The AI playsa buyer who challenges the price at the end of a negotiation
Goal : Hold the value and offer a trade-off rather than a plain discount.
Sales cycles are getting longer, buyers arrive better informed, and sales teams must handle increasingly complex situations. Classic training passes on methods, but sales excellence is built through practice.
With Hellia, your salespeople train against realistic virtual customers: recurring objections, tense negotiations, tight closings. Every simulation ends with targeted feedback on your criteria, aligned with your internal methodologies.
Your teams progress faster, with reflexes firmly anchored before the real meeting.
Customers arrive informed: classroom methods are no longer enough to hold the exchange.
A pitch is mastered by delivering it out loud, not by reading it.
Without a shared grid, every salesperson progresses on their own reference points.
Training generated from your sales training material
Key points reactivated between sessions
Knowledge checked, gaps corrected
Practice on the situations below
The AI playsa buyer who challenges the price at the end of a negotiation
Goal : Hold the value and offer a trade-off rather than a plain discount.
The AI playsa prospect who postpones the decision without a clear reason
Goal : Surface the real blocker and set a dated next step.
The AI playsa satisfied customer to whom you offer a complementary product
Goal : Link the proposal to an expressed need and close.
Scenarios adapted to your procedures and internal vocabulary.