THE PLATFORM
The ChatSee Guardian Agent
The missing performance control loop
ChatSee Guardian Agent can be deployed either on-premise or as a SaaS solution to discover and provide continuous oversight over your agents.
The control plane
From Observability to Behavioral Control and Risk Mitigation
Traditional AI observability measures system behavior.
ChatSee measures behavioral correctness and operational reliability.
Control
Visibility
Architecture
The Runtime Feedback Loop
Autonomy requires a persistent feedback mechanism. Our architecture ingests every agentic interaction, clusters anomalies into canonical failure modes, and feeds corrective signals back into the stack. This ensures your heterogeneous fleet evolves alongside your enterprise policies rather than drifting away from them.
Monitor
High-Fidelity Runtime Telemetry.
Capture the complete footprint of agentic behavior across your entire production environment, moving beyond system uptime to deep behavioral insight.
Unified Telemetry
Consolidate interaction logs from custom internal agents and embedded third-party copilots into a single, standardized operational stream.
Execution Traces
Capture the full technical reasoning chain, including tool calls and state changes, to enable deep-dive forensics and root-cause analysis.
Contextual Metadata
Envelop raw logs with environmental data—such as user preferences and operational policies—to provide the "why" behind every agent action.
Detect
Real-Time Behavioral Assurance.
Identify silent, inconsistent failures that traditional monitoring tools miss, ensuring every autonomous action remains within enterprise boundaries.
Behavioral and Governance Deviation
Detect behavioral problems, i.e. Not seeking enough clarification from users, not following steps in sequence. And detect governance policy deviations.
Semantic Drift
Identify silent behavioral shifts where an agent’s logic begins to deviate from its core mission or established operational baseline.
Context gap
Patterns, data structures, workflows for successful trajectiories.
Structure
The Failure Memory™ Architecture.
Transform transient, messy production data into a permanent, structured intelligence asset that serves as your organization's institutional knowledge for AI failures.
Behavioral Taxonomy
Standardize transient production anomalies into a structured, searchable classification system for enterprise-wide behavioral health.
Failure Memory™
Build a persistent repository of past incidents to ensure your organization never solves the same AI error twice.
Structure and Pattern Discovery
Automatically discover the data structure, work lows and macro behavioral trends to build context memory for systemic performance improvement.
Improve
Closed-Loop System Hardening.
Close the gap between production reality and development, using runtime insights to proactively optimize and secure future agent deployments.
Dynamic Policy Enforcement
Using prompt adaptation steer behavior back towards goal or policy. Unsafe behaviors are blocked.
Regression Harness Alignment to Production Scenarios
Benchmark new model versions against the historical "Failure Memory" to ensure high-fidelity performance before deployment.
Smart usage of human-in-the-loop
Keep humans in control and what goes in production. Remember and auto-remediate future actions based on human preference.
What Makes Us Different
Built for the way enterprise AI actually fails.
Generic observability tools weren't designed for agents. ChatSee was built from the ground up for behavioral misalignment — the failure mode that doesn't show up in your logs.
Behavioral Reliability
We go beyond uptime monitoring. ChatSee detects subtle tone drift, persona deviation, and semantic inconsistency — the failures that erode trust long before a ticket is filed.
Consistency scoring across sessions and agent types
Tone and persona drift alerts with severity grading
Automated remediation with audit trail
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Agent Performance Management
Track agent effectiveness against your actual business KPIs — not just system uptime. See goal alignment, task completion, and downstream business impact in one view.
Business goal alignment scoring per agent
Task attrition and completion rate tracking
Executive-ready reporting dashboards
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Collaborative Governance
Scale agentic workflows with the confidence of traditional software. Circuit breakers, retry logic, and semantic understanding enable persistent alignment across complex multi-agent systems.
Multi-agent coordination and circuit breaking
Policy enforcement across agent boundaries
Agent owner accountability and audit logging
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Discovery and Observability
Build a living map of how your agents behave in production — not just what they're supposed to do. Surface emergent patterns, data structures, workflows, unknown failure modes, and optimization opportunities automatically.
Emergent behavior and pattern discovery engine across agents, tools, and data workflows.
Full execution trace replay and comparison
Cross‑agent behavioral and performance benchmarking on real production traffic, including drift, anomaly, and failure‑mode analysis.