Revenue analyst agent for a small health-tech company on HubSpot selling to hospitals and clinics, with PHI kept out of every Monday pipeline answer

What The Revenue Analyst does

Every Monday, the leadership team of a 30-person health-tech company that sells software to hospital systems and specialty clinics asks for the same pipeline numbers, and the one RevOps person exports HubSpot deals, cross-checks contract status in the e-signature tool, checks which pilots are live in the implementation tracker, and rebuilds the spreadsheet by hand. The numbers shift every week because the stage logic lives in that person's head, and deal notes sometimes contain things that should never be copied around, like patient volumes tied to a named site or a pasted screenshot from a pilot. The Revenue Analyst works for RevOps and the leadership team. It owns the Monday executive digest, plain-English answers to pipeline and bookings questions during the week, and the stage definitions that make healthcare deals comparable (security questionnaire, BAA in redline, procurement committee, pilot live, pilot converted). It reads only an allowlisted set of commercial fields, shows the source and filter behind every number, and escalates to a person whenever data is missing, a definition is disputed, or anything looks like PHI or a clinical claim.

Built on HubSpot

The company already runs its pipeline in HubSpot, so HubSpot stays the system of record and Breeze features are useful for reps asking simple questions about their own deals inside the CRM. The Monday digest needs more than HubSpot can do alone: it joins deal stages with contract and BAA status from PandaDoc, pilot status from the implementation tracker, and billed revenue from accounting, and it must enforce a strict field allowlist and redaction step for HIPAA. A custom AI build with MCP connectors gives that control, because the connector itself decides which fields exist for the agent, and the whole chain can be hosted on BAA-covered infrastructure. n8n, self-hosted, handles scheduling and the approval step so no data passes through an extra third-party automation service, and Databox gives leadership a drill-down view of the same governed numbers.

What starts it

• Scheduled run every Sunday evening that builds the draft Monday digest for RevOps review before it goes to leadership
• A leadership or RevOps question asked in the team chat channel or the HubSpot sidebar (for example, how many hospital deals are stuck in security review over 30 days)
• A HubSpot deal moving into or out of a regulated stage such as BAA negotiation, procurement committee, or pilot live
• A pilot status change in the implementation tracker, which may change how a deal should be counted in the forecast
• An end-of-month or end-of-quarter close that needs bookings reconciled against signed contracts

What it reads

• HubSpot deals, companies, pipelines, deal stage history, and owner fields (commercial fields only, through an allowlisted MCP connector)
• PandaDoc document status for order forms, MSAs, and BAAs, so 'closed won' is checked against a signed contract
• Airtable implementation tracker for pilot start dates, go-live dates, and pilot conversion status by account
• Accounting system invoices and payments (summary level) to reconcile bookings against what was actually billed
• A governed metric dictionary maintained by RevOps that defines each stage, each metric, and which fields are approved for the agent to read

When a person takes over

• The PHI scan flags something in a source field or draft: the item is quarantined, the agent stops using that record, and the privacy officer decides whether the source data must be cleaned and whether an incident review is needed.
• A digest or answer contains clinical outcome or efficacy language pulled from deal data: it is held for clinical or regulatory review before it reaches leadership, so unreviewed claims never spread internally and into sales materials.
• Leadership disputes a number or asks for a metric that is not in the dictionary: the RevOps lead decides the definition, updates the dictionary, and the agent only uses the new rule after it is approved.
• A deal is marked closed won in HubSpot but has no signed contract or BAA in PandaDoc, or a pilot is live with no matching deal: the agent lists the mismatch and the deal owner fixes the record, because the agent never edits CRM data on its own.

Rules it follows

• Protected health information never enters prompts, tool calls, or logs. The agent only reads allowlisted commercial fields, and any AI processing, hosting, and logging runs on services covered by a signed BAA, or on data confirmed to contain no PHI. Confirm BAA coverage for each system in the chain before go-live.
• No clinical claims. The agent reports commercial facts (stage, amount, dates, contract status) and never summarizes or restates clinical outcomes, efficacy, or patient impact. Any such language is routed to clinical or regulatory review.
• Every number shows its source, filter, and dictionary definition. If data is incomplete, the agent says how many records are missing what, rather than estimating.
• Read-only access everywhere. The agent cannot edit HubSpot records, contracts, or the tracker; fixes go to the record owner.
• Role-based answers. Leadership sees aggregates; account-level detail is only returned to users whose HubSpot permissions already allow it.

How you know it works

• Hours RevOps spends preparing the Monday pipeline update, tracked before and after launch
• Share of Monday digests approved without manual number corrections
• Number of weekly leadership questions answered by the agent without a follow-up spreadsheet request
• Count of CRM hygiene issues (missing close dates, closed won without signed contract) open at the end of each week
• PHI and clinical-claim flags raised and resolved, with zero instances of PHI found in prompts or logs during audits

From pilot to live

1. Pilot (weeks 1 to 4): data surface and shadow digestAgree the field allowlist with the privacy officer, confirm BAA coverage, build the MCP connectors to HubSpot, PandaDoc, and the Airtable tracker, and write the metric dictionary. The agent produces a shadow digest alongside the manual spreadsheet for three Mondays so RevOps can compare line by line and fix definitions.
2. Launch (weeks 5 to 8): digest replaces the spreadsheetThe approved digest becomes the Monday source of truth and the spreadsheet is retired. Open the question channel to leadership, add the accounting summary for bookings reconciliation, and start the weekly hygiene list for deal owners.
3. Run and maintain (ongoing)The build team monitors connector health, reviews the audit log and PHI scan results monthly, updates the dictionary and allowlist when HubSpot properties or pipelines change, and adds new questions leadership keeps asking as named metrics. Quarterly, run a compliance review of every system in the data path.