Novartis

Novartis: Ready for Launch, Three Months Sooner

100%
Of the Field Force Certified Within the Launch Window
4.1 to 4.5
Average Score Out of 5, Practice to Certification
564
AI Roleplay Sessions in About Two Days
Blue globe displaying Africa, Europe, and parts of Asia with glowing city lights on a black background.

When FDA momentum pulled an oncology launch forward by three months, Novartis could no longer certify reps in person at the launch meeting.

The training team moved certification to virtual, on-demand AI roleplay and kept the standard: reps had to show they could carry the launch strategy into a real HCP conversation.

Every rep certified within the window, most after practicing well past the minimum.

The Challenge: When the Launch Date Moved, the Old Certification Plan Broke

A launch that moved up three months

Novartis Oncology was preparing an experienced field force for a new indication in its radioligand therapy portfolio. Strong signals from the FDA pulled the launch training timeline forward by about three months.

The division had always certified reps in person at the launch meeting. Now approval was expected to land before that meeting, and reps could not discuss the new indication until they were certified. The original plan, in-person certification run by trainers and field leaders room by room, became virtual certification in a 24 to 48 hour window.

Virtual certification, same rigor

Running the same certification virtually was possible. The training team saw the risk: it would depend on trainers, field leaders, and cross-functional partners deep in their own launch work.

A higher bar than knowing the label

Moving into an earlier line of therapy changed how reps had to talk with customers. They had to make the case for an unmet need against a strong standard of care, and identify the right patients in a much more varied population.

“Competency alone was not going to be enough to demonstrate readiness.”
Keenan Stare, Product and Disease Training Manager, Novartis

The Approach: Four Decisions Behind the Program

1. Defined readiness as execution, not recall

Readiness meant fluency across the disease state, patient journey, product, and marketplace, used in a real HCP conversation. Scoring followed the four sales capabilities Novartis already coaches to, so results fed straight into first-line coaching.

“It wasn’t enough for our team to simply understand or memorize the disease state data and clinical statistics. It was more important for them to transform that into impactful and compelling customer dialogues.”

2. Chose AI roleplay for objectivity and scale

Novartis already used Quantified for knowledge assessments, and colleagues had piloted AI roleplay. Three things decided it:

  • Flexibility. Peers had built scenarios for HCPs and non-prescribing stakeholders across many business goals.
  • Objectivity. Every rep scored on the same criteria, tied to the Novartis selling model, not one evaluator’s judgment.
  • Efficiency. On-demand certification inside the window, with a leader dashboard tracking every rep in real time.

3. Built scenarios around anchors, not scripts

Two scenarios covered the conversations that mattered most for the launch strategy:

  • Scenario 1: Unmet need. An HCP mildly indifferent to the unmet need and confident in the current standard of care, with objections to match.
  • Scenario 2: Patient identification. An HCP who pushed reps to show which patients in a varied population were at greatest risk of progression.

The AI customer got beliefs and biases, not a script. Approved materials shaped each scenario, and off-label questions were flagged for referral. Pointed only to NCCN and AUA guidelines, it used them to defend its current practice.

“When I first tested the model, I expected it to feel easier than role-playing with a peer. But it really wasn’t.”

4. Rolled out in three phases

  • Before approval. A small task force from training, marketing, and sales leadership chose the scenarios, customer types, and objections. They also set aside time for testing.
  • At approval. A formal introduction and clear expectations, then a pre-call planning worksheet. The next day, first-line leaders ran local workshops to refine each plan.
  • After approval. Certification opened on demand. Reps were asked to practice at least three times first, with two attempts allowed. Training leads tracked completion live.

Senior leaders reinforced the expectation at every touchpoint, so it was an organizational standard and not only a training request.

“We’ve been in situations in the past where we’re depending on pieces of paper coming from 18 different rooms, from 18 different evaluators, all having to funnel back to one place.”

The Results: Every Rep Certified, With Practice to Spare

All 114 specialists certified within the launch window. In about two days they completed 564 AI roleplay sessions, roughly 151 hours of practice. The average rep practiced more than 4.5 times before certifying, against a minimum of three, and some practiced as many as 12 times. The average score rose from 4.1 out of 5 in practice to 4.5 at certification.

Skepticism faded once reps started

  • Fear of being watched. Resolved quickly: no video is kept, and the transcript exists so a rep can dispute a score.
  • Doubt that AI felt real. Resolved by practice: reps wrote in praising how real-world the conversations felt.

For the Training Team: Manual Coordination, Replaced by One Dashboard

Building and testing the scenarios took real effort before approval. After that, certification ran itself: reps practiced and certified on demand, and results arrived in real time.

Off the training team’s plate: lining up trainers, MSLs, and leaders; scheduling sessions and invites; collecting scorecards from every room; compiling scores by hand.

In its place: on-demand certification with no scheduling; the same objective scoring for every rep; real-time results by rep, team, and region; a dashboard flagging who isn’t certified.

“The investment is heavier on the front end, and it’s incredibly light on the back. Overall, I would say it saved me an immense amount of time.”

Where it started: 2024

The division’s training team first used Quantified when the field force doubled and onboarding was cut from five weeks to just over two. More than 150 new specialists and 18 field leaders practiced and completed their verbal assessments with AI roleplay, without pulling existing leaders out of the field. In that program, 95% passed on the first attempt, assessment scores rose 59% on average after practice, and learners averaged 16 practice sessions each.

Lessons for Training Leaders: Advice for Teams Facing a Compressed Launch

  • Start with the “what.” Name the two or three capabilities reps must execute at launch, and agree with leadership to leave the rest off the certification.
  • Bring the field into scenario design. Real-world input on customer challenges and demeanor makes practice relevant and builds buy-in.
  • Protect time for testing. Quality checks matter most in a launch, when only a few people can see the final materials.
  • Introduce it before you require it. Reps who understood the AI roleplay experience early engaged with more confidence.
  • Make leaders own the mandate. Practice lands when it’s an organizational expectation, not a training request.
  • Fit the format to the moment. Virtual or live, AI roleplay gives each rep more practice per hour than peer roleplay, with more consistent scoring.

Your Next Launch: Certified on Time, Without Lowering the Bar

See how a launch certification scenario is built, practiced, and scored in Quantified’s AI roleplay, using your launch strategy and approved materials. See a launch certification scenario.

"It wasn’t enough for our team to simply understand or memorize the disease state data and clinical statistics. It was more important for them to transform that into impactful and compelling customer dialogues."
– Keenan Stare, Product and Disease Training Manager, Novartis

The results:

  • 100% of the field force certified within the launch window
  • 564 AI roleplay sessions completed in about two days
  • Average score rose from 4.1 to 4.5 out of 5, practice to certification
  • Reps practiced 4.5 times on average before certifying, against a minimum of three
Industry
Pharmaceuticals
Company name
Novartis
Number of employees
75,883
Solution
AI Roleplay for Launch Certification