- Technologies
- Solace
- Agent Mesh Ai
Solace Agent Mesh (AI)
Coordinating intelligent systems in real time
We design architectures that enable AI agents to operate in context, respond to events and act as part of a coordinated system
How AI systems behave today
AI capabilities are being introduced across many parts of the organisation.
These systems are often deployed to:
Automate decisions
Generate responses
Support operational workflows
In practice, they tend to operate within isolated contexts.
An individual agent may:
Have access to limited data
Respond to a narrow set of inputs
Act without awareness of related activity elsewhere
As more agents are introduced, this creates fragmentation:
Duplicated or conflicting actions
Inconsistent decisions across systems
Difficulty coordinating outcomes across the organisation
What an agent mesh enables
An agent mesh allows AI systems to operate as part of a connected, event-driven environment.
Agents can:
Receive real-time events from across the organisation
Respond to changes as they happen
Publish their own outputs as events for other systems and agents
This creates a shared layer where:
Agents operate with broader context
Actions are aligned across systems
Behaviour remains consistent as complexity increases
How it works in practice
Consider a customer service scenario. A customer raises an issue through a digital channel.
A support agent analyses the request and classifies it
A workflow agent initiates the appropriate process
A notification agent updates the customer
A monitoring agent tracks resolution and flags delays
Each agent operates independently, but all respond to the same sequence of events.
As the situation evolves, new events are generated and all relevant agents respond accordingly.
This allows the system to adapt in real time without central orchestration.
Example: coordinating AI agents
An agent mesh builds on event-driven architecture.
Events provide the mechanism through which agents:
Receive context
Communicate with each other
Trigger actions across systems
This creates:
Loosely coupled agents
Continuous flow of information
The ability to introduce new agents without redesigning existing systems
As the environment grows, coordination is maintained through shared event flows rather than direct integration.
Where it fits
An agent mesh sits across your existing architecture and connects AI capabilities to operational systems.
It works alongside:
Data platforms that provide inputs to AI models
APIs and integration layers that expose system functionality
Event-driven infrastructure that distributes information in real time
Together, these enable AI systems to operate within the flow of the organisation rather than alongside it.
The role of Solace
Solace provides the event-driven infrastructure required to support an agent mesh.
It enables:
Real-time distribution of events across systems and environments
Reliable communication between agents and services
Dynamic routing of information as conditions change
This supports AI systems operating in environments where timing, coordination and consistency matter.
The Claria approach
We design AI-enabled architectures with a focus on coordination.
That includes:
Identifying where AI agents add value within existing processes
Defining how agents interact through events
Ensuring consistent behaviour across systems and agents
Integrating AI capabilities into the broader architecture
This ensures AI systems contribute to coherent outcomes across the organisation.
Our Clients
Looking to coordinate AI systems across your architecture?
Send us a message and we’ll get right back to you.
Call us on
Email us on