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AI agents is that seeming to work and actually working reliably are very different things. This post is about how you close that gap using the built-in evaluation framework in...
The teams that build effective enterprise AI will be the ones who recognized early that agents are event consumers — and built their data enrichment layer to match. Micro-Integrations are...
Solace has built a multi-agent AIOps solution on top of Solace Agent Mesh to automate BAU requests, health checks, capacity reviews, and documentation lookups that keep middleware engineers in reactive...
Solace Agent Mesh gives you two ways to coordinate agents: Orchestrator is backed by a LLM and when it receives a task, it decides at runtime which agents to invoke,...
RFQ is a structurally complex process, not a simple workflow. The multi-system, multi-party, exception-heavy nature of quote generation makes it a poor fit for rule-based automation and a strong fit...
In Solace Agent Mesh, entrypoints (formerly known as gateways) are external-facing interfaces that connect your agent mesh to the outside world. They sit between your users, or your systems, and...
In this blog post, I dive into Solace Event Portal MCP Server and explain how to integrate it with Solace Agent Mesh.
Without connections to your databases, APIs, knowledge bases, and enterprise systems, even the most sophisticated agent remains limited to general knowledge -- this is where data connectors become essential.
Today's AI agents face a fundamental dilemma. To make intelligent decisions, they need access to vast amounts of real-time information distributed across the enterprise—from IoT sensors and operational systems to...
Solace Agent Mesh provides the real-time context and orchestration layer that SAP enterprises need to get agentic AI from pilot to production.
Agentic AI has burst on to the scene as a serious game changer, but most organizations today are playing with single AI agent systems and experiencing mixed success.
