Between brand strategy and a prescription sit seven minutes in a doctor’s office that nobody sees. NUMU Pharma scores every visit against your own visit model, tracks whether cycle messages actually landed, and writes the CRM entry from what was really said.

Request a demo Capabilities

of visits reviewed against one standard, instead of the ~5% covered by double visits

×1.5–2

conversion of a visit into a change in the doctor’s prescribing habit

15–50%

the gap between a top performer and a baseline rep — a coaching gap, not a people problem

+20–30%

sales growth at the same headcount

The business problem

Adding visits stopped working.
Only visit quality is left to manage.

Field force is the single most expensive line in promotion and the least measurable one. What the company knows about the conversation in the doctor’s office is whatever the rep remembered by the evening.

Ceiling

The extensive limit

More visits bring diminishing returns. A doctor’s calendar and a rep’s working day are both full — there is nowhere left to add activity.

Quality is invisible

Management never sees the actual content of the conversation in the moment — only what reaches CRM afterwards, and only what the rep chose to write down.

~5%

Assessment is a matter of opinion

Double visits are rare, stressful and show untypical behaviour. A skill score is a manager’s impression, and every manager has their own criteria.

15–50%

Skill costs money

Top performers outperform baseline reps by 15–50%. Training is expensive and its outcome is never measured against real visits.

The 15–50% gap between the best and the average is not about people. It is about access to feedback — and closing it costs less than growing the team.

The shift

Built for the rep —
not about the rep.

The system does not put marks in anyone’s file. It gives reps something they have never had: an accurate picture of their own visit and a clear route to a bigger bonus.

A coach, not a supervisor

Scores are visible to the rep and their first-line manager only. Coaching-only mode at launch: the system helps people earn more by getting better, and that is how the field accepts it.

Feedback within minutes

The breakdown arrives as the rep walks out of the office. A mistake gets corrected on the next visit the same day, not next quarter when the cycle is reviewed.

Data instead of impressions

Scoring runs on your checklist, so the standard is identical in every territory and under every manager. Territories become comparable for the first time.

Capabilities

Built for the medical visit —
not for a call-centre script.

Scoring on your visit model

Pre-call, opening, needs discovery, FABS detailing, objection handling, close, post-call — each stage scored 0–2 against your own checklist, exactly as your trainers calibrated it.

Needs discovery2 / 2

FABS detailing2 / 2

Objection handling1 / 2

Visit total12 / 14

Share of message

Which key messages of the cycle actually reached the doctor, for which brand and which specialty — measured on real conversations rather than on the rep’s recollection.

CV mortality & hospitalisation64%

Nephroprotection41%

Objections, as doctors raise them

Real objections ranked by frequency, with the rebuttals that worked and the ones that did not. Brand teams get the field’s answer to their arguments within a cycle, not after it.

Cost to the patient34%

Habit — prescribes something else27%

Concern about side effects18%

Pharmacovigilance and compliance

A suspected adverse event is flagged against the four validity criteria and routed the same day, inside the 24-hour SLA. Off-label claims, head-to-head comparisons, incentives and events-for-prescriptions are detected in the same pass.

Talk balance and detailing time

How much of the visit the doctor actually spoke, and how the time split across the two or three brands carried into the room. A rep who talks for 80% of the visit is not discovering needs, and now that is visible.

CRM that fills itself

A draft report is generated from the actual conversation. The rep confirms it instead of composing it from memory — which returns 30–40 minutes of field time per day and puts honest data into CRM.

How it works

From a word in the office
to a decision at headquarters.

Step 01

Capture

The visit is captured through a phone app or a smart badge. Capture of the other party stops if consent is not given. Noise suppression is tuned for consulting rooms and pharmacy floors.

Step 02

ASR and LLM

A transcript separated into rep and doctor, with third voices filtered out. Names and patient details are masked before anything is written to the database.

Step 03

Scoring

The real dialogue is matched against the corporate standard: visit structure, needs discovery, FABS arguments, cycle messages, objection handling and the close.

Step 04

Result and CRM

Growth zones for the rep, comparable statistics for management and a CRM record built from field reality — without manual micromanagement.

App / badge

CAPTURE · CONSENT · TLS

Speech recognition

TRANSCRIPT + MASKING

Storage in your region

AES-256 · RETENTION

Workspace

ROLE ACCESS · AUDIT LOG

PII MASKING · AES-256 · ON-PREMISE OR PRIVATE CLOUD · AUDIT LOG · LOCAL LLM ON REQUEST

The system at work

One screen for the rep.
One for the manager.

Medical rep

The visit card

A role-separated transcript with timecodes, the stages of your model marked on it, three growth zones and a reference example of the same objection handled well — by a colleague on the same team, not by a training video.

Visit 17.08 · cardiologist · 7 min 20 s12 / 14

02:14 doctor — the patients I see mostly cannot afford it…

02:22 rep — let me show you the annual therapy cost against a hospitalisation…

Growth zone: close the objection with a commitment

First-line manager

The field pulse

Quality per stage of the model, share of message across the cycle, coverage of the target base and adverse-event alerts — in the morning, not in the quarterly review. Territories are comparable because the standard is one.

quality

share of msg

97%

coverage

AE alerts

Why not the alternatives

Plenty of vendors sell conversation intelligence.
Almost nobody builds it around a medical visit.

Generic conversation tools

Where it stops

Tuned for phone channels and a contact-centre script. No visit model, no cycle, no adverse-event detection.

What FF Intelligence does

Scoring on your visit model, brand and INN dictionaries, cycle key messages, adverse-event and off-label alerts.

CRM quality module and double visits

Where it stops

The manager scores from memory, on about 5% of visits, against criteria that differ from manager to manager. Territories cannot be compared.

What FF Intelligence does

100% of visits marked up automatically against one standard. Rep and territory rankings that hold across regions.

Mystery shopping and external audit

Where it stops

One-off visits, auditor subjectivity and the observer effect. Between audits the field is invisible again.

What FF Intelligence does

A daily picture built from real visits, with no external auditors and no behaviour change staged for the inspection.

Building it in-house

Where it stops

Twelve to eighteen months to a first result, an IT programme on your side and ASR and LLM models you now have to maintain yourself.

What FF Intelligence does

A pilot in 30 days, calibration with your own trainers, and model and dictionary updates inside the subscription.

A question worth asking any vendor: will they show share of message across the cycle and an adverse-event alert on live visits during the pilot — or only on the roadmap?

The economics

Growth without adding headcount
is a quality decision.

10 → 15–20

reps per first-line manager once coaching is automated

×1.5–2

visit-to-prescription conversion

+20–30%

sales at the same headcount

+30–40 min

of field time returned per rep per day

These are benchmark ranges for field-force quality programmes, not a guaranteed outcome. What your company gets depends on portfolio, cycle design and team size — the 30-day pilot measures the range on your own visits.

The vendor

A rollout touches the whole field team.
So “with whom” matters as much as “what”.

A company with a history

NUMU Group has been shipping since 2014: 11+ years in production, 16 platforms in operation, clients in 50+ countries. Not a startup built around one contract.

A product, not a prototype

3,000+ frontline employees work in the platform every day and 100,000+ points of sale are covered by the platform. Pharma is a configuration of a working core.

Team and backing

100+ specialists across four development centres, from UTC+1 to UTC+9, behind an international group of venture and private investors from seven countries.

On-premise in your perimeter

The platform deploys inside your own boundary. Audio, transcripts and scores stay with you and do not depend on an external service staying available.

Product tour · real screens

A medical director’s morning —
in 60 seconds

These are not renders — they are live screens from the FF Intelligence workspace. What a medical excellence lead opens every morning instead of waiting for the cycle post-mortem.

app.pharma.numuhq.com/dashboard

NUMU Pharma FF Intelligence dashboard: AI morning brief, field KPIs and territory ranking

AI morning brief — yesterday’s visits, the share-of-message dip and 3 AE flags, already triaged

Close & commitment 58% — the one stage dragging the whole network down

Territory ranking — North at 71% is where coaching goes first

The screens are clickable — step through the tour. See the full workspace on your own data in a live demo: request access →

FAQ

Questions pharma teams ask first.

How is this different from double visits with a manager?

A double visit covers roughly one visit in twenty, is stressful for the rep, and shows untypical behaviour. FF Intelligence reviews 100% of visits against the same checklist, silently and identically in every territory — so scores are comparable and coaching is based on typical behaviour, not a performance for the observer.

How is consent handled with doctors?

Consent is explicit: capture of the other party stops if consent is not given, and that state is logged. Names and patient details are masked before anything is written to the database, so patient data never reaches storage.

Does it work with our own visit model and checklist?

That is the core of the product. Your stages, your scale, your FABS structure and your cycle key messages are configured during the pilot, and scoring is calibrated side by side with your own trainers until the AI agrees with them.

What happens when a doctor mentions a possible adverse event?

The system checks the fragment against the four validity criteria and routes a suspected case to pharmacovigilance the same day, inside a 24-hour SLA, with the transcript attached. Off-label claims and non-compliant promises are flagged in the same pass.

How long does a rollout take?

A pilot on one team of 8–10 reps takes 30 days, including dictionary and checklist configuration for your portfolio. It ends with a report on real visit quality, share of message and the compliance picture, plus a scale-up plan.

Can it run inside our own infrastructure?

Yes. The platform deploys on-premise or in a private cloud, with AES-256 encryption, role-based access, an audit log, and a local LLM available on request when nothing may leave your perimeter.

NUMU PHARMA · FF INTELLIGENCE

One team. Thirty days.
Your own visits.

A pilot on 8–10 reps: we configure dictionaries and the checklist for your portfolio, calibrate scoring with your trainers, and show real visit quality, share of message and the compliance picture. It ends with a report and a scale-up plan. How a pilot runs →

Request a demo Pharma industry solution

Your email client opens straight away: contact@numuhq.com

Adding visits stopped working.Only visit quality is left to manage.

Built for the rep —not about the rep.

A coach, not a supervisor

Feedback within minutes

Data instead of impressions

Built for the medical visit —not for a call-centre script.

Scoring on your visit model

Share of message

Objections, as doctors raise them

Pharmacovigilance and compliance

Talk balance and detailing time

CRM that fills itself

From a word in the officeto a decision at headquarters.

Capture

ASR and LLM

Scoring

Result and CRM

One screen for the rep.One for the manager.

The visit card

The field pulse

Plenty of vendors sell conversation intelligence.Almost nobody builds it around a medical visit.

Growth without adding headcountis a quality decision.

A rollout touches the whole field team.So “with whom” matters as much as “what”.

A company with a history

A product, not a prototype

Team and backing

On-premise in your perimeter

A medical director’s morning —in 60 seconds

Questions pharma teams ask first.

One team. Thirty days.Your own visits.

Adding visits stopped working.
Only visit quality is left to manage.

Built for the rep —
not about the rep.

Built for the medical visit —
not for a call-centre script.

From a word in the office
to a decision at headquarters.

One screen for the rep.
One for the manager.

Plenty of vendors sell conversation intelligence.
Almost nobody builds it around a medical visit.

Growth without adding headcount
is a quality decision.

A rollout touches the whole field team.
So “with whom” matters as much as “what”.

A medical director’s morning —
in 60 seconds

One team. Thirty days.
Your own visits.