https://store-images.s-microsoft.com/image/apps.42955.ddb0280b-f083-40a5-b75a-a3a4bc4a4ba7.6677f863-3673-41e1-aea0-fdcb8b51d220.cd097910-51c3-48b1-a6ad-609199c1fda4

Microsoft Copilot Proof of Concept for Data Factory

WinWire Technologies

Pricing $15,000

Bring AI-Enhanced Data Pipelines to Life—Fast and Safely with WinWire

Microsoft Fabric’s Copilot in Data Factory enables data engineers to design pipelines faster by using natural language to generate pipeline flows, expressions, and data transformations. But organizations need hands-on validation to prove its value, train users, and build internal support for broader adoption. WinWire’s Copilot Pilot offering delivers a scoped, measurable POC using real pipeline use cases, empowering engineering teams to experience and evaluate AI-assisted ETL development in action.

Scope of the Pilot

  • Up to 3 data pipelines with Copilot enhancement
  • Up to 2 data sources and 2 sinks (e.g., lakehouse, SQL)
  • Up to 6–8 data engineers and platform admins as pilot users
  • Core Copilot capabilities tested: 1) Natural language to create pipeline flows. 2) Prompt-based generation of expressions and transformations. 3) Modifications of existing pipelines using AI suggestions.

    • Why this Offering?

  • Demonstrate Copilot value with real-world ETL tasks
  • Validate readiness and productivity gains before wider rollout
  • Train and enable engineers on prompt-first development
  • Capture success metrics and user feedback

    • WinWire’s Solution

    A 4-week implementation-focused engagement to design, execute, and analyze a live Copilot-enabled Data Factory POC. This PoC enables organizations to evaluate and extend their Microsoft Azure investment by validating Copilot functionality in Microsoft Fabric’s Data Factory environment.

    Our Methodology

    Week 1: Scope Definition & Planning

  • Select 2–3 pipeline scenarios for Copilot integration
  • Define success KPIs (pipeline creation time, reuse, error rate)
  • Identify test group and baseline measurements

    • Week 2–3: Enablement & Execution

  • Enable Copilot in selected workspaces
  • Guide prompt-based development with real data flows)
  • Support hands-on labs and iterative prompt refinement

    • Week 4: Feedback & Adoption Strategy

  • Analyze pilot outcomes and KPIs
  • Collect feedback and Copilot usage logs
  • Present POC results and next-step roadmap

    • Key Deliverables

  • 2–3 Copilot-Enhanced Data Pipelines
  • Pilot Productivity & Adoption Dashboard
  • User Training Materials & Prompt Library
  • Findings Report with Adoption Recommendations

    • Business Benefits

  • Validated ROI from AI-powered data engineering
  • Faster ETL design and reduced development bottlenecks
  • Greater team confidence in AI prompt workflows
  • Stakeholder alignment for Copilot scale-out

    • Experience the speed of Copilot—launch your AI-powered pipelines today. Contact us to schedule your Copilot Pilot for Data Factory.

    At a glance

    https://store-images.s-microsoft.com/image/apps.47250.ddb0280b-f083-40a5-b75a-a3a4bc4a4ba7.e2246362-fcd0-46d9-ae6a-d63b8f973a41.cff8d4ab-24ab-477f-a91d-36288f822d17