Pearson Considers New Platform to Credential AI Agents, CTO Says

Education and publishing group Pearson is exploring the creation of a platform to verify and credential artificial intelligence agents, aiming to certify that the systems are fit for purpose in a corporate environment. The initiative would extend the company's long-standing assessment business from testing people to evaluating AI, Chief Technology Officer Dave Treat told Investing.com.

A New Frontier for Assessment

According to Treat, the goal is to determine if an AI agent is "ready, safe and fit for purpose" before being deployed within a business. This move seeks to address a growing need for trust and reliability as companies integrate more AI into their workflows.

"We're exploring building a verification framework and credentialling platform to do exactly that," Treat commented. "Assessment has always been at Pearson's core, but AI has expanded the universe of things that need to be assessed." The strategy follows Pearson's recent acquisition of ITS, a Baltimore-based assessment technology firm, to enhance its verification capabilities.

AI Seen as Tailwind Amid Market Concerns

While some investors have expressed concern that free AI tools could displace paid educational content, Pearson's leadership views the technology as a "significant tailwind." Treat argued that as AI reshapes the labor market, the demand for trusted skills validation and credentialing will rise.

Ad

He stated that Pearson's business model is well-insulated from the disruption affecting purely digital companies. About 90% of the company's profits, he noted, derive from "operationally complex physical and digital workflows and print." Treat added, “We are realistic about the disruption AI may create... But Pearson’s business is fundamentally different.”

Internal Efficiencies and Revenue Growth

Pearson is also leveraging AI internally to drive significant cost savings and operational improvements. Treat detailed several key gains contributing to medium-term margin improvement:

• Content editing times reduced by at least 40%
• Translation costs lowered by nearly a third
• Content alignment costs cut by a quarter
• Queries handled by human support agents reduced by around 40%

On the revenue side, Treat pointed to multi-year agreements with technology companies that have locked in "hundreds of millions of dollars" in revenue through 2030. He also highlighted that the company's Inclusive Access model grew 20% in the first half of 2026 and now represents 50% of its U.S. core courseware business.