Architecting the Agentic Enterprise
with Solace and Gravitee

Introduction

Enterprises are evolving from generative AI to agentic AI, where autonomous agents reason, coordinate, and act across multi-step workflows. While the promise is significant, moving from experimentation to production comes with challenges such as fragmented and out-dated data, brittle integrations, agent sprawl. Which results in rising operational costs.

Mastering these challenges requires more than better models or frameworks — it demands an enterprise-grade agent mesh architecture. This article outlines how Solace and Gravitee together provide that foundation. By combining Solace’s event-driven agent orchestration with Gravitee’s AI governance, security, and management, organisations can turn isolated agents into a resilient, governed, and scalable agentic ecosystem.

Towards the Agentic Enterprise

Enterprises are moving from generative AI that creates content to agentic AI systems that carry out complex work. AI models supply the ‘brains’ and single agents can be created rapidly, but teams struggle to take multi-agent systems from pilot to production.

A big part of the problem is that data is scattered across enterprise resources, services and APIs, not to speak of providing relevant real-time context. AI itself is often the easy part—the real challenge lies in securely connecting it to the systems and APIs that supply the context it needs..

Without the right architecture in place, you end up with agent sprawl. agents pop up everywhere and it is unclear who owns them. And thus, there are no consistent guardrails nor visibility into what they’re consuming or costing.

Synchronous request-response patterns break down with long-running AI tasks. If an agent pauses or a model takes seconds to respond, everything behind it ends up waiting. Which might cause the workflow to fail or result in unacceptable response times.

That’s why you need an agent mesh and AI agent management. The combination provides the backbone that orchestrates agents, links agents to enterprise systems, tools and other agents with strong security and governance.

Agent Mesh and AI Agent Management

Solace Agent Mesh: The Event-Driven Orchestration Backbone

Solace Agent Mesh is an event-driven framework that lets you create and manage agents as well as orchestrate agents in real time. Built on Solace Platform, Agent Mesh provides the connective layer for AI components. Agents can exchange information asynchronously with other agents, tools, APIs and enterprise systems.

The Orchestrator Agent transforms a high-level prompt into tasks and sends each task to the right specialised agent. It supports dynamic orchestration for open-ended tasks and prescriptive orchestration for workflows that need to adhere to strict rules.

Because Agent Mesh is built on a broker-centric, event-driven architecture, agents can run in parallel. Each one operates independently, without blocking other agents, the system stays responsive and can trigger self-healing even when an agent is slow or failing.

Agent Mesh provides only the data or context an agent needs. This keeps model costs under control and reduces unnecessary processing which often also increases response times. Agent Mesh makes it easy to build event-triggered assistants that respond to significant events; for example, the moment inventory runs out, or a customer raises a complaint.

Gravitee AI Agent Management: The Governance and Security Layer

Gravitee AI Agent Management applies proven API-management principles to Agentic AI, providing a centralized control plane to secure, govern, and manage your evolving agentic ecosystem.
Operating as a comprehensive AI Gateway, Gravitee enables teams to securely manage interactions across the core pillars of AI: LLMs, MCP, and AI Agents.

Rather than imposing rigid catalog constraints, Gravitee provides flexible, enterprise-grade governance through dedicated proxies and a strong identity framework:

• LLM Proxy (Model Governance): Gravitee acts as a single front door to multiple LLM providers, allowing you to switch models without rewriting agent logic. It centralizes security and visibility across all LLM calls. You can enforce prompt guardrails (including PII filtering and blocking harmful inputs), track token usage to forecast spend and apply rate limits, and implement semantic caching to optimize costs.
• MCP Proxy (Tool Governance): To prevent point-to-point integration sprawl, Gravitee centralizes tool access and discovery. It applies consistent controls, such as rate limiting, caching, and Access Control Lists (ACLs), across internal, third-party, and custom MCP servers. Furthermore, Gravitee can automatically convert REST APIs (using the OpenAPI specifications) into secure Gravitee MCP Tool Servers, allowing agents to securely invoke existing enterprise backends without manual changes.
• Agentic IAM & AI Agent Proxy: Gravitee secures agent identity and interactions. It offers OAuth and SSO-based onboarding for agents and MCP clients, applying fine-grained permissions (using OpenFGA) and runtime policy decisions (via OpenID AuthZen) to ensure agents only access the data they are authorized to use. When agents need to coordinate, Gravitee’s A2A Proxy offers governed agent-to-agent communication, enforcing identity checks and security policies wherever your agents run.

The Joint Solution: Governing, Protecting, and Orchestrating AI Agents

Together, Gravitee’s AI governance and Solace’s event-driven agent orchestration turn agent sprawl into a well-governed Agentic AI ecosystem.

Our joint solution operates with a separation of concerns:

• Gravitee provides the centralised control plane, an AI Agent Management Platform, that not only secures entry points and enterprise resources but also governs and protects the agents and MCP tools that Agent Mesh orchestrates.
• Solace provides the intelligent orchestration backbone that coordinates complex, multi-agent workflows.

Gravitee applies authorisation, guardrails, and metering at the gateway enforcing security across all governed LLMs, agents and tools. The Agent Mesh Orchestrator decomposes the prompt into subtasks and routes these to the right specialised agents.

Integration Models

MCP (Model Context Protocol) Tooling and Automated Discovery

Enterprises often have large portfolios of REST APIs that aren’t ‘AI-ready’. Gravitee’s Agent Tool Server closes this gap by turning existing APIs into MCP servers with just a few clicks. The server uses API’s OpenAPI specification to automatically create machine-readable tool definitions. These tools carry Gravitee’s enterprise-grade security model, preventing agents from accessing data they shouldn’t.

Tools published in the Gravitee Developer Portal are made available to Agent Mesh via MCP. That means Agent Mesh’s agent builder can automatically discover them, allowing developers to assemble new capabilities from trusted, pre-secured assets.

Agent Governance and Lifecycle Management

To prevent agent sprawl, organisations need a strong lifecycle management layer. In this model, Gravitee acts as a secure AI Agent front-end, an Agent Gateway, for agents wherever they run.

Governed agents are registered in Gravitee’s Agent Catalog with their Agent Cards. These cards provide information about the agent’s identity, skills, and security requirements. Agent Mesh uses these cards to integrate agents into complex, multi-agent agentic workflows

Gravitee proxies interactions between Agent Mesh and governed agents over the A2A protocol, allowing organisations to enforce policies such as rate-limiting and to capture logs for visibility. Gravitee can also ‘A2A-enable’ agentic frameworks that don’t natively support the protocol.

Interconnected Agent Mesh and AI Agent Management for Hybrid Agent Interactions

Different tasks call for different communication patterns, deterministic, predictable ones need one approach, and exploratory ones need another. This model brings both direct and event-mediated communication together.

For simple, sequence-based tasks, agents managed through Gravitee can communicate directly point-to-point. This works well for prescriptive workflows where Agent A must always call Agent B to ensure a predictable outcome.

For more complex, dynamic workflows, Agent Mesh provides agent orchestration and introduces asynchronous mediation through the event mesh. Agents react to real-time event streams, allowing the system to scale naturally and absorb speed mismatches between different models and systems.

This enables organisations to build supervisor or manager agents in Gravitee that aggregate multiple specialised agents through point-to-point connections. These composite agents can then be exposed to the wider Solace mesh for use in more dynamic orchestrations.

Unified Visibility and Economic Control

The combination of Agent Mesh and AI Agent Management provides a unified ‘single pane of glass’ for end-to-end observability. Agent Mesh’s Visualizer traces the full lifecycle of a prompt or stimulus as it moves through the mesh, making agent interactions easy to understand. At the same time, Gravitee adds granular analytics and token tracking so administrators can monitor token use in real time, enforce token-based quotas to prevent bill shock, and route tasks to more cost-efficient models based on performance and spend insights. Together, these capabilities ensure the agentic ecosystem is secure, orchestrated, and economically sustainable.

The Value of a Unified Solution

Together, these two platform give teams a governed and scalable foundation for running multi-agent systems in production:

• Accelerated Innovation:
  Teams can rapidly experiment by integrating native and third-party AI agents, reducing time-to-market for AI-driven applications by reusing existing API investments.
• Full Activity Observability:
  Administrators can visualise the full lifecycle of a request as it moves through the mesh. This makes it possible to follow the reasoning chain behind an agent’s decisions for greater trust and explainability.
• Predictable Scaling and ROI:
  The asynchronous backbone prevents system-wide failures and absorbs speed mismatches, while Gravitee’s analytics give teams the insights needed to optimise costs and demonstrate the ROI of agentic workflows.
• Standardised Interoperability:
  Support for open protocols like A2A and MCP ensures the platform remains vendor-neutral, enabling organisations to coordinate agents across multiple LLM providers and cloud environments without lock-in.

Summary and Key Takeaways

The agentic enterprise succeeds or fails on its architecture. Solace Agent Mesh delivers the asynchronous, event-driven backbone needed to orchestrate agents reliably at scale, while Gravitee AI Agent Management provides the governance, security, visibility, and cost controls required for enterprise adoption.

Together, they enable a regulated, interoperable agent ecosystem built on open standards such a A2A and MCP, avoiding vendor lock-in while ensuring trust, observability, and predictable economics. The result is a unified platform that transforms agentic AI from experimental capability into a secure, scalable, and outcome-driven enterprise asset.