As organizations continue to introduce Agentic AI into their business operations, several key ingredients need to be in place for Enterprise-safe, large-scale adoption.
Fortunately, AgilePoint already addresses many core elements like grounding, guardrails and multi-agent orchestration via it’s innovative AI Control Tower. The remaining piece, Agent observability, was straightforward as it is merely an extension of AgilePoint’s enterprise-grade auditing capabilities that have been part of the platform for decades.
Centralized View of Agent Activities
In the AgilePoint environment, agents are far more than productivity assistants that draft emails or summarize text. They can actively take corrective action within a process when automation begins to go off course.
Because agents play such an active role in AgilePoint-driven processes, having a central dashboard to monitor agent behavior and audit activity is critical for both platform and application administrators.
At a glance, team members see:
- Where Agents are running in your business applications
- The processes those Agents interact with
- Any actions an Agent has taken
- Overall health and status of Agent-infused operations
Diving deeper into a specific agent or application, administrators can now understand the complete audit trail, including:
- Data that was provided to an AI service or Agent
- The response generated based on AI context
- Any downstream actions triggered within the process
With AI Agents playing an equally important ‘process actor’ role like People and Systems, it’s important to treat them with the same level of visibility, oversight and granularity.
Ready to see more? Watch the video linked below.