Sentrova Solutions

AI-native workflow transformation

Make your operations AI-native

We redesign fragmented workflows around AI, data, automation and human judgment, then build the governed systems that make the work faster, clearer and easier to run.

Discuss an operational problem Explore workflow solutions
  • Workflow redesign
  • AI agents & copilots
  • Data & knowledge systems
  • Automation & integration
  • Governed production deployment
Starting point
The recurring workflow, not the model or the tool.
Cadence
Running software demoed every week, not status decks.
Outcome
A governed system your team can run and evolve.

What we bring

Scope Prove Build Hand over

Four words, one delivery. We scope the workflow, prove the riskiest assumption, build the system, and hand it to your team to run.

Sentrova Solutions

AI-native workflow transformation

Position

The industry can change. The work patterns do not.

Across organisations, the same bottlenecks recur: searching for information, interpreting documents, coordinating people, updating systems, preparing decisions, resolving exceptions, and following work through to completion.

Failure mode

The pilot that never shipped

A model gets built, demoed, and applauded. Then it meets real data volumes, real permissions, real people who did not ask for it, and quietly stops being used. The gap was never the model. It was everything around the model.

Failure mode

The team you rented, not the system you own

Contractors deliver tickets against someone else’s plan. Nobody holds the shape of the system, so it accretes. Two years later the knowledge left with the contract and you are paying to rediscover your own architecture.

We take responsibility for the whole path: the decision, the data behind it, and the software that carries it into production.

What that covers

What changes

Your team should not be doing this by hand.

Five things that quietly eat a week, named plainly.

  • Chasing information
  • Copying data between tools
  • Preparing routine updates
  • Reviewing documents manually
  • Losing decisions in meetings and inboxes

Sentrova identifies where work slows down, decides what should remain human, and builds AI-enabled systems that retrieve, classify, route, validate, draft, monitor and escalate work safely.

Method

Four stages. You can stop after any of them.

Each stage ends in something you can hold: a document, a running service, a repository. Nothing is contingent on the next stage being bought.

  1. Week 1–2

    Scope

    Scope note

    We sit with the people doing the work, read the data, and write down what is actually happening, including the parts that contradict the process document. Output is a scope note: the problem, the constraints, what we would build, what it costs, and what could make it fail.

  2. Week 3–5

    Prove

    Result on your data

    The riskiest assumption gets tested first, against your real data, at a scale small enough to be cheap and large enough to be honest. If the assumption does not hold, you learn it here for the price of three weeks rather than in month nine.

  3. Week 6+

    Build

    Working software

    Weekly demos of running software in a real environment. If it does not run, it does not get demoed and we say so. Scope changes are priced when they are raised, not at the end.

  4. Final two weeks

    Hand over

    Repo and runbooks

    Your engineers deploy it while ours watch, not the other way round. You get the repository, the infrastructure definitions, the runbooks and a recorded walkthrough. Support after that is a choice, not a dependency.

The full 45-day approach, stage by stage

Next

Bring us the problem nobody wants to own.

Tell us what is happening and what it costs you. If we are not the right firm for it, we will say so in the first call.

Get in touch