Status
Live
Production-ready
Strategic Intelligence
Audit Agent
Runs a daily audit of all autonomous intelligence decisions, computing success rates, tracking execution statuses, identifying missing monitor results, and storing governance-ready summaries. Also triggers batch learning
Intelligence & AnalyticsLiveInternal (Colaberry Enterprise)Verified
Department
Strategic Intelligence
Intelligence & Analytics department for Colaberry Enterprise agents
Source
Internal (Colaberry Enterprise)
Built by Colaberry
About
About the Agent
What this agent does, the challenges it addresses, and where it delivers value.
Runs a daily audit of all autonomous intelligence decisions, computing success rates, tracking execution statuses, identifying missing monitor results, and storing governance-ready summaries. Also triggers batch learning from completed decisions to strengthen future recommendations.
Challenges This Agent Addresses
- 1**Executive Leadership**: Daily governance report showing AI decision quality and safety metrics
- 2**Compliance**: Audit trail proving all autonomous actions were tracked, monitored, and evaluated
- 3**Operations**: Identifies stale monitoring jobs and decisions that fell through the cracks
Workflow
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
1
Step 1
Queries the database for all intelligence decisions from the last 24 hours
2
Step 2
Groups decisions by execution status and computes counts
3
Step 3
Calculates the success rate as completed decisions divided by total executed
4
Step 4
Computes average risk and confidence scores across all recent decisions
5
Step 5
Identifies decisions stuck in "monitoring" status with no monitor results for over 2 hours
6
Step 6
Builds an action-type breakdown showing which actions were recommended most
7
Step 7
Stores the audit summary in vector memory for historical reference
8
Step 8
Triggers `batchLearnFromDecisions()` to update the learning engine with completed outcomes
Execution Modes
Trigger: cron (daily)
Data
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- All `IntelligenceDecision` records from the past 24 hours
- Decision status counts (proposed, executed, completed, rolled back, failed)
- Average risk and confidence scores
Deliverables
- `AuditSummary` containing:
- Period identifier
- Total decisions, executed, completed, rolled back, and failed counts
- Success rate percentage
- Average risk and confidence scores
- Count of decisions missing monitor results
- Breakdown of actions by type
Core Tasks
- Strategic Intelligence
Integrations
Systems Connected
Internal systems, APIs, and tools this agent integrates with.
Tools & APIs
Reads from **IntelligenceDecision** database tableWrites summaries to **Vector Memory**Invokes the **Learning Engine** for batch outcome learningReports feed into **Governance Agent** compliance checks
Specifications
Agent Specs
Technical specifications, requirements, and deployment details.
Related
Related Agents
Other agents in the same department or industry.
Enterprise AI
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