Federated artificial intelligence infrastructure platform provider Axonis Inc. today announced the launch of Axonis Decision Intelligence, a new platform capability that allows enterprises to operationalize AI-assisted decision-making at scale by capturing and preserving the full context behind how decisions are made in a living system of record.

AI systems have become adept at generating answers, recommendations and predictions, but they lack a reliable way to explain how a specific decision was made in a given situation, particularly when data spans multiple systems, teams and policies. Decision Intelligence closes the gap by providing enterprises with guardrails to connect AI output to accountability while maintaining ownership of valuable context and human-in-the-loop accountability.

“To operationalize AI at scale, enterprises need more than answers; they need a trusted decision workflow that they own,” said Chief Executive Todd Barr. “Axonis Decision Intelligence ensures the intelligence created through AI-assisted decisions remains an enterprise asset that can be trusted, defended and reused.”

Decision Intelligence is built on Axonis’ AI-native federated architecture to bring AI to the data rather than centralizing sensitive information. The platform operates across cloud, on-prem, edge, air-gapped and intermittently connected environments to enforce security, policy and access controls where data already lives.

The new capability sits directly in the execution path where data is accessed, policies are evaluated and actions are taken to capture the full decision context as it unfolds. The structural position delivers a record decision trace in a real-time context graph, rather than reconstructing them later through logs or ETL pipelines.

“Modern application development is hitting a ‘trust wall’ where the speed of AI output is outstripping an enterprise’s ability to govern it,” said Paul Nashawaty at SiliconANGLE Media’s theCUBE Research. “Our research shows that while 2025 was the year of AI experimentation, 2026 is the year of accountability. Axonis is addressing the critical missing link in the stack: a living system of record that treats the ‘why’ behind a decision as a durable asset.”

Decision Intelligence provides an intuitive, fully customizable role-aware interface for operators, analysts, clinicians, case managers and risk professionals so that they can review evidence, apply judgment and formally attest decisions to create an explicit record of who approved what and why. Security and governance are enforced automatically in the background.

Alongside the launch of Decision Intelligence, Axonis also today introduced Axonis enterprise federated MCP, a secure, federated implementation of the Model Context Protocol. With the new MCP offering, Axonis embeds MCP directly into its federated AI platform. Every agent interaction flows through Axonis’ secure backend, where data-level security, attribute-based authorization and role-aware access controls are applied consistently across humans, models and agents.

“By embedding the Model Context Protocol into a federated architecture, Axonis isn’t just making AI faster; they are making it auditable and sovereign, which is the only way highly regulated industries will ever move from AI pilots to full-scale operational reality,” added Nashawaty.

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