New facilities on one checked path
Connect PointClickCare and facility feeds through repeatable mappings. Validate records before they enter the shared model.
You receiveOnboarding runbook
Delivered through Data IntegrationCare data, governed.
Ready for the clinician.
Bring PointClickCare and facility records onto one checked path, with PHI controls and a clinician accountable for the decision.
Facilities on one path
Reuse the onboarding pattern as each community joins.
PHI governed throughout
Define access and lineage before data reaches an agent.
A clinician decides
Keep clinical review in the workflow.
<24h to onboard a new community, down from 3 weeks · CenteredCare
Care data that arrives
ready for use.
Every facility brings its own records and formats. A repeatable onboarding path and explicit access rules help care teams use the data with confidence.
Normalize at the source
Resolve differences between clinical systems as records arrive.
Set the access boundary
Make identity, permitted use and retention explicit.
Keep review in place
Draft documentation for a clinician to check.
This is the right partner when
- New communities take a fresh integration project.
- Clinical and operating reports disagree.
- An AI pilot needs clear PHI boundaries.
Data and AI work
for care delivery.
Start with the decision, follow the data, and leave each engagement with something your team can use.
PHI access by design
Map owners and access rules across clinical data domains. Give teams an explicit design for permitted use.
You receiveAccess design
Delivered through Data GovernanceControls in each AI request
Scope identity and tools around the clinical workflow. Keep consequential actions behind a named human decision.
You receiveSign-off design
Delivered through Trust LayerLess work around clinical documentation
Ground documentation and intake agents in the permitted record. Keep the clinician or operator responsible for review.
You receiveGrounded tool path
Delivered through Agentic AIReporting across the care estate
Align operational and quality definitions across facilities. Give care leaders a shared reporting model in Power BI.
You receiveSemantic model
Delivered through Analytics & BIChoose a ready clinical use case
Trace the data and permissions behind one proposed workflow. Price the gaps before committing to the pilot.
You receivePriced gap list
Delivered through AI Readiness
The Mandelbulb Kit Healthcare editionBuilt and maintained in-house
Engineered in-house.
The Mandelbulb Kit.
Accelerators, agents and products we build and maintain ourselves, brought into an engagement wherever they fit.
Voice agents · Handle the intake
TheTranquil
Voice conversations that keep their context and know when to hand over.
- Detects tone and handles interruptions
- Keeps context across turns
- Escalates cleanly to a supervisor
At intake
Explore more about TheTranquilAlso in this edition
Proof from
care delivery.
CenteredCare
Healthcare · Senior living
How CenteredCare Onboards a New Community in Under 24 Hours
CenteredCare needed a repeatable path for each new senior-living community. Reusable ingestion and validation made onboarding a platform capability.
- To onboard a new community, down from 3 weeks
- <24h
- Fewer ingestion errors
- 60%
A clinical documentation platform
Healthcare · Clinical AI
Clinical Notes by Voice: 35+ Hours a Month Back per Clinician
A clinical documentation platform brought voice into the notes workflow. The clinician retained review of the record, with controls around the data path.
- Fewer documentation errors in post-visit audits
- 60%
- Clinician adoption within four weeks
- 80%
Questions buyers ask.
How is AI used in healthcare?
In healthcare, AI is most useful in the work around care: onboarding facility data, intake, documentation and reporting, with a clinician accountable for every clinical decision. We connect PointClickCare and facility feeds through repeatable mappings, ground documentation and intake agents in the permitted record and give care leaders a shared reporting model across facilities. Clinical review stays in the workflow.
Which data platform suits a healthcare team?
Healthcare teams need a platform where identity, permitted use and lineage can be enforced, and the choice itself is open: Microsoft Fabric, Databricks or BigQuery for data, with Azure OpenAI, OpenAI, Anthropic, Gemini or a self-hosted model for AI. We design the access boundary first, so the same PHI rules carry over whichever platform and model you run.
How should a healthcare organization start with data and AI?
Start with one facility to connect, one reporting gap or one intake workflow. Bring it to a 30-minute working session and we identify a bounded next step. If you are weighing an AI pilot, an AI Readiness engagement traces the data and permissions behind one proposed workflow and prices the gaps before you commit, and Butter gives a free first verdict on the use case.
How should PHI be governed in an AI workflow?
Define access before data reaches an agent. Map owners and access rules across clinical data domains, make identity, permitted use and retention explicit, and scope each agent’s identity and permitted actions around the workflow. Consequential actions stay behind a named human decision, and the clinician or operator remains responsible for reviewing anything an agent drafts. This design supports your own compliance review rather than replacing it.
What does a first healthcare engagement deliver?
A first engagement delivers one artifact the care team can use, scoped to a bounded problem. Depending on the starting point, that is an onboarding runbook for new facility feeds, an access design for clinical data domains, a sign-off design for an AI workflow or a priced gap list for a proposed pilot. Each phase is fixed price and fixed scope.
What we do.
For Healthcare, the four practices run as one loop.
Strategy & Advisory
Judgment before the build. We map what your data can actually do for the business, price the path, and hand you a plan you keep, whichever way you decide.
Modernization
We move your data out of aging systems onto a foundation built for what comes next, without losing a single number along the way.
Data & AI
The work your teams feel every day: live operational intelligence, reporting people trust, and AI that acts inside the systems you already run.
Data Estate Optimization
A running estate quietly gathers waste. We find it, tune it, and turn the savings into the budget for whatever you build next.
Partners and recognition.
Bring the facility
you need to connect.
Bring the source system, reporting gap or intake workflow. We will identify a bounded next step in a 30-minute working session.