How we work

We start with the outcome you need, then work out what has to change.

Not every healthcare problem needs new software. Some need a better workflow. Others need better data, automation, or a combination. We work with your teams to understand what is slowing the operation down, what it is costing, and what needs to change.

The operating loop

From identifying the problem to measuring what changed.

This is how we generally work, whether the engagement starts from a product we already have or a custom build. We start by understanding the work and its cost, agree on what success looks like, make the changes, and measure the results.

01 · Understand

Find the constraint

Find what is slowing the operation down.
Workflow · data · economics · users
02 · Prove

Quantify the opportunity

Agree on the baseline, expected benefit, and business case.
Baseline · hypothesis · business case
03 · Build

Build the solution

Build or configure only what the result justifies.
Configure · integrate · automate · engineer
04 · Operate

Put it into daily use

Put the solution into daily use.
Deploy · monitor · govern · support
05 · Improve

Measure and improve

Use actual results to make the next improvement.
Learn · optimize · expand
Improve feeds back into Understand Each improvement informs the next
Ways to work with us

One operating model. Different starting points.

Deploy

Deploy

Adapt a solution we have already built.

Start with a solution we have already built, such as Apex, Encore, or OnboardMD, and adapt it to your operation.

Proven solution → Configure → Integrate → Operate
Build

Build

When an existing solution does not fit.

When an existing solution does not fit, we design and build the capability your operation needs.

Problem → Design → Build → Integrate
Transform

Transform

When the problem spans departments and systems.

When the problem spans departments and systems, we change how the work gets done across them, not just one workflow.

Diagnose → Redesign → Implement → Scale
Enable

Enable

When you are standing up an enterprise AI capability.

We help you establish the governance, priorities, and delivery capability to put AI to work across your organization. AI Center of Excellence →

Assess → Prioritize → Govern → Deliver
Principles

The principles we hold to.

01

Outcome before technology

We agree on the business result first. Then we decide whether the answer is process change, data, automation, software, or a combination.

02

Work with what works

We build around the EHRs, claims systems, and other platforms your teams already use. Replacing a core system is not our starting assumption, and security, PHI handling, and required approvals are addressed as part of delivery.

03

Prove before you scale

We establish a baseline, test the change, and measure what improved before expanding it.

04

Stay accountable to the outcome

Our teams work alongside yours through implementation and into operation, and we measure whether the change delivers the result we agreed on.

A real engagement

Provider onboarding, run this way.

One health system was onboarding providers across 18 to 20 teams on disconnected spreadsheets, with no single owner and no current view of where things stood. We started by measuring the manual coordination and where delays were happening, then brought 157 onboarding and offboarding tasks onto one tracked workflow, integrated with the systems already in place.

It runs live across the system now. Teams can see outstanding tasks and delays in one place, rather than discovering them through separate follow-ups. The result was measured in production.

Read the case study →
66,000
hours returned to operations a year
70%
less weekly coordination time

Bring us the workflow that isn't working.

Tell us where work is slowing down, where costs are rising, or where patients and members are getting stuck. We will help identify the problem, what it costs, and what can be done about it.