a wider literacy exists, and the live question is which workflows to rebuild around what is actually possible. Functions where one specific process carries disproportionate weight: customer onboarding, contract review, sales cycles, hiring, internal advisory pipelines, complaints triage, risk reviews, claims handling. Teams ready to move from using AI tools to changing how the work runs.
How it fits
Where the focus is one specific high-impact workflow, Process Redesign is the cleaner shape. Where the goal is to enable a whole team across all of its workflows, the AI Practice Sprint is the better fit, and the two combine well across a function. The work most often follows a leadership-tier engagement like the Executive Workshop or the Executive AI Experience, which sets direction and gives the redesign air cover. The Enablement Retainer often carries the wider rollout once the first redesign is in place.