Airia First to Market with Interactive AI, Ending Text-Only Workflows

ATLANTA, GA – February 12, 2026 – By Amanda Clark

Enterprise artificial intelligence took a significant leap beyond text-only chatbots today. Airia, an all-in-one AI platform focused on enterprise security and governance, announced it has become the first in its category to deliver full support for MCP Apps. The move enables organizations to embed rich, interactive applications like dashboards, forms, and data visualizations directly into their AI-powered conversations, fundamentally changing the nature of how humans and AI agents work together.

This development, arriving just weeks after the MCP Apps standard was jointly announced by AI pioneers Anthropic and OpenAI, signals a major shift in the industry. The era of cumbersome, multi-prompt conversations to filter data or configure complex systems is drawing to a close, replaced by a more intuitive, visual, and reliable interface that operates within the familiar context of a chat window.

The End of Text-Only AI

Until now, enterprise AI has been largely confined to a conversational back-and-forth. A sales manager wanting to analyze a report would have to ask an AI agent a series of follow-up questions: "Show me Q4 sales," followed by, "Now filter for the Northeast region," and then, "Only show deals over $100,000." Each step introduced latency and potential for misunderstanding. Similarly, a DevOps engineer using an AI to configure a cloud deployment would navigate a maze of text prompts, a process ripe for error.

MCP Apps, which extend the rapidly adopted Model Context Protocol (MCP), were designed to solve this exact problem. Instead of responding with text, an AI agent can now present a fully interactive dashboard. The sales manager can now receive a single, live sales dashboard and use familiar point-and-click controls to filter, sort, and drill down into the data instantly. The DevOps engineer is presented with a configuration wizard, complete with dropdowns, validation, and dependent fields that update in real-time.

Critically, this new paradigm directly confronts one of the biggest hurdles to enterprise AI adoption: hallucination. Because the interactive UIs render data directly from the source system—be it a Salesforce database or a Grafana server—the information presented is a direct reflection of the system of record. The AI model facilitates access to the tool but does not interpret or regenerate the data itself. This guarantees that the data users see and interact with is accurate and trustworthy, a non-negotiable requirement for business-critical operations.

"Enterprise teams don't work in plain text. They work with dashboards, forms, and structured interfaces," said Spencer Reagan, Product Director at Airia, in the company's announcement. "MCP Apps brings that same richness into AI-powered workflows."

Airia's Strategic Move: Governance Meets Interaction

While Anthropic and OpenAI are integrating MCP Apps into their flagship products, Claude and ChatGPT, Airia's claim as the first enterprise AI platform to offer full support is significant. The company's strategic advantage lies in wrapping this cutting-edge interactive capability within its established framework of enterprise-grade security, orchestration, and governance.

Airia provides two distinct paths for customers to leverage this new technology:

1. Through a Secure Gateway: Companies can continue using their preferred AI clients, such as Claude or ChatGPT. By routing these tools through Airia's secure gateway, employees get the benefit of interactive MCP Apps while the organization maintains centralized control. Airia's platform works behind the scenes, enforcing access policies, logging all interactions for audit purposes, and ensuring corporate data is handled securely.

2. Natively within Airia: The interactive experiences can also be rendered directly inside Airia's own chat interface. This provides a unified environment where conversation, data interaction, and governance all coexist, eliminating the need for users to switch between different applications and lose context.

In either scenario, Airia's core value proposition remains intact. The platform manages tool authorization, detects changes to tool definitions that could pose a security risk, and proxies all interactions to keep sensitive credentials off the client device. This focus on security and control is what distinguishes an enterprise-ready solution from a consumer-facing tool and positions Airia to capture the growing market of large organizations moving AI from experimentation to production.

From Queries to Control: Reshaping Daily Work

The practical implications of this shift are profound and span every department within an organization. The abstract concept of an "interactive AI experience" translates into tangible improvements in efficiency, accuracy, and decision-making.

For Sales and Marketing teams, the endless chain of "show me this segment" prompts is replaced by interactive pipeline dashboards from systems like Salesforce. Users can visually explore customer data, filter leads, and analyze campaign performance in real time, all without leaving their AI assistant.

In DevOps and IT, the risk of misconfiguration during deployments is drastically reduced. Instead of manually typing complex commands, an engineer can be presented with a configuration wizard for a new server or application. This wizard can enforce dependencies, validate inputs, and prevent common errors before they happen, ensuring smoother and more reliable deployments.

For Data Analysts, the workflow is transformed. An AI agent connected to a data warehouse like Snowflake can return a live, manipulatable chart, not just a static image or a wall of numbers. The analyst can then zoom, pan, and re-aggregate data on the fly, turning the AI from a simple data retriever into a powerful and interactive co-pilot for discovery.

A Maturing Ecosystem Built on Trust

Airia's announcement is not happening in a vacuum. It is the result of a broader, industry-wide push toward standardization and interoperability, spearheaded by the Model Context Protocol. The collaboration on MCP and its extensions between fierce competitors like Anthropic, OpenAI, and Google DeepMind underscores a shared understanding that a common communication standard is essential for the entire AI ecosystem to mature.

This standardization allows toolmakers to build an integration once and have it work across any compliant AI platform, drastically reducing development overhead and accelerating innovation. For enterprises, it mitigates the risk of vendor lock-in and ensures that their investments in AI tooling will be durable.

By integrating with a growing list of essential enterprise systems—including Salesforce, NetSuite, Nexar, Snowflake, and Asana—Airia is creating a powerful nexus. The addition of MCP Apps support makes every one of these integrations exponentially more valuable. It transforms them from simple data connectors into a suite of fully interactive applications, securely orchestrated and governed from a central platform, and accessible directly at the point of need within an AI conversation.