Status
Live
Production-ready
Strategic Intelligence
Action Planner Agent
Maps root cause analysis results to safe, executable actions drawn from a curated allowlist. The agent matches detected problem types and root cause patterns against predefined action rules, then consults vector memory f
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.
Maps root cause analysis results to safe, executable actions drawn from a curated allowlist. The agent matches detected problem types and root cause patterns against predefined action rules, then consults vector memory for historical success rates to improve recommendation quality over time.
Challenges This Agent Addresses
- 1**IT Operations**: Automatically recommends agent configuration resets or schedule modifications when agent failures are detected
- 2**Marketing**: Suggests campaign config updates, lead scoring adjustments, or A/B tests when conversion drops are identified
- 3**Platform Engineering**: Proposes campaign pauses during error spikes to stop propagation
Workflow
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
1
Step 1
Receives a root cause result from the Root Cause Agent
2
Step 2
Iterates through a deterministic set of action rules, matching on problem type and root cause regex patterns
3
Step 3
For each matched rule, queries vector memory for past outcomes of the same action type
4
Step 4
Computes a historical success rate from stored results (successes divided by total attempts)
5
Step 5
Assembles an `ActionRecommendation` with parameters, impact estimate, and success rate
6
Step 6
If no rules match and root cause confidence is below 70%, defaults to proposing an A/B test to validate the hypothesis
Execution Modes
Trigger: event (invoked by the autonomous engine after root cause analysis)
Data
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- Root cause analysis result (`RootCauseResult`) containing the detected problem, identified root causes, and confidence score
- Vector memory context for past action outcomes
Deliverables
- List of `ActionRecommendation` objects, each containing:
- Safe action identifier (from allowlist)
- Human-readable description
- Execution parameters
- Expected impact statement
- Reversibility flag
- Historical success rate (when available)
Core Tasks
- Strategic Intelligence
Integrations
Systems Connected
Internal systems, APIs, and tools this agent integrates with.
Tools & APIs
Receives input from **Root Cause Agent**Outputs feed into **Impact Estimator Agent** and **Risk Evaluator Agent**Reads from and writes to **Vector Memory** for learningAction allowlist is defined by the `SafeAction` type in the `IntelligenceDecision` model
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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