Adaptive Track

AI closes the loop
between theory and practice.

A trainee takes a course. Misses the evaluation. AI identifies which competencies they were weak in. It then generates, automatically, a personalized roleplay template to practice exactly those gaps. The manager reviews and publishes. The trainee runs it.

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How it works, step by step.

No magic. Four predictable stages, each observable by the manager.

Course in Academy

Trainee walks through the chapters and takes the final evaluation, multiple choice + open-ended.

Gap diagnosis

AI maps every wrong answer to the competencies that question tested. No keyword guessing, only what the template declared.

Mapped to your framework

The gaps are placed in your competency matrix, not in a one-size-fits-all catalog.

Roleplay generated

A template is auto-created with persona, scenario and criteria. The manager reviews, publishes and assigns. The trainee runs it.

Real example

"João missed 40% of the Anchoring questions in the quiz."

Instead of asking him to retake the entire course, the Adaptive Track generates a negotiation roleplay focused on price anchoring, with a specific scenario (a customer asking for an unexpected discount). After he runs it:

Anchoring jumped to 78% on the next diagnostic. No 8-hour course redo. No coordinator hand-holding.

Breaks the "trained and forgot" cycle, a classic in pharma and banking, as reported in a pilot with a large regional bank.

Anchoring (before the roleplay) 40%

Adaptive track completed

Anchoring (after the roleplay) 78%

What makes this possible.

The Adaptive Track only works because the evaluation is anchored in your competency framework. Otherwise, it's just "another AI guessing".

Criteria locked when the session starts

When a trainee is enrolled in the course, the evaluation criteria are locked to that framework version. Even if you edit the framework later, their evaluation stays on the original criteria. No noise, no rubric drift mid-flight.

Mandatory manager validation

AI never publishes a roleplay on its own. The generated template lands in the manager's queue, who reviews persona, scenarios and criteria, editing anything they want. It only ships if the manager approves. Compliance sleeps easy.

Manual or automatic, per course

Configure per course: in manual mode, the platform shows the suggestion and the manager decides case by case. In automatic mode, the platform generates and publishes after review. You pick how much automation to delegate.

Auditable end to end

The generation logs: which questions were wrong, which competencies were mapped, which instructions the AI used and which framework version. For regulatory audit, the entire cause-and-effect chain is on record.

Availability