Cresta Launches Synthetic Customers for AI Training

Cresta helps enterprises create AI-generated customer personas from real conversations to improve testing, training, and customer insights.

Cresta has launched Synthetic Customers, a new capability that creates realistic and evolving customer personas directly from an enterprise’s conversation data. The solution is designed to support AI agent testing, human agent training, and customer insight generation using historical customer interactions rather than traditional persona-building methods.

Most organisations build customer personas using surveys, CRM records, support tickets, and market research. According to Cresta, these sources can be fragmented, incomplete, and quickly become outdated. Synthetic Customers uses historical conversation data to create evidence-based personas that evolve as customer behaviour changes over time.

“The data that enterprises need to build accurate customer personas for better testing, training, and decision-making is right in front of them, at their fingertips. It lives in every call, chat, or email conversation. With Synthetic Customers, enterprises can finally put all that data to work to truly understand their customers, prepare for how they actually behave, and serve them better across every channel,” said Ping Wu, CEO, Cresta.

Synthetic Customers automatically mines historical conversation data to identify customer behaviours, language patterns, actions, and emotional signals. The capability is designed to capture elements such as frustration, impatience, topic shifts, and unpredictability that are often missing from conventional customer personas. Cresta said the personas continuously evolve as customer behaviour and market conditions change.

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Supporting Testing, Training, and Customer Insights

According to Cresta, Synthetic Customers can be applied across several customer experience and contact centre functions.

The capability supports:

  • AI agent simulated testing using customer personas based on real-world interactions
  • Human agent training through dynamic role-play scenarios
  • Simulated customer interviews to evaluate reactions to business changes
  • Customer insight generation based on historical behavioural patterns

The company said the capability integrates directly with Cresta’s AI Agent automated testing suite, helping organisations expand testing coverage and identify edge cases before deploying AI agents in live customer environments.

For human agent training, Synthetic Customers enables practice scenarios that mirror real customer conversations, helping agents prepare for sales, service, and retention interactions. The company said the approach can support onboarding, skill development, and situational training programmes.

Creating Dynamic Customer Representations

Synthetic Customers can also be used to model customer responses to new products, policy changes, and messaging updates before they are introduced to the market. In addition, organisations can analyse persona-specific behaviours and receive AI-generated recommendations aimed at improving customer experiences and reducing recurring issues.

“What we’re announcing today is just the start; accurate AI representations of customers can be used for everything from incident planning to market research. The use cases for Synthetic Customers are endless,” said Wu.

The launch reflects growing enterprise interest in using conversation intelligence and AI-generated simulations to improve customer understanding, agent readiness, and customer experience decision-making across service operations.

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