AI coaching in every MR's pocket.
Turn each visit into a prescription.
Medical representatives in the field face the same objections repeatedly. Periodic training, detailing aids, manager ride-alongs — none of them happen in real time, in the field, after a visit where an HCP just raised a new objection. Pharos Signal closes that gap.
Pharos Signal · AI coaching after every HCP visit.
The coaching gap
that costs prescriptions.
Medical representatives in the field face the same objections repeatedly — cost, competitor positioning, efficacy doubts, side effect concerns. Most organisations handle this through periodic training sessions, detailing aids, and manager ride-alongs. None of these happen in real time, in the field, after a visit where an HCP just raised a new objection that the MR didn't know how to answer. Signal closes that gap.
Three capabilities. One tool.
AI Call Coach with Post-Visit Feedback
Analyses meeting notes and voice logs after each HCP interaction. Identifies objection handling gaps, competitor mentions, and prescription intent signals. Specific strategies recommended for the next visit — while the conversation is still fresh.
Live Field Intelligence Feed
Real-time alerts on overdue HCP visits, competitor activity, rising product demand signals, and high-conversion opportunities. The right account gets the right attention at the right time. Not on a monthly report — today.
HCP Relationship & Engagement Tracker
Full visit history, prescription intent score, and product promotion record for each HCP. Complete context before every call. Managers monitor engagement quality across the territory.
What the engagement
actually looks like.
How Pharos Signal provides AI coaching for medical representatives
A typical Signal deployment is triggered when a sales head observes the bottom-quartile MR cohort consistently underperforming on the same metrics — call objection handling, product-positioning clarity, prescription-intent recognition — and traditional in-field coaching is failing to close the gap.
Per-call analysis. After each HCP visit, the MR submits a structured post-visit note (text, voice-to-text, or app-form). Signal parses the note for objection patterns, competitor mentions, prescription-intent signals, and product engagement progression. The output: a per-call coaching insight that surfaces the specific opportunity the MR missed.
Pattern detection across the MR's call history. Signal identifies recurring objection types the MR is not handling effectively, recurring competitor mentions the MR is not addressing, and recurring product-positioning weakness across the MR's HCP base. The patterns become a coaching dashboard the MR's regional manager can use to structure 1-on-1 coaching.
Best-practice library. Signal builds a library of how top-quartile MRs handle specific objections, position specific products, and convert specific HCP archetypes. Bottom-quartile MRs see exemplary patterns from top-quartile peers — anonymised — as direct coaching content.
Compliance framework
Signal operates under UCPMP 2024 — all coaching content is reviewed against the promotional-content compliance framework. HCP-data privacy is governed under DPDP Act 2023. The platform does not record HCP visits — coaching is derived from MR-submitted notes, not surveillance of HCPs.
Outcome targets
(1) Bottom-quartile MR performance improvement — typical 18–32% lift in objection-to-prescription conversion within 6 months; (2) Top-quartile MR knowledge codification — explicit best-practice library reducing onboarding-to-productive-MR ramp by 30–45%; (3) Regional manager 1-on-1 coaching effectiveness — measurable via paired MR self-assessment surveys.
How Pharos Signal connects
to the rest of Pharos.
Signal coaches the MR after each visit. RxFlow holds the prescription outcome data. RouteIQ plans the visit. Gate surfaces the pipeline. Pulse rolls up coaching outcomes.
Built for specific roles.
Nine modules. One intelligence layer.
Built for the specific frictions of pharma.
ICG's commercial and field force engagements run on RxFlow, RouteIQ, Gate, Signal, and Pulse — five tools that connect field activity to prescription outcomes.
Explore the full Pharos platform →Every ICG pharma engagement runs on some combination of these nine modules. The pilot engagement determines which ones are active from Day 1.
Start a pilot project →
Led by a pharma specialist.
IIT BHU-founded leadership team.
Every ICG pharma engagement is led personally by Aditi Tripathi — M.Pharm, IIT BHU — with Abhash, Deep and Rohit (Co-Founding Team) bringing the scientific rigour, delivery architecture and commercial lens built across 8+ years. IIT BHU pharmaceutical engineers at every level of the engagement.
60+ specialists. One process. Every deliverable in-house. Gurgaon, since 2018.
Abhash Kumar
Strategy Lead · IIT BHU + IIM Bangalore
Leads scientific strategy and quality governance. Sets the standard for scientific rigour across every engagement.
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Deep Das
Operations Lead · IIT BHU (B.Tech + M.Tech)
Owns the AI-powered delivery system — the multi-tenant operations layer that runs every pharma engagement on time and on spec.
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Rohit Gupta
Business & Growth Lead · IIT BHU + IIM Rohtak
Pharma engineer who owns business growth and the commercial lens connecting science to prescription outcomes.
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Aditi Tripathi
IIT BHU · M.Pharm
Aditi leads every pharma engagement end to end — from scoping the scientific writing architecture to governing quality across delivery. Her M.Pharm from IIT BHU means she doesn't need the science explained to her. "She explains it to everyone else."
See Pharos Signal live.
30-minute demo. No commitment.
The demo walks through mr ai coaching on real (anonymised) pharma data. You see exactly how the tool fits the engagement before any commercial conversation.
