Solutions · Pharma
Your reps get five minutes with a physician. Let them practice it first.
Medical representatives run the visit by voice with an AI physician who is short on time, skeptical, and asks for the source behind every number. You see who is ready before the team goes into the field.
The problem
A field visit is the hardest conversation to rehearse
The window is tiny
A rep gets a few minutes between patients. There is no room to warm up. If the opening is weak, the visit is over before the message lands. That skill only comes from repetition, and reps get very few real repetitions per week.
Nobody sees the actual visit
CRM records that a visit happened. It says nothing about how it went. A field coach can join a handful of visits a week, and reps behave differently when the coach is in the car.
Objections repeat, answers do not improve
The same objections come back across territories. The current regimen works. A colleague recommends something else. Where is that data from. Without a place to rehearse, each rep invents their own answer.
How it works
Build the visit, run it by voice, get the debrief
Build the scenario
Pick the specialty, the product, and the situation. Set the scoring criteria your cycle already uses. The builder is no-code, so your training team updates scenarios when the cycle materials change instead of filing a ticket.
Run the visit
A real voice conversation with an AI physician. The persona interrupts, checks the time, and pushes back on claims. Reps can run it as many times as they want, from any device, without booking anyone.
Debrief and repeat
After the session the rep talks through what happened with an AI trainer: where the visit was lost, what to say instead, what to try next. Then they run it again. No waiting for the next workshop.
Under the hood
What it takes to make a pharma persona hold up
The physician stays skeptical
Tell a language model to be skeptical and it holds for about three turns, then starts helping the rep. We keep the pressure on with a separate control layer that feeds the persona pushback as the conversation drifts, so the visit stays difficult from the first minute to the last.
Dosages and drug names come back right
Standard speech recognition breaks on pharma. Dosages split into separate numbers and product names turn into ordinary words. We tune recognition per therapeutic area, and we write pronunciation rules per product so the persona says the name correctly.
Objections come from the field
Objections are collected from real visits, not invented at a desk. That is why they land as familiar to reps, and why the answers they rehearse transfer to the actual call.
Scored against your criteria
Opening, needs discovery, argumentation, objection handling, close. You define the criteria and the weights. Every score points back to the moment in the transcript that produced it, so a trainer can verify it.
What you get out of it
Different answers for different people
Training and development
Certify the field without flying people in. Same scenarios, same criteria, same bar for everyone, with a record per rep. Onboarding gets a finish line you can point at instead of a feeling.
Commercial leadership
Readiness by region, by product, and by stage of the visit, before the cycle starts. Weak spots show up while there is still time to fix them, not in the quarterly numbers.
Marketing and brand
An objection map built from hundreds of practice conversations: what physicians push back on, how often, and where the argument runs out. That points straight at the gaps in your cycle materials.
Compared to
How field teams train today
| Approach | Covers the whole team | Repeatable on demand | Same criteria for everyone | Leaves data behind |
|---|---|---|---|---|
| Workshops and peer role play | no | no | no | no |
| Ride-alongs with a coach | no | no | partly | partly |
| E-learning and tests | ✓ | ✓ | ✓ | knowledge only |
| pichi.ai | ✓ | ✓ | ✓ | ✓ |
The simulator does not replace coaches or your LMS. It covers the part neither can do at scale: repeated practice under pressure, scored the same way for every rep.
The visit is a different conversation from a sales call, but the shape of the practice is the same one described in sales roleplay scenarios.
Included
What comes with it
FAQ
Questions we get from pharma teams
Will the AI physician feel real, or like a chatbot?
The persona pushes back. It is short on time, asks for the source behind every claim, brings up what a colleague prescribes, and gets distracted. Objections are written from real field visits, not from a generic script. The fastest way to judge it is to run one visit yourself on the demo call.
Our therapeutic area is narrow. Will generic scenarios work?
They will not, which is why we do not use them. We build the persona around your specialty, your objections, and your terminology. Speech recognition is tuned so dosages and drug names come back correctly instead of turning into random words, and pronunciation rules are written per product.
How much work is this for our team?
Your side is the materials and sign-off on the scoring criteria. We build the first scenarios. After that your training team edits and adds scenarios in the no-code builder. No developers, no IT integration, and reps train from any device.
How does this fit with field coaching and ride-alongs?
It does not replace them. A field coach can only sit in on a few visits a week. The simulator covers the whole team, every day, against the same criteria. Coaches then spend their time on the people the data says need it.
Can we trust the scores?
Every score points back to the moment in the conversation that produced it, so a trainer can open the transcript and check it. We recommend calibrating on a small group first: score a set of sessions manually, compare, and adjust the criteria before you roll out.
Is compliance a problem?
Sessions are simulations. No patient is involved and no real physician is recorded. You control what claims a rep is allowed to make, and the debrief flags when a rep goes past the approved message.
What does it cost?
It depends on the number of licenses and how deep the customization goes. We scope it after the demo, and we start with a pilot so you see the numbers before a full contract.
Other solutions
Same engine, different conversation
Sales teams
Negotiation practice and objection handling for reps, with analytics per person.
See the solution →Real estate acquisitions
Cold call practice for teams that call sellers, including remote callers.
See the solution →Managers
Assessment and practice for difficult management conversations.
See the solution →Run one visit yourself
Thirty minutes. You talk to the AI physician, then we look at the scoring together and scope a pilot for your field team.