Agentic Process
This field guide breaks down each key component of the Agent Miner. For each, you'll find:
What it is: A clear description of the feature.
Use Cases: Practical scenarios where it's most helpful.
Why it's Valuable: The business impact and benefits.
Use this guide to navigate the tab confidently and unlock insights that drive better decision-making.
Agentic Process Module
The Agentic Process module is an entirely new capability in Version 2.0, providing comprehensive AI agent usage tracking and analytics. This module enables organizations to monitor, analyze, and optimize their AI agent deployments across tasks, user sessions, and associated costs.
Business Value:
Agentic Process gives engineering leaders and finance teams full visibility into how AI agents are being used across workflows; tracking session activity, task-level impact, and cost transparency in real time, enabling organizations to maximize the ROI of their AI investments while keeping usage accountable and spend optimized.
Tasks
The Tasks view provides visibility into individual work items and tracks which AI agents are being utilized and where they are working.
Tasks Using Agents
A comprehensive task registry showing all work items where AI agents have been utilized.
Key Capabilities:
View complete list of tasks enhanced by AI agents
Display task code, name, type, and story points
Direct links to individual task details
"View Agentic Map" action for each task to visualize agent interactions
Filter by project and board for focused analysis
Search functionality to quickly locate specific tasks
Date range selection to analyze agent usage over time
Sessions
The Sessions view delivers detailed analytics on AI agent interaction sessions, mapping out what the agentic process agents are doing and where they are working.
Agent Sessions
A detailed session log capturing all AI agent interactions within the platform.
Tracked Metrics:
Session ID: Unique identifier for each agent interaction session
Session Start: Timestamp of when the agent session began
Agent Source: AI provider (Claude, Cursor, or other AI tools)
Events: Total number of events within the session
User Prompts: Count of user-initiated prompts
Tool Calls: Number of tool/function calls made by the agent
User: Team member who initiated the session
Key Capabilities:
Comprehensive session history with sortable columns
Filter sessions by individual users or view all users
Track sessions across different AI agent sources
Analyze engagement patterns through event and prompt counts
Monitor tool usage frequency per session
Date range filtering for historical analysis
Export session data for external reporting
Financials
The Financials view provides cost analysis and budget management capabilities for AI agent usage, showing token consumption and associated costs.
Cost and Token Analysis
Multiple visualization options for analyzing AI agent costs and token consumption across different dimensions.
Analysis Views:
Tasks: Cost breakdown by individual tasks
Users: Token usage per user
Initiatives: Cost tracking by initiative
Epics: Cost aggregation by epic-level work
Visualization Options:
Line Chart: Trend analysis over time
Bar Chart: Period-by-period comparison
Key Capabilities:
Toggle between Cost and Tokens metrics
Filter by agent source (Cursor, Claude, or other agents)
Time-series analysis showing cost trends over selected periods
Multi-select filtering for tasks, users, epics, or initiatives
Date range selection for custom reporting periods
Export financial data for budget planning and reporting
Identify high-cost areas for optimization opportunities
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