Voice AI · Field operations

Sixty seconds from call to CRM

Production voice agents that let pharma field reps log HCP interactions, next steps, and competitive intelligence by voice in about a minute — with compliance checks built into the pipeline.

Client
Pharma field organizations (multi-brand portfolio)
Role
Designer & builder
Timeline
2026
Stack
Speech capture & transcription · LLM structured extraction · Compliance rules · Veeva CRM sync
~60sto log a complete HCP interaction
~70%reduction in post-call admin
95%+of required CRM fields complete on voice-logged interactions

The situation

A pharma field rep's day ends with a second, invisible shift: logging the day's HCP interactions into the CRM. Details fade by evening, so records get thin — a sentence where there was a conversation. Leadership then plans targeting and coaching on data everyone quietly knows is incomplete.

The math across a field force is brutal: one to two hours per rep, per week, spent on administrative reconstruction — and the CRM still undersells what actually happened in the field.

The problem underneath

The best moment to capture an interaction is the ninety seconds after it ends — standing in a parking lot, between appointments, on an iPad. No enterprise form is usable in that moment. Voice is.

But voice in a regulated industry has teeth: reps can't free-dictate anything into a system of record. Adverse-event language, off-label discussion, and uncontrolled claims all carry obligations. The compliance layer isn't a nice-to-have — it's the product's license to exist.

Decisions that shaped the work

Capture at the moment, not at the desk. The agent is built for the parking-lot minute: speak naturally, confirm, done. Anything longer than a minute loses to procrastination.

Structure over transcript. Raw transcripts are liabilities and nobody reads them. The pipeline runs speech through transcription, then LLM-based extraction into structured fields — interaction summary, next steps, competitive intel — mapped to the Veeva schema. The record looks like it was typed by a diligent rep, because structurally it was.

Compliance checks inside the pipeline. Controlled vocabularies and flagged-language checks run before anything syncs to Veeva. Problematic content is caught at capture time — the safest possible moment — rather than in a downstream audit.

Pilot with champions, scale with proof. Early field champions surfaced the failure modes demos never show: road noise, interrupted recordings, half-finished thoughts. Each pilot round meant reviewing voice-logged records against what the rep intended before widening the rollout — the product had to survive the field, not the conference room.

What moved

Logging an interaction takes about sixty seconds. Post-call administrative time dropped roughly 70%, returning one to two hours per rep each week to actual selling. On voice-logged interactions, 95%+ of required CRM fields arrive complete — which quietly improves everything downstream: targeting, coaching, next-best-action, and every analysis my team runs on that data.

Lessons

Automate the chore nobody defends. No rep ever argued for keeping manual CRM entry. Products that remove universally-resented work skip the adoption battle entirely.

Data quality is a product outcome. Years of "please fill in the CRM" mandates achieved less than one tool that made good records the path of least resistance.

Design for the worst minute, not the demo. A voice product that works in a quiet room is a prototype. One that works next to a delivery truck is infrastructure.

Sources: resume master jun 2026 · build documentation