Agent Interoperability Explained for Executives

Interoperability sounds like a technical preference and behaves like a commercial position. Whether your connectors, specifications, and agents can move between platforms determines your switching cost, your negotiating leverage, and how much of your integration spend is an asset rather than a sunk cost inside someone else's product. This explainer covers the standards, what they change, and what to require.

What is the interoperability problem?

Agents need to reach business systems. Historically each agent platform provided its own connectors in its own format, so integration work done for one platform was worthless on another. A company with fifty integrations inside one vendor's product cannot realistically move, which the vendor knows.

Standards change that by separating the connector from the platform: build a governed connector once, and any conforming agent can use it. The MCP explained for executives piece covers the main standard in this space.

What do the current standards cover?

Layer	Standard status	What it enables
Tool and data access	Model Context Protocol, broadly adopted since 2024–2025	One governed connector per system, reusable across agents and vendors
Model access	De facto API conventions plus gateways	Model switching without touching agents
Agent-to-agent communication	Early, multiple proposals	Agents from different organizations collaborating
Identity for agents	Emerging, built on existing identity standards	Attributable, governable agent identities
Evaluation and evidence formats	Immature	Portable proof of system behavior

The practical position for 2026: tool access is standardized enough to require, model access is manageable with a gateway, and agent-to-agent protocols are worth watching rather than betting on. The whitepaper on agent interoperability standards covers the landscape in depth, and what is agent-to-agent protocol covers that emerging layer.

Why does this matter commercially?

Because switching cost determines negotiating position. A company whose connectors are portable, whose specifications and evaluation sets are its own, and whose model access runs through a gateway can move platforms when pricing or capability changes. Its vendor knows this, and the relationship is different.

A company whose integrations exist only inside one vendor's product is negotiating from a position where leaving means rebuilding, which is not a credible threat. The LLM vendor lock-in guide covers the model-provider dimension; the connector layer is the one companies more often neglect.

What should executives require in procurement?

Five things, written into the contract:

1. Standards support where they exist, specifically for tool and data access.
2. Export of configurations, prompts, connector definitions, workflows, and evaluation assets in usable formats.
3. No proprietary lock on connectors the customer built or paid for.
4. Documented APIs for anything the standard does not cover.
5. Exit assistance as a contractual obligation with a defined scope.

And one question in the evaluation: "walk us through how we would migrate away from you." A vendor that answers clearly is confident in its value; one that cannot is relying on lock-in. The how to sunset an AI vendor guide covers the exit planning.

What does good internal practice look like?

Build connectors to the standard, not to a platform. Keep specifications and evaluation sets in company repositories, not in a vendor's console. Route model access through a gateway. Treat the connector catalog as a company asset with an owner, because it is the layer that makes each new agent cheaper than the last. The agentic AI value chain piece explains why this layer is standardizing and what that implies for build-versus-buy.

What are the risks of standards adoption?

Security. A standard that makes connectors reusable also makes them reachable; governance at the gateway is essential rather than optional. The MCP security risks guide covers the specifics.

Premature commitment. Adopting an unsettled standard for critical workflows can create the lock-in it was meant to avoid. For agent-to-agent protocols specifically, design for optionality.

Standard-washing. Vendors claiming support while implementing a subset that does not actually interoperate. Test it rather than accepting the claim.

How does this interact with security?

Interoperability widens what is reachable, so governance has to keep pace. The same standard that lets any approved agent use a connector would let any unapproved one, absent enforcement, which is why the gateway and the approved-server catalog matter more once standards are adopted than before. The right sequence is to adopt the standard and the control point together: a company that standardizes its connectors without a gateway has made integration cheaper and governance harder at the same time, which is usually discovered during the first security review rather than at design time.

What should executives ask?

• Which of our integrations could be reused if we changed agent platforms?
• Do we own our connector definitions, specifications, and evaluation sets?
• What would a migration away from our main vendor involve, concretely?
• Does our procurement require standards support and export?
• Who owns the connector catalog as an asset?

How can FISTA Solutions help?

FISTA Solutions builds connectors to open standards with governance at the gateway, keeps specifications and evaluation sets in client repositories, and delivers AI agents that are portable across platforms and providers, through its AI enablement practice. As an official Anthropic partner that builds model-agnostic systems, FISTA has direct experience of the standards in production. Since 2017, FISTA has delivered 150+ projects for 50+ companies across 12+ countries.

To assess how portable your current AI estate is, talk to FISTA on WhatsApp, or read MCP explained for executives.