CASE STUDY
How a clinical-stage biotech company turned CRM call notes, advisory board outputs, and qualitative field data into a weekly medical intelligence pulse — and started acting on it before problems became patterns.
Ariya weekly medical intelligence summary — adapted by persona and function. (Screenshot data and names have been anonymized.)
THE SITUATION
This company's medical team was not short of information. Every week, their MSLs were logging call notes in the CRM. Advisory boards were generating structured qualitative feedback. Field surveys were capturing HCP sentiment across therapeutic areas.
The raw material for genuine medical intelligence was there. The problem was what happened to it next.
Synthesising hundreds of CRM entries, advisory board outputs, and qualitative data points into something actionable was a manual, time-consuming process that required dedicated analytical effort nobody had spare. As a result, it was not done often. A quarterly review if the calendar allowed. A summary when someone had time to write one.
In practice this meant the medical team was sitting on a live feed of field intelligence — HCP objections, emerging questions, competitive signals, unmet needs — and converting it into strategic input roughly four times a year.
By the time a pattern was identified, it had often been a pattern for months.
Ariya detailed medical insight cards — recommendations and actions linked to source evidence. (Screenshot data and names have been anonymized.)
WHAT WE BUILT
The engagement began by connecting Ariya to the medical team's existing data sources — CRM call notes from MSL interactions, advisory board outputs, and qualitative field surveys. Hundreds of conversations per week. Tens of larger structured documents per quarter.
Ariya was deployed to do what the team did not have time to do manually: synthesise across all of these sources simultaneously, identify emerging patterns, surface strategic signals, and structure them into actionable weekly intelligence.
The output was not a single report. It was a set of persona-adapted summaries, automatically distributed to the right people in the right format:
The Medical Director received a detailed synthesis — patterns, tensions, recommended actions, and supporting evidence from the underlying data.
Senior executives received a concise strategic summary — key signals and priority actions, without the analytical detail.
The field team received focused operational guidance — what HCPs are raising, what objections need addressing, what assets are working and what are not.
Same intelligence. Different depth. Delivered weekly, automatically, without anyone having to write it.
FIELD INTELLIGENCE SYNTHESIS
CRM call notes, advisory board outputs, and qualitative survey data synthesised simultaneously — every week. Patterns that previously took months to surface now identified in days.
PERSONA-ADAPTED OUTPUTS
Medical Directors, senior executives, and field teams each receive a version of the weekly intelligence summary calibrated to their role — same underlying data, different level of detail and different framing.
PROACTIVE STRATEGY
With weekly structured intelligence, the medical team can identify emerging HCP objections, shifting sentiment, and competitive signals early enough to adapt messaging, assets, and field strategy proactively — not reactively.
EARLY RESULTS
This is an honest account of an early deployment. The platform has been live for a short period and hard metrics are still maturing. What we can report is what changed in how the team operates.
The most significant shift is cadence. A medical intelligence process that previously happened quarterly — when someone had time to compile it manually — now happens every week, automatically. The team is not working harder. The intelligence is just always there.
The second shift is in what the team does with it. Field feedback that previously sat in CRM entries nobody had time to synthesise is now directly informing strategic decisions. The medical team identified specific HCP objections emerging from MSL call notes and adapted their objection handling and asset strategy to address them proactively — before those objections became embedded patterns in the field.
That loop — from field signal to strategic response — used to take a quarter. Now it takes a week.
We will update this case study as results mature.
Medical intelligence summaries, replacing a quarterly manual process
CRM call notes, advisory boards, and field surveys — synthesised simultaneously
Deployment stage — results updating as the platform matures
We were collecting the right information.
We just never had time to make sense
of it. Now we do — every week,
without anyone having to write it.
Medical Director, Clinical-stage
Biotech Company
ARIYA CAPABILITIES USED IN THIS ENGAGEMENT
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