The control tower for an enterprise’s agent estate. It governs what agents can do, observes what they are doing, and ensures resilience, compliance, and cost control across the full lifecycle

Semantic touter - routing relevance with precision

Bayesian ReAct - reacting with reason and Bayesian guardrails

NLQ for operational searches. Pydantic templates prevent prompt injection attacks

 for agentic solutions — teams can create, reuse, and scale workflows without technical expertise.

 with MCP-based integrations, governed access, and an ecosystem that connects enterprise and approved public knowledge.

 by removing the need to build and maintain orchestration infrastructure.

 across Delivery, Consulting, and Solutioning — unlocking faster insights, automation, and decision-making.

 across Advanced Delivery, DWS, Cloud, and Bridge App.

 with built-in CI/CD automation, tool integrations, memory management, and cost monitoring.

 by enabling teams to reuse AI workflows across projects and domains.

Positions Bridge as the enterprise AI backbone

 — scalable, extensible, and ready for future multi-agent innovation.

The agent library contains your active agents, making effective management essential. To support this, an observability capability is needed to monitor and manage agents while addressing security and compliance. To access the dashboard, go to 

The dashboard provides key monitoring insights to enhance operational efficiency. You can access to agent-specific Key Performance Indicators (KPIs), such as the total number of executing agents, metrics on successful and failed executions, and those active for long durations.  

Agent operations focus on tenant-level metrics, evaluating performance, NCP health, and execution details. This allows for account-specific insights, such as last month’s performance metrics, including the number of registered and deployed agents. 

You can assess tenant health, including registered agents, deployment status, total execution counts, and trends like token usage over the past month. The dashboard will feature an agent topology section that shows the number of models used by each agent, their status, and a complete list of associated agents. 

Metrics for each agent will include execution counts, success rates, and recent statistics. The dashboard will also provide the status of agents, whether active, inactive, or in draft mode, along with overall capacity insights. 

Additionally, the system provides an overview of registered MCP servers and tools, facilitating easy identification and access to key areas, such as the agent library. Future enhancements will introduce additional observability and audit capabilities for MCP, including a dedicated page for MCP servers and tools, as well as a section for agent submissions. 

Agent Ops

Leverage for Business Automation: Use AI and automation to transform business processes and drive measurable business impact.

Support Hybrid Enterprise Mgt, Security, Compliance & Resilience: Unify operations and deliver consistent management across hybrid environments from core to edge.

Enhanced Integration: Connect systems data through secure, high-quality integrations that accelerate business flow.

Enhanced Insights & Observability: Turn data into actionable insights with consistent visibility across managed and non managed estates.

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Artificial Intelligence for IT Operations

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Continuous Controls Monitoring & Management 

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