
Lessons Learned Deploying a Natural Language to SQL Agent in Microsoft Copilot Studio
Learn 6 lessons for building a secure Microsoft Copilot Studio AI agent that queries live Azure SQL data using natural language.
This webinar series explores practical ways organizations can begin incorporating AI without overhauling existing systems or processes. Through real-world examples, live demos, and guidance on governance and security, we’ll break down how to evaluate AI tools, identify meaningful use cases, and move forward one step at a time.
Want to see the recording of this session? You can fill out the form above and your Keller Schroeder Account Manager will be in touch with the recording.
AI is increasingly being used to supplement enterprise reporting, but different approaches deliver very different results. In this session, Keller Schroeder shares lessons learned from a hands-on discovery project comparing three Microsoft-based options for reporting against an Azure SQL database: Microsoft 365 Copilot, Copilot Studio, and a custom solution built using Microsoft Foundry.
Through live demos and practical examples, we’ll explore where each approach fits, where it doesn’t, and the tradeoffs that matter most, including accuracy, trust, cost, governance, and ongoing ownership, so attendees can better evaluate which approach makes the most sense for their reporting needs.

Senior Data Engineer

Data Engineer

Applications Consultant
Want to see the recording of this session? You can fill out the form above and your Keller Schroeder Account Manager will be in touch with the recording.
Keller Schroeder explores how organizations can intentionally and responsibly apply AI to real business processes, starting with familiar examples. Rather than beginning with the technology or data, we take an outcome-first, data-driven approach to determine when and where AI adds the most value, ensuring it augments human judgment rather than replacing it.
In this session, we’ll walk through a sampling of use cases to illustrate how intelligent automation can reduce manual effort, improve accuracy, and manage risk. We’ll also walk through our AI Decision Tree to help you identify uses cases on your own that may or may not be a great fit for AI. You will walk away with a repeatable, scalable method for identifying and deploying AI opportunities across your organization.

Director, Applications & Data Strategy

Principal Consultant, Southeast U.S.
Want to see the recording of this session? You can fill out the form above and your Keller Schroeder Account Manager will be in touch with the recording.
AI adoption is accelerating, but organizations are either moving too fast to secure it or too cautiously to realize its value.
In this session, we’ll break down practical, real-world strategies to help you safely roll out AI capabilities without slowing innovation. We’ll cover how to establish the right governance framework, protect sensitive data, and address emerging risks in AI-enabled applications.
Whether you’re experimenting with tools like Copilot or building custom AI solutions, this webinar will provide clear guidance to reduce risk while moving forward with confidence.

Director, Information Security Governance

Principal Consultant, Southeast U.S.
AI adoption doesn’t have to be overwhelming. Join us to learn how to take the next step with confidence.

Learn 6 lessons for building a secure Microsoft Copilot Studio AI agent that queries live Azure SQL data using natural language.

Practical AI and Operational AI help businesses move from demos to measurable production value.

Moving beyond popularity to evaluate AI tools based on security, compliance, governance, and enterprise fit.

AI is transforming enterprise reporting, but success starts with readiness in key data, governance, security, and strategy.