Perceptyx Launches Develop, an AI Learning Validator

In Brief

• Develop uses AI agents to measure comprehension as learning happens.
• Completes Perceptyx's People Activation System for insight, capability and behavior change.
• Gives leaders evidence-backed data on workforce skills and capability gaps.

Employee experience company Perceptyx today launched Develop, a five agent learning system designed to both deliver training and measure comprehension as learning happens. At its core are three Live Learning Agents — the Tutor, which runs adaptive Socratic dialogue; the Evaluator, which scores learner responses against objectives in real time; and the Development Advisor, which synthesizes each session into a transcript-grounded learning record. The product expands the company’s broader “People Activation System,” which combines employee listening, coaching, behavioral activation and learning into a single platform.

Develop also transforms enterprise content into adaptive, conversational learning experiences. Rather than relying on post-training testing or course completion rates, the system continuously assesses comprehension against defined objectives. It generates comprehension scores and evidence-backed learning records intended to give organizations a clearer view of workforce capability development and applied skill acquisition.

“Most learning tools still measure whether people learned through tests, a holdover from the LMS era,” Bersin said in a statement accompanying the launch. “By using AI to assess skills through conversations, Perceptyx Develop can give companies new, meaningful insights into management strengths, weaknesses and individual development needs.”

Table of Contents

• Perceptyx Expands Workforce Activation Strategy
• How Perceptyx Develop Measures Workforce Learning
• Enterprise Learning Moves Beyond Completion Metrics
• Governance Questions Follow AI Learning Expansion

Perceptyx Expands Workforce Activation Strategy

The product launch marks another step in Perceptyx’s broader transformation from an employee listening vendor to an AI workforce activation platform provider. Since mid-2025, the company has expanded aggressively into AI coaching, workforce intelligence and adaptive learning systems under CEO Ross Wainwright, who succeeded co-founder John Borland last year.

That strategy accelerated in March with the acquisition of Lyceum AI, an AI-native learning platform focused on conversational skill development and real-world competency validation. Earlier platform launches included AI coaching and activation agents designed to operate inside collaboration platforms such as Slack and Microsoft Teams.

How Perceptyx Develop Measures Workforce Learning

Capability	Description
Real-time comprehension measurement	AI agents assess understanding as learning unfolds
Conversational learning experiences	Transforms static content into adaptive one-on-one dialogues
Objective-level scoring	Generates comprehension scores tied to defined objectives
Evidence-backed learning records	Produces auditable trail of demonstrated learning

Enterprise Learning Moves Beyond Completion Metrics

The launch reflects a broader shift underway as enterprises move beyond traditional learning management systems toward adaptive, AI-based experiences embedded directly into daily work. Rather than structured coursework delivered separately from work itself, vendors increasingly position AI systems as embedded coaching and performance guidance layers integrated into everyday workflows.

Perceptyx framed today's launch as a solution to what it describes as a persistent disconnect in enterprise learning. According to company research, more than 80% of employees prefer learning in the flow of work, while most organizations still measure participation activity rather than demonstrated capability or business impact.

Perceptyx also cited research from Josh Bersin, which found organizations spend more than $400 billion annually on corporate training, yet most still struggle to determine whether employees can apply what they have learned in practice. 

Governance Questions Follow AI Learning Expansion

That evolution, however, introduces governance and workforce transparency concerns alongside new measurement capabilities. Systems that generate auditable learning trails, conversational interactions and behavioral development records also create detailed profiles of how employees think, learn and respond inside enterprise environments.

As organizations deploy AI agents deeper into workforce operations, governance questions are becoming inseparable from learning strategy itself. The same interaction data that validates skills and capability growth can also expose sensitive behavioral patterns, reasoning processes and decision-making habits if oversight policies are poorly defined.

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