Results from recent projects

99%+match with the legacy system

A new claims audit platform reproduced the old system’s totals, so the client could switch over with confidence.

Healthcare revenue cycle
4×faster audit reports

The heaviest audit reports now load in a quarter of the time, so analysts spend their day on findings instead of waiting.

Healthcare revenue cycle
95%+predictive accuracy

A pricing model predicts what an insurer should pay on a claim, tested on claims it had never seen.

Healthcare payments
In secondsreport edits reach the data

Teams update figures right in their reports and the change is saved back to company data within seconds, not overnight.

National engineering firm

How we work

Start with the business question, then build.

You don't need to know how data platforms work. We start with what you need to decide or stop doing by hand, and build only what gets you there.

  1. 01ListenStart with the decisions you need to make and the work that slows your team down.
  2. 02ConnectBring the systems you already use together in one secure place.
  3. 03Clean upSettle on one trusted version of each number, checked against what you have today.
  4. 04AutomateReports, alerts, forecasts and AI agents that run without anyone pushing buttons.
  5. 05SupportStay on as your partner, or hand over a documented system your team can run.

For technical teams: how we build on Microsoft Fabric →

AI agents

AI that handles the busywork. People stay in charge.

We build AI agents that prepare routine work for your team: draft the post, flag the unpaid invoice, write up what changed in last month's numbers. Nothing goes out until someone on your team approves it.

One example of how agents can work. We design each workflow around your process and systems. What stays the same: a person approves before anything happens, and edits go back to the agent to revise.

One job each

Each agent does one kind of work on a schedule, so it is easy to see what it does and to trust it.

You approve, it acts

Suggestions arrive where your team already works. Approve, edit or reject in one click. Nothing happens without that click.

Your data stays yours

Agents run inside your own Microsoft account, use your data, and keep a record of every suggestion and approval.

  • Where agents help:
  • Marketing and lead follow-up
  • Month-end checks
  • Catching data errors
  • Claim and denial follow-up
  • Writing report summaries
  • Answering questions from your documents

We're building our own marketing agent the same way. More about agents →

Technology we useMicrosoft FabricPower BIAzureMicrosoft FoundryPython.NETReact

Tell us what's slowing your team down.

Bring the problem, not the technical spec. We'll tell you, in plain English, what your data can do about it and what it would take.

Talk to us
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