Behavioral Health · Databricks Genie

CareIQ: An AI Decision Partner for Behavioral Health, Built on Databricks Genie

Your data already knows what’s wrong. CareIQ tells you what to do about it.

Every autism and ABA organization is sitting on a goldmine of data: scheduling, claims, authorizations, session notes, retention, satisfaction. The problem was never a shortage of data. It is that the answers stay locked inside dashboards nobody has time to read, scattered across tools that do not talk to each other. So the report lands too late. By the time it tells you RBT turnover is capping growth, or a center is about to miss its revenue target, the moment to act has passed.

CareIQ fixes that. It is an AI decision partner for behavioral health teams, built on Databricks Genie, that turns plain-English questions into structured, defensible answers. You get the chart, the root cause, and the next best action. No SQL, no waiting in the analytics queue, no guessing.

Ask a question. Get a decision.

CareIQ is conversational, but it is not a chatbot that hands you a paragraph and shrugs. Ask it what a leader actually asks:

Which center is most at risk of missing its revenue target? What are the top three decisions I need to make this week? Which denial reasons are costing us most this month?

It answers the way your best analyst would, if your best analyst replied in seconds and never slept. Every response is a decision package, not just a number:

The right chart, auto-selected from your question.
Live KPI tiles for billed revenue, utilization, and cancellation rate.
Root-cause analysis that explains why something changed, not just what changed.
Next-best actions for the week, each with a confidence score and citations back to the underlying data.

That is the line between data and decisions. A dashboard shows you a dip in utilization. CareIQ tells you which sites drove it, why, and what to do about it, while there is still time to act on it.

A plain-English question becomes a governed query, runs against live metrics and predictions, and returns a full decision package.

One assistant. Seven experts.

A clinical director’s questions look nothing like a finance lead’s. So CareIQ ships with seven purpose-built personas, each tuned to a real team:

Executive / Owner: portfolio health, P&L, growth, payer mix.
Finance: revenue cycle, claims, denials, AR, reimbursement.
Operations: scheduling, billable utilization, cancellations, capacity.
Intake: waitlist, referrals, insurance verification, conversion.
Recruiting: hiring BCBAs and RBTs, time-to-fill, turnover, ramp.
Care Team: treatment-plan execution, goal mastery, session quality.
Clinical Director: supervision, caseloads, authorization utilization, outcomes, CSAT.

Switch persona and the experience reshapes itself: the questions, the KPIs, the language, and the recommendations all change. A finance lead and a clinical director can look at the same organization on the same day and each get an assistant that speaks their dialect of the business.

Seven role-aware personas share one governed assistant, each tuned to the questions and KPIs its team actually works with.

Built where your data already lives

CareIQ is not another silo to integrate, secure, and pay for. It runs as a native Databricks App, on the platform your data team already trusts. The pieces underneath are all part of that same platform:

Genie translates plain-English questions into governed queries against your real tables.
A SQL Warehouse serves live metrics, so there is no nightly export and no stale copy.
An ML Serving endpoint adds prediction: authorization utilization, no-show and cancellation risk, and claim denials.
Unity Catalog governs every answer, so responses respect your existing access controls and your data never leaves your environment.

Because the whole assistant sits inside Databricks, there is nothing to copy out and nothing new to lock down. The same governance that protects your analytics protects every question a clinician or controller asks CareIQ.

The CareIQ production architecture: a persona-driven client, a server-side application, and lakehouse query and inference, returning one governed GenieResponse, with Unity Catalog over everything.

A short walkthrough of CareIQ, the Genie-powered decision assistant for care teams.

Why this fits behavioral health

Behavioral health runs on thin margins and complex operations. Revenue depends on authorizations and utilization. Capacity depends on a workforce of BCBAs and RBTs that is hard to hire, train and easy to lose. Quality depends on consistent treatment-plan execution across sites that each behave a little differently. The numbers that govern all of this are spread across scheduling, billing, payroll, and clinical systems that were never designed to answer a single question together.

That is exactly the gap CareIQ is built for. It connects those signals through one governed model and makes them answerable in plain language, so the person closest to a problem does not have to wait on an analyst to understand it. A regional director can see which sites are drifting on utilization, an intake lead can see where referrals are stalling, and a finance lead can see which denial reasons are quietly compounding, all from the same source of truth.

The bottom line

Behavioral health organizations do not fail for lack of effort. They leak margin and capacity through decisions made a few weeks too late. CareIQ closes that gap: a tireless, role-aware analyst in every team’s pocket, working on your own data.

Stop reading dashboards. Start asking questions.

Built on Databricks Genie, SQL Warehouse, and ML Serving. Want to see it on your data? Let’s talk.

Manuka AI | We build AI on Databricks