Sales training is nothing new in the pharma field force. Conversation preparation, objection handling, joint visits and feedback have been part of everyday work for years.
That is exactly why the first reaction to an AI coach is not automatically enthusiasm.
Anyone who has worked in the field for years and completed numerous trainings rightly asks:
Why should I suddenly practise with an AI?
The example from the Covendos podcast shows when this scepticism can turn into concrete benefit – and why AI coaching should not replace personal coaching.
Scepticism is a sensible starting point
In the podcast, a field force representative with around eight years of experience talks about their first reaction to the AI coach.
They had already completed numerous sales trainings and at first expected little that was new. Their idea: a digital quiz, multiple-choice questions and a green tick at the end.
Reality turned out differently.
In the first simulated conversation, they started with their usual argument. But the virtual doctor did not simply react in a friendly, predictable way. Instead, the doctor interrupted the argument with a critical follow-up question and wanted to know why a particular statement was made and whether it could be backed up with data.
That changed the situation.
It was no longer about recalling knowledge.
It was about reacting spontaneously in a conversation.
The first run does not have to go well
That is exactly where the real learning effect lay.
On the first attempt, the argument faltered. The conversation did not go as planned.
Instead of seeing this as a failure, it became the next training step:
End the conversation.
Look at the feedback.
Understand where the argument tipped over.
Start again.
On the second attempt, the conversation developed differently. The critical moment could be handled more calmly and the conversation brought to a more coherent ending.
That is a significant difference from many classic training formats:
Practice and repetition can follow each other immediately.
Not only at the next training. Not only at the next joint visit.
Training when the need arises
This advantage becomes particularly clear when preparing for specific doctor conversations.
In the podcast, the field force representative describes a situation on the evening before a demanding appointment. They knew that the doctor tends to ask critical questions and expected a particular objection.
At that point, no colleague was available to run through the conversation once more.
With the AI coach, exactly this situation could be simulated at short notice and the expected objection trained in a targeted way.
The next morning, they went into the appointment with a different feeling.
The key benefit is therefore not only the digital format.
It is availability at the right moment.
Classic coaching remains occasional
From a leadership perspective, too, this creates a new situation.
The regional manager described in the podcast spent around twelve years in the field force themselves and is now responsible for a team of 14 people.
Their tasks include joint visits, feedback conversations and the long-term development of their team.
But personal coaching has a natural limit:
A manager cannot be present at every doctor visit.
In the example, coaching so far often meant: a joint visit, feedback – and then possibly four or six weeks until the next joint appointment.
Development does take place in between, but not always with direct training support.
An AI coach can complement exactly this gap.
When a team member notices that a particular objection is not yet secure, they can repeat the situation on their own, without having to wait for the next joint visit or a scheduled training.
From occasional training to a more continuous process
This does not necessarily change personal coaching itself.
What changes is what is possible between the personal coaching moments.
Fundamentals can be practised more often. Difficult conversation situations can be repeated. Specific objections can be trained immediately.
In turn, this can give managers more room to use personal coaching in a more targeted way.
In the conversation, the regional manager sums it up roughly like this:
Occasional training becomes a more continuous process.
Coaching or control?
This is where the podcast asks one of its most important questions:
If managers can see training results – when is it still coaching, and when does it become control?
This question cannot be answered by technology alone.
What matters is the purpose for which training data is used.
In the conversation, the regional manager draws a clear line:
Using results to recognise where someone needs support and to focus personal coaching more precisely on it is something different from a pure performance assessment.
This makes the handling of training data a central question when introducing an AI coach. What matters is whether the results are used to recognise where support is needed and to focus coaching more precisely – or whether they turn into pure assessment and control.
What AI cannot replace
The second central question is also asked openly in the podcast:
Is a manager still needed at all if an AI can coach constantly?
The answer is clear.
An AI can simulate conversation situations, enable repetition and give feedback on individual wording.
What it cannot do:
- know a person over years,
- accompany their individual development in the overall context,
- extend trust,
- motivate,
- or understand the entire territory and its particularities.
These tasks remain part of personal leadership.
The AI coach does not replace personal coaching.
It complements it.
From training calendar to training moment
Perhaps this is where the biggest change lies.
Classic training often follows an appointment:
the next training or the next joint visit.
An AI coach shifts the focus more towards the actual need:
What do I want to get better at right now?
If a demanding conversation is coming up tomorrow, there is still time to practise tonight.
If a particular objection repeatedly causes difficulty, there is no need to wait several weeks for the next coaching appointment.
It can move it closer to the moment when learning is actually needed.
AI coaching works with personal leadership, not against it
The most important point from the conversation is therefore not a technological one.
It is about understanding roles.
AI coaching should not be introduced as a substitute for personal leadership.
Its benefit arises where it enables repetition and independent training – while personal leadership continues to provide context, trust, motivation and individual development.
That is how scepticism can turn into a tool.
Not because AI is the better manager.
But because employees can train more often at exactly the moment they actually need it.
Listen to the podcast
The full episode “AI-Coach im Außendienst: Vom Zweifel zum Werkzeug” is available in German.
Duration: approx. 7 minutes