Most “AI transformation” changes nothing that matters. Adding a model to an existing queue speeds it up by a fifth and leaves the process intact. We do the harder thing: redesign the work so agents do the running and your people review the decisions that count. That is where the real gain lives.
Typical cycle-time compression on a redesigned process. The figure depends on the process – how much of it was orchestration, data-shuffling, and routine review. We quantify yours before we promise anything.
The difference between a pilot that fades and a transformation that holds is not the model. It is whether the process underneath was left alone or rebuilt. Here is the same work, done both ways.
The steps stay the same. The handoffs stay the same. A model is dropped into one of them to draft faster or summarise. People still route the work, still copy data between systems, still check each other’s output. The queue moves a little quicker. Nothing else moves at all.
Marginal. The queue speeds up by roughly a fifth. The shape of the work is untouched.
Agents orchestrate the process end-to-end – they route, they pull the data, they draft, they check each other. The handoffs that used to cost days collapse. Your people step in at the decisions that need judgement, with the evidence already assembled. They review; they don’t operate.
Step-change. The whole process compresses – typically 5–20× – and grows more auditable, not less.
Agentic redesign isn’t bespoke every time. Most processes settle into one of a handful of shapes – or a combination of them. Knowing which one a process wants is most of the design. Here are the five we reach for most.
When the process has clear sub-steps that each benefit from focused expertise. One agent runs the case; specialists do the parts.
ExampleOnboarding a new client: the orchestrator runs the case, while identity, sanctions, and source-of-funds specialists each handle their slice in parallel.
When quality matters and there’s a clear signal for what “good” looks like. One agent produces; another checks and sends it back.
ExampleNormalising messy supplier data, or correcting transcripts: a generator drafts the fix, a critic flags what’s wrong, and the loop tightens until it passes.
When the process is linear and a few intermediate gates carry real stakes. Agents run the line; humans hold the gates.
ExampleLoan origination, or a regulatory filing: each stage is automated, but a named human signs off at the points where being wrong is expensive.
When different inputs need to go down different paths. One agent reads each item and sends it where it belongs – in real time, at any volume.
ExampleInbound customer support, or vendor invoices: each one is classified on arrival and routed to the right path, with exceptions surfaced rather than buried.
When the process produces output that has to be measured and re-tuned over time. The system watches its own results and surfaces drift.
ExamplePricing recommendations, or bid optimisation: the agents act, the harness scores the outcomes, and a human is pulled in only when the numbers move.
Few real processes are one clean shape. Most redesigns braid two or three together – an orchestrator with checkpoints, a pipeline with a critic. Choosing the mix is most of the design, and we do it during the diagnosis.
A well-designed agentic process doesn’t put a person at every step. It puts them at the decisions where their judgement is worth the most per minute – and takes them off the work that never needed them.
This is a reshape, not a cut. Your people move from operators to reviewers – bringing senior judgement, with the routine cleared away.
Four phases, one process at a time. We start with the process that has the most to gain, prove the redesign next to your people before it touches anything real, then hand it over.
We map the process end-to-end with the people who actually run it, and put numbers on it – cycle time, cost per unit, error rates, where the work waits. You get a clear picture of what the process costs today before anyone proposes changing it.
We re-architect the work as an agentic flow – which shape it takes, what the agents do, and exactly where your people review. The redesign is written down in full, in a form your team can decide against and ours can build from.
We build the redesigned process and run it in shadow mode – it runs quietly alongside your people, doing the work for real but changing nothing yet, while we compare it against the baseline. Only once the numbers hold does it start running anything that matters.
Your operators are retrained as reviewers, and your team takes ownership of the running process. We can stay on a light retainer for tune-ups – and the next process to redesign is usually already obvious.
Where sovereignty matters, the redesigned process can run on our fully vertical stack – hardware to interface, on a model you own, inside your own perimeter. Sovereign LLM
Not a slide deck. A running process and the artefacts that let your team own it – each one tied back to the baseline we measured on day one.
We take one process you run today, redesign it around agents, and prove it alongside your team before it carries real work – one at a time, until the business runs differently.