Services
Every engagement starts with measurement and ends with something running in production that your team owns. We scope by payback: if a fix can't pay for itself in a reasonable window, we say so.
Capabilities
Most projects combine two or three of these. They're listed separately because they're measured separately.
We document how work actually moves — every hand-off, approval, re-entry, and chase — and attach a frequency, duration, and owner to each step. The output is a map plus an hours-and-dollars figure per workflow.
The build itself: forms that write to systems of record, routing and approval rules, scheduled jobs, document generation, notifications that fire on conditions instead of on someone remembering.
Most sales-cycle delay is really data delay — records that disagree, fields nobody fills in, reports rebuilt by hand every Monday. We fix the schema and the flow so the pipeline reflects reality.
List building, research, segmentation, sequencing, and personalization assembled by machine so reps spend their day in conversations. Volume goes up without the message getting generic.
We instrument each stage to find where deals actually sit still — quoting, approvals, legal, scheduling, silence — and remove the delay at that stage rather than pushing the team to work faster.
A role-by-role read on where payroll hours go: skilled judgment, coordination overhead, or work a system should own. It answers the question behind most hiring decisions before the req gets posted.
Regulated work
More of the teams we talk to sit in healthcare or next to it, and the question is always the same: can anything be automated when patient data is in the picture? The answer is yes — but only if the rules are designed into the workflow instead of bolted on afterward. That's what this part of the work is.
To be plain about scope: we're not a law firm or a compliance office. We help you navigate the requirements and build systems that respect them; the final compliance sign-off stays with your counsel, and we design so that sign-off is straightforward.
Before anything is automated, we map where patient information enters, where it rests, and where it moves. Automating a process without knowing its data path is how accidents happen.
Every vendor that touches protected health information needs a business associate agreement — including the automation and AI tools. If a step in the chain can't sign one, it gets designed out.
Access limited to the people who need it, audit trails on every touch, and minimum-necessary defaults. These are properties of the system itself, not policies nobody reads.
Often the safest automation is the one that handles less. Where a task can run on reduced or de-identified data, we design it that way rather than routing PHI through new systems.
Engagements
You can stop after the first one. Plenty of teams take the diagnostic and implement it in-house, which is a perfectly good outcome.
1–2 weeks
One workflow area, mapped and measured. Ends with a written map, the annual cost of the leaks, and a prioritized fix list. Useful on its own, even if you build it yourself.
3–6 weeks
A defined set of automations designed, built, tested, and handed over with documentation. Scoped against the payback figure from the diagnostic.
Monthly
For teams whose processes change constantly. A recurring block of build and maintenance time, with monitoring on everything already shipped.
Take the waste-finder quiz first. It points at the category leaking the most time, and the answer tells you where to start whether or not you work with us.
