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Conversation Export

Export your research session to share findings with your team or demonstrate the agent's capabilities to management.

Why Export?​

SAP projects involve multiple stakeholders—functional consultants, developers, architects, and management—who need visibility into research findings.

Justify Agent Adoption​

  • Build a business case: Show management concrete time savings and the scope of research conducted
  • Demonstrate ROI: Use session metrics to quantify efficiency gains for procurement or budget discussions

Integrate with Your Workflow​

  • Support documentation: Use findings as input for functional specs, technical designs, or project plans
  • Create audit trails: Maintain records of how implementation decisions were reached
  • Onboard team members: Bring colleagues up to speed without repeating research

How to Export?​

Ask the agent to export your session. You can customize the format, timestamps, and header stats. Example prompt:

Export this conversation. You must adhere to the design system that the harness has provided you.

Title: Conversation Export | SAP Research Agent
Subtitle: Exported on `yyyy-mm-dd hh:mm:ss UTC` | Link: https://research.getadri.ai/sessions/session/{conversation_id}

Each message should have a timestamp displayed underneath in this format (yyyy-mm-dd hh:mm:ss UTC).

Club consecutive assistant messages into one.

Include the following stats in the header: SAP system, Objects Available, Queries answered, Session duration, Est. time saved

Calculate Est. time saved as: (Knowledge Graph Searches + Web Searches) × 30 mins. Add a note explaining this methodology, directly beneath the header.

The agent will generate a downloadable HTML that you can convert to PDF, if needed.

Export Header Stats​

You can include the following metrics in your export header:

StatDescriptionExample
SystemThe SAP system searchedECC 6.0 EHP 7
Objects availableTotal objects in the knowledge graph~18M+ (demo sandbox)
Queries answeredNumber of questions addressed4
Session durationTime from first to last message4 mins
Est. time savedEstimated manual research time avoided~4 hrs

Time Saved Methodology​

The estimated time saved is calculated based on typical manual research effort:

ActionManual Time Estimate
Knowledge Graph Search (querying SAP objects)30 mins
Web Search (finding SAP resources)30 mins

Formula: Est. time saved = (Knowledge Graph Searches + Web Searches) × 30 mins

This estimate reflects the time a consultant would typically spend navigating SE11/SE80, searching SAP documentation, or browsing community forums to find equivalent information.