Clinical and operational data
Connect AI features to EHR, scheduling, billing and reporting data through scoped, auditable access.
For healthcare companies
AI inside clinical and revenue-cycle workflows.
Agents and AI features that work inside clinical, scheduling and revenue-cycle workflows, with the permissions, audit trails and integrations a regulated product needs.
What we solve
Where AI meets clinical and financial workflows.
Actions with consequences
Approval steps, role-based permissions and full traceability around anything an agent can change.
Ready for security review
The evaluations, access model and records your security and compliance reviewers ask for, delivered with the software.
Data you can trust before AI touches it
Clinical, claims and operational data unified, permissioned and audited, so agents and reports work from one governed source.
Proof
Work we have already done.
We built the core of an EHR and revenue-cycle platform, carried it through acquisition by an a16z-backed company, and delivered the enterprise data layer behind more than 100 reports used by hospitals and healthcare organizations.
Healthcare / selected work
Technical leadership through acquisition
- The problem
- A regulated EHR and revenue-cycle platform connecting clinical workflows, revenue operations and patient access.
- What we built
- The core EHR/RCM system, with HL7 orders and labs, telehealth and a patient portal, then a Microsoft Fabric data layer after the acquisition.
- What it made possible
- A platform the acquiring a16z-backed company chose as its technology foundation, with 100+ reports in use by hospitals and healthcare organizations.
- CTO
- platform leadership through acquisition
CTO leadership, TeqEngine software development and technical diligence through acquisition.
Read case studyContinuity through a technical transition
- Understand the estateArchitecture, dependencies and technical risks
- Make the decisionDiligence findings · leadership communication
- Carry the platform forwardSystem and data delivery after acquisition
- Maintain ownershipOperational context · decisions · handoff
How we engage
Forward-deployed engineers, on terms you can plan around.
Build the feature, or the governed data foundation underneath it, with a forward-deployed team. Keep it current with Harness Watch, or start with a Harness Review of what you have.
Forward-deployed build
Initial three-month engagement
Forward-deployed engineers embed with your team and build the agent platform, AI product or the systems behind it, measured with the Harness Method from the first week. Scope, milestones and acceptance criteria are agreed before work starts.
You get: Working software, a scorecard on quality, speed, cost, control and drift, the harness your engineers keep using, release gates, runbooks, and a handoff your team runs with.
Explore this optionForward-deployed operations
Monthly retainer, with Harness Watch
After launch, we stay on to run Harness Watch: a verdict on each relevant model release, a monthly scorecard, incident response and ongoing improvements.
You get: Release verdicts, a monthly scorecard, a quarterly autonomy review, incident response, improvements and a leadership readout.
How Harness Watch worksHarness Review
Two to three weeks · fixed price
An AI agent audit across every layer: where the time and money go, a scorecard on five measures and a prioritized fix plan.
You get: Harness Map, Scorecard, model and settings comparison, control findings, fix plan, and the test runner in your repository.
Explore this optionOr start where your agents are today
Build
Building something new
Add an AI feature, connect it to your systems, or build an agent workflow, measured from the first week.
Forward-deployed build · initial three-month engagementEvaluate
Agents already live
Find where the time and money go, score the agent on five measures and fix what matters first.
Harness Review · two to three weeksRun
Running and improving agents
Monitor agent behavior, respond to incidents, improve the system and evaluate model changes against your own cases.
Forward-deployed operations with Harness Watch · monthlyDesign
Not sure an agent fits yet
Choose the workflow worth automating, compare the ways to do it and prove a first version.
Harness Design · three weeksGo deeper
Read how we approach it.
Start a conversation
What are you building—or deciding?
Tell us what you’re building, what is getting in the way, and the outcome you need.