From Agent Sprawl to a Governed Agent Network
Agencies and enterprises are adopting AI agents from many sources: CRM platforms, cloud providers, and custom builds. Without a common way to register, connect, and govern them, agents duplicate each other, reach data without clear authorization, and act as black boxes. Iron Brick connects AI agents to your systems through governed APIs, with one place to discover, orchestrate, secure, and observe every agent.
What the Integration Layer Provides
The capabilities we design and implement for your agents.
Agent Registry
One catalog of every agent, API, and MCP tool across platforms, so teams reuse what exists instead of rebuilding it.
Discovery Scanners
Automatic discovery of agents and MCP servers running on major cloud platforms, registered centrally.
APIs as Agent Tools
Turns existing APIs into agent-ready MCP tools without rebuilding the underlying integrations.
Agent Broker
Organizes agents into business domains and routes multi-step work across them.
AI Gateway and Trusted Identity
Enforces security, compliance, and cost policies on agents, models, and tools, with agents acting under the right user identity.
Agent Monitoring
A live view of how agents connect and perform, turning black-box AI into an observable system.
How Iron Brick Helps
API integration expertise applied to AI agents.
Agent inventory and registry design
Find the agents and tools already in use, define ownership, and set up the registry as the single source of truth.
APIs to MCP tools
Use your existing APIs as governed agent tools, grounded in systems of record.
Broker and domain design
Define business domains, routing rules, and escalation paths so agents work together predictably.
Governance policies
Authorization, data protection, rate and cost limits, and approval steps for high-risk actions.
Observability and SOC integration
Feed agent activity to Splunk or your SIEM so security and operations teams see what agents do.
Public sector readiness
Architecture and controls planned around agency security and compliance requirements from the start.
Getting Started
Start small, prove it, then scale.
Assess
Inventory your current agents, APIs, and MCP tools, and identify governance and security gaps.
Prove
Register a first set of agents, expose key APIs as MCP tools, and route one business process through the broker.
Scale
Extend governance, observability, and domains across the organization, with enablement for your team.
Govern your AI agents with confidence
Talk with an integration architect about bringing your agents under one registry, broker, and set of policies.