
Lewis Baybutt
Lewis is a technologist passionate about building agentic and other digital experiences that work for everyone in the Modern Workplace.
At Avanade, Lewis works with both mid-market and enterprise Accenture clients to deliver scalable solutions on the Microsoft Cloud. His work as a Solution Architect (Associate Manager) in the Modern Workplace team focuses primarily on delivering agentic experiences and enabling enterprises and their people to build Copilot agents at scale, whilst also supporting early client discussions and solutioning, helping organisations to reimagine how they do work to become Frontier.
Lewis is a passionate member of technical communities in the Microsoft space, and regularly delivers technical sessions at conferences and shares guidance and thoughts via LewisDoes.Dev. Focusing primarily on Copilot agents and Power Platform, Lewis is also recognised by Microsoft as an MVP for Copilot Extensibility.
Lewis Baybutt's Sessions
Fabric Data Agents vs. Copilot StudioSQLBits 2026
Bring your structured data to Copilot! The question: Fabric Data Agents or Copilot Studio? Come along to see a lady with a hat full of data, and a Microsoft 365 and Power Platform fanatic, battle it out.
Microsoft Fabric and the mess of SharePointSQLBits 2026
Access SharePoint lists and files from Fabric notebooks using secure authentication and robust patterns to load data into Lakehouse tables for reliable analytics and Power BI reporting.
Translytical Flows vs Embedding a Power App in your reportSQLBits 2026
When the business ask for write back what options do we have? Lets compare Power Apps, Power Automate and the new Translytical flows and see which works for who.
Bring your contextual data to life with Microsoft Graph and Power PlatformSQLBits 2024
Ready to 10x the user experience of your digital solutions built on Microsoft's Low-Code platform, Power Platform? Let us give you a spin around the Microsoft Graph API so you can start to maximise your UX potential by utilising all of your subconsciously created contextual data!