interop.io joins the Agentic AI Foundation as a Silver Member

What is the Agentic AI Foundation (AAIF)?

The Agentic Artificial Intelligence Foundation (AAIF) is a Linux Foundation initiative launched in December 2025 to establish open standards for how AI agents communicate with tools, data, and enterprise systems.

AAIF brings together leading technology companies and open-source projects to define how agents coordinate, operate, and integrate across systems under neutral governance. Founding members include Anthropic, OpenAI, Google, Amazon Web Services, and Microsoft. Early project contributions include Model Context Protocol (MCP), goose, and AGENTS.md.

Why AAIF matters

Agentic AI is moving quickly from experimentation to production. But as enterprises attempt to deploy agents at scale, familiar challenges are surfacing: fragmented tooling, proprietary interfaces, inconsistent security models, and unclear governance.

AAIF was created to address these challenges directly by providing a neutral, open foundation where agent protocols can evolve collaboratively.

For interop.io, this moment is significant. It signals that the industry is aligning around open approaches to agent-to-tool communication—while also acknowledging that real-world enterprise requirements must shape how these standards mature.

From FDC3 to agentic AI

interop.io has spent years helping financial institutions solve a core problem: too many critical applications that don’t work together.

Our co-founding of and contributions to FDC3 (a FINOS project under the Linux Foundation) showed that modern workflows only scale when standards are interoperable and shaped by real-world governance requirements. FDC3 gained traction by working reliably inside regulated, production environments.

We see AAIF as the next chapter in that story.

Just as FDC3 standardized application interoperability, AAIF has the potential to standardize how agents interact with tools, data, and workflows—without forcing enterprises into a single vendor, framework, or execution model.

How interop.io contributes to AAIF

We launched io.Intelligence in September 2025 to help firms bring AI into production workflows they already trust. Not as isolated copilots or chat experiments, but as systems that can take action across desktops, browsers, and enterprise applications—securely and with governance.

Through our participation in AAIF, we are focused on one core objective: making agent standards workable in production environments.

That includes contributing real-world enterprise feedback on issues such as:

• Security and permission models required in regulated environments
• Why some emerging protocols (such as MCP) are stuck in review inside enterprises and how to address valid deployment concerns
• How agents should interact with existing interoperability layers, rather than bypassing them
• Patterns for rendering agent-driven experiences inside workflows—not just chat interfaces

Our perspective is shaped by deployment reality rather than demos. Many enterprises want the benefits of agentic systems, but cannot adopt protocols that bypass compliance, observability, or control. Closing that gap is where we intend to contribute.

What this means for the industry

The formation of AAIF under neutral governance marks an important shift. Agent infrastructure is maturing, and enterprises can now engage with greater confidence—knowing these standards are being shaped in the open, with input from vendors, practitioners, and end users.

The next phase of agentic AI will not be won by the most novel framework, but by the standards that integrate cleanly into existing systems, workflows, and controls.

Looking ahead

interop.io is committed to helping advance the AAIF ecosystem by sharing what we learn from production deployments and advocating for standards that work in the real world: complex permissions, regulated data, and enterprise scale.

With open standards and neutral governance in place, organizations can move forward with confidence—and interop.io is here to ensure AI agents fit seamlessly into the interoperable workflows enterprises already rely on.