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Building a Claude MQL Intelligence Layer Inside HubSpot for Healthtech

B2B Medicaid Claude Deployment
Company overview

Washington DC-based Medicaid intelligence company helping MCOs reduce member loss at scale. 

Industry

Healthcare/Healthtech

Headquartered

Washington D.C., United States

Context

In B2B healthcare sales, where deal cycles are long and buyer signals are subtle, the difference between a warm lead and a missed opportunity often comes down to whether anyone was paying attention at the right moment.

When senior leadership is doing outbound personally — and every email they send carries relationship weight — the cost of not systematically reviewing those contacts isn't just an ops inefficiency but pipeline leakage at the source.

The deeper problem is one of signal density. A contact at a Managed Care Organization (MCO) who replies to two emails, asks a question about redetermination, and shows up to a meeting isn't just engaged — they're qualified. But without a framework that evaluates fit, title, engagement patterns, and pain point acknowledgement together, that contact stays as a name in a CRM rather than becoming a prioritized opportunity.

The gap isn't data. It's the structured intelligence layer sitting between raw CRM activity and a confident MQL decision.

Challenge

Senior-led outbound was generating real signals, but no system existed to catch and qualify them consistently. 
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Warm contacts were falling through the cracks
Every outbound email from the President or CEO was a potential buying signal, but without daily review, engaged contacts aged out without ever being qualified or actioned. 
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MQL decisions were entirely judgment-based
There was no defined signal framework translating CRM engagement into a qualification verdict — leaving the team reliant on memory and manual interpretation rather than consistent criteria. 
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HubSpot data wasn't being used as intelligence
Months of contact engagement history — replies, meetings, calls, notes — sat idle in the CRM, never synthesized into a view that could inform a pipeline decision the same morning.

Solution

Claude-powered MQL agent that reads HubSpot every morning and delivers a decision-ready qualification brief. 
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Daily lead prioritization, automated
Each morning, the agent scans HubSpot for every contact the President or CEO emailed in the last 24 hours, deduplicates by recipient, and builds the day's review list without manual input. 
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Multi-signal MQL framework baked into every run
Each contact is evaluated against a defined qualification logic — covering organizational fit, title, response engagement, content interest, pain point acknowledgement, repeat engagement, recency, and disqualifiers — applied consistently, every day. 
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Structured brief with confidence-graded MQL cards
Flagged contacts are surfaced with a confidence rating, signal-by-signal evidence, an engagement arc summary, and a direct HubSpot link — giving the team everything needed to act without opening a single additional tab.

Impact

A qualification process that was previously ad hoc and inconsistent now runs on a defined framework, every single day. 
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Pipeline visibility starts at the first signal
Warm contacts are identified and evaluated the morning after outreach — before they cool off, before they're forgotten, and before the window for timely follow-up closes. 
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MQL decisions are defensible, not instinctive
Every qualification verdict comes with documented reasoning and evidence pulled from the CRM — giving the team a consistent standard and a clear audit trail for every contact flagged. 
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Senior selling time compounds, not fragments
With the review handled by the Claude MQL agent, leadership attention shifts from manually piecing together who might be warm to acting on contacts already ranked, reasoned, and ready for next steps. 

Stats

The new multilingual setup delivered measurable improvements in efficiency, speed, and customer experience.
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