TM Forum and Accenture Launched AI Governance Certification
The framework aims to bridge the gap between perceived AI trustworthiness and verifiable metrics for operators.
Updated on Oct. 6, 2026 in Artificial Intelligence
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TM Forum and Accenture have established the Trustworthy AI Governance Certification, an industry-standard framework designed to benchmark governance maturity in autonomous systems. The initiative launched through the AI-Native Collaboration Studios to provide methods for managing risk as organizations delegate more decisions to artificial intelligence.
Why it matters
Firms face increasing pressure to prove business results from AI while ensuring the safety of autonomous decision-making. This framework addresses the disconnect between internal trust perceptions and the technical capability to verify those systems.
While 72% of communications service providers report high confidence in their AI, only 14% possess the internal mechanisms to verify these capabilities. This certification provides a structured framework to close this 58-point gap by benchmarking governance maturity.
The players
TM Forum
An industry association focused on digital transformation and standards for communications and technology firms.
Accenture
A global professional services firm specializing in digital, cloud, and AI consulting for enterprise technology stacks.
Guy Lupo
The leader of the Trustworthy AI and Data mission at TM Forum.
The details
The program utilizes TM Forum’s AI-Native Collaboration Studios, a co-creation platform that develops code-first solutions. The framework functions as a measurement tool that assesses governance maturity, allowing firms to manage risk as they scale autonomous operations. By applying these standards, organizations aim to accelerate the approval process for new AI use cases.
Timeline
2025: Guy Lupo joined TM Forum to lead the Trustworthy AI and Data mission.
October 6, 2026: TM Forum and Accenture launched the AI governance initiative.
The Tech Race
The certification follows the operational model set by TM Forum's AI-Native Collaboration Studios to standardize industry-wide autonomous systems. It marks a shift from experimental AI deployment toward formalized, auditable governance benchmarks.
Communications providers can now adopt this framework to formalize their internal risk management and verify the reliability of their AI systems. Organizations that implement the certification are expected to see faster approval cycles for new AI use cases by replacing manual oversight with standard benchmarks.
The takeaway
This certification highlights the urgent industry move to align subjective confidence in AI with objective, verifiable governance data. Observers should track the rate of adoption among communications service providers to see if verification capabilities rise toward the 72% trust benchmark.
Further reading
For broader context on how industries are standardizing these models, explore the latest developments in Artificial Intelligence.
Source note: This article includes information reported by Telecoms.
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