Healthcare AI, behavioral health, care navigation, and provider enablement teams

Healthcare AI RevOps

Healthcare RevOps support that makes CRM, lifecycle data, attribution, AI-assisted prioritization, and revenue-quality reporting operational.

When this work matters

The CRM is live, the team is busy, and leadership still lacks one trusted view of lifecycle quality, source truth, attribution, capacity, and revenue quality.

Founder problem

CRM exists, but the company still lacks lifecycle clarity, source truth, attribution discipline, capacity-aware prioritization, and executive operating cadence.

What gets built

HubSpot lifecycle architecture grounded in healthcare operating stages.
Source, attribution, cohort, CAC, LTV, and referral tagging discipline.
AI-assisted lead or account prioritization where it improves commercial decision-making.
Revenue-quality dashboards for leadership cadence, not vanity reporting.

Proof patterns

1,200+ clinicians onboarded in 90 days.
18% blended CAC reduction and $420K qualified pipeline in 60 days.
3.2x patient lifetime value lift through cohort and lifecycle discipline.

What not to do

Do not use AI as decoration if it does not change prioritization.
Do not automate broken lifecycle definitions.
Do not let marketing, sales, and operations report from different truths.

Decision questions

Which lifecycle stages are real operating handoffs?
Where should AI assist prioritization without making clinical decisions?
What source or cohort data would change budget decisions?

Related proof

1,200+ clinicians onboarded in 90 days

Behavioral Health Growth / AI RevOps

Read case study

$125.9M leakage surfaced through claims forensics

Databricks Claims Forensics / Referral Leakage

Read case study

Build the wedge. Prove the motion. Scale what repeats.

For Series A/B teams that need sales, partnerships, implementation, payer logic, and revenue intelligence to become one operating system.

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