We’re extremely proud to introduce the AnswerModules AI Gateway — a powerful, enterprise-grade middleware designed to securely orchestrate and govern AI services and tools across hybrid environments.
Set to launch at the upcoming AnswerModules User Group in Barcelona this September, with a limited beta opening in mid-August (contact beta.aig@answermodules.com for more information), the AI Gateway brings together the flexibility of modern AI agents with the structure and governance enterprises need.
Why the AI Gateway
As organizations begin experimenting with AI agents, the complexity of managing secure, compliant, and scalable integrations quickly escalates. These agents rely on LLMs (Large Language Models) to reason and execute tasks through external tools exposed via APIs.
But to be truly useful in the enterprise, they must also interface with real business systems — accessing tools, executing workflows, and respecting authorization models.
This is where protocols like MCP (Model Context Protocol) come in, enabling agents to discover and use APIs exposed by systems like ECM platforms. Yet working with multiple MCP servers, managing access rights, and securing tool usage presents a significant governance challenge — especially in regulated environments.
The AI Gateway solves this by introducing a centralized, policy-driven control layer that enables organizations to make AI useful and safe at scale.

Core capabilities
Centralized proxy for MCP servers
At its core, the AI Gateway acts as a middleware layer between your LLM-based agents and your ECM systems and tools.
It serves as a central proxy to multiple MCP servers, allowing administrators to manage access to tools and APIs through structured authorization profiles. These profiles can be tied to users or groups, include expiration windows, and enforce granular control over which agents or tools can be used — and by whom.
Tool metadata control & security
Tool metadata (names, descriptions, parameters) can be standardized or overridden to align with internal naming conventions or reduce ambiguity. Tools and even entire servers can be disabled, significantly limiting attack surfaces and minimizing risk.
Visual toolchain composition
The AI Gateway allows you to compose multi-step workflows by chaining tools together — and yes, there’s a drag-and-drop UI for this. No heavy coding required. These toolchains can then be published as virtual MCP servers, simplifying reuse and extending capability.
Human-in-the-loop interaction
Agents can also assign tasks to users via structured forms, keeping humans in the loop for approvals or decisions. Because the Gateway includes its own user interface, users can chat with agents or LLMs, review activity history, and manage access authorizations directly.
Built for the enterprise
The AI Gateway is designed with scalability and deployment flexibility in mind:
• Cloud-first, containerized architecture
• Supports on-premises or hybrid environments
• Enforces role separation between admins, analysts, and users
The rise of AI agents calls for greater operational maturity. The AI Gateway delivers just that — a centralized, secure, and intelligent way to govern your enterprise AI landscape.
Whether you’re piloting LLMs or scaling AI across your organization, the AI Gateway lets you do it safely, intelligently, and with control.
Join the Beta Program
If you’re interested in joining the beta program or want to explore how the AI Gateway could fit into your ECM architecture, reach out to AnswerModules at beta.aig@answermodules.com to secure your spot.
Discover more about the AI Gateway in our recent webinar.