Human-Centered AI & Interoperability: Bring Intelligence into Workflows

AI adoption doesn’t have to mean disruption. Learn how interop.io enables Human-Centered AI through interoperability — so you can scale AI safely, inside the tools your team already uses.

Today’s organizations are looking for ways to take advantage of powerful new AI capabilities while preserving the workflows and systems their teams already trust. At interop.io, we’ve uncovered how interoperability can create new possibilities for your AI strategy through a augmented, human-centered approach.

What is Human-Centered AI?

Human-Centered AI ensures that AI is embedded into workflows as a smart, responsive assistant — surfacing relevant insights, taking action when prompted, and supporting decision-making throughout multi-step processes. When paired with interoperability, this approach allows AI to operate inside the applications, systems, and workflows your team already knows — making it easier to adopt and safer to scale.

Is this the same as Human-in-the-Loop?

There can be some overlap, as both approaches involve collaboration between humans and AI. But the key difference lies in when the human participates.

In Human-in-the-Loop systems, the process is designed around an AI acting independently, with the human stepping in primarily to review or approve the outcome. This model values autonomy in the AI, with the human serving as a checker or gatekeeper — typically at the beginning to set parameters, and at the end to approve or reject results.

Human-in-the-Loop has become especially important alongside the rise of autonomous AI agents (also known as agentic systems), which are designed to perform tasks with minimal human involvement. In these cases, humans often act as supervisors or trainers, intervening only when the system needs adjustment or validation.

Human-in-the-Loop is important to AI and human processes, but when you add interoperability to the mix, the AI and human relationship extends to a collaborative partnership.

With Human-in-the-Loop models, humans:

Define a task for the AI to complete
Wait for the AI to work through the process
Review and approve (or reject) the final output
Accept that the AI works in isolation

With Human-Centered AI, humans:

Work together throughout the entire decision-making process, using familiar tools and applications.
Remain the central orchestrator of the workflow, with AI acting as a trusted assistant.
Use AI to offer insights, assistance, and take direct action inside user applications in real time.
Collaborate inside existing applications, interfaces, and standards (such as FDC3), instead of new platforms.

Interop & AI: Building a Strategic Foundation for the Future

Human-Centered AI isn’t just about what AI can do — it’s about how it supports the people using it.

interop.io makes this possible by embedding AI into the systems and workflows your teams already rely on. Rather than introducing entirely new platforms or workflows, interoperability allows AI to show up where the work already happens — making it easier to adopt, more intuitive to use, and better aligned with the way your teams think and operate.
This approach delivers strategic advantages:

Keeps people in the driver’s seat: AI enhances decision-making by offering timely insights and suggested actions, while users remain the primary decision-makers throughout the process.
Enables collaborative workflows: Rather than acting independently, AI becomes an active participant in the existing application ecosystem — coordinating across systems, surfacing relevant context, and supporting user-led actions.
Fits into familiar environments: Because AI is delivered inside the tools your teams already know, it becomes part of the natural flow of work — increasing confidence and productivity.
Scales thoughtfully: Interoperability makes it easy to expand AI capabilities gradually, aligning with user needs and organizational readiness — without disrupting what’s already working.

Get Started with Human-Centered AI Now

If you already have an interop platform in place (and a bonus if you have a ChatUI interface already implemented) you can get started today. The MCP creates a bridge between these conversational AI systems and your existing applications, enabling the AI to access context and take actions.

This is good news for our clients who have already invested in interop-enabling their applications. They’ve laid the groundwork to safely AI-enable their workflows — quickly, and with minimal risk.