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IA-2026-0020

DFO AI - Pipeline

Pilot Chief Digital Officer

Description of the initiative

DFO Pipeline Analyzer is a private Azure DevOps extension designed to assist development teams in diagnosing and resolving pipeline failures using AI. When a pipeline run fails, this task automatically triggers, extracts the provided error details, and queries a secure AI API to generate a human-readable explanation of the failure along with actionable troubleshooting steps. It will assist developers to make appropriate steps in right direction as they are getting suggestion with-in pipeline logs. Suggestion also provide corrected version of pipeline Key features: Runs only on pipeline failure (condition: failed()) Fully agent-agnostic: Works on self-hosted and Azure-hosted agents, across Windows, Linux, and macOS Provides clear error analysis and resolution guidance directly in pipeline logs Keeps your data secure by using your own OpenAI or other AI API key Fully private and scoped to your Azure DevOps organization We have working prototype of DFO-AI pipeline Analyzer by communicating with OpenAI securely. In next steps we are also exploring to integrate with our self-hosted AI Models (open-source via Ollama), currently in discussion

Strategic alignment

Contacts

Subject matter expert
Mehdi, Ghizal

Lifecycle

  1. Ideation

    Stage status : Completed

    August 28, 2026 August 28, 2026

  2. Assessment

    Stage status : Not applicable

  3. Approved

    Stage status : Not applicable

  4. Development

    Stage status : Not applicable

  5. Pilot

    Stage status : In progress

    August 28, 2026

  6. Production

    Stage status : Upcoming

  7. Archived

    Stage status : Upcoming

Schedule for this initiative

  • Completed
  • In progress
  • Planned
  • Not applicable
  • Today
Aug 26
Change log (12 entries)

Public history of this initiative's key events. The team's internal exchanges are not shown.

  1. Stage change

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  7. Stage change

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  9. Stage change

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  10. Stage change

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  12. Created