Overview:

This session works through the most common problems professionals actually run into when using Copilot inside Excel, and pairs each one with a specific, practical fix - not a broad AI orientation, and not a tour of Microsoft 365 features.

It opens with the frustrations users report most often: formula suggestions that don't fit the dataset's actual structure, cleanup requests that need multiple attempts before the formatting is usable, and summaries too generic to use without heavy editing. Each is traced back to a specific mismatch between how the request was framed and how Copilot interprets context inside Excel specifically.

From there, the session introduces a structured approach to prompting that reflects Copilot's particular behavior inside the Excel interface, so the fix isn't tied to a single example but becomes a repeatable troubleshooting habit. Attendees learn how to recognize when a first result has missed the mark, how to adjust the prompt rather than abandoning the task, and how to verify a suggested formula or cleaned dataset before it's used in a live file.

The session closes with a reusable prompt library addressing the exact problem areas covered earlier, along with a simple checklist for catching mismatches before they reach a shared document. Attendees leave with fixes for the specific problems they're most likely already hitting, not a list of features they haven't tried yet.

Why you should Attend:
Every employee who has tried Copilot for a spreadsheet task, gotten an unsatisfying result, and reverted to manual work has drawn the wrong conclusion - not "I need to adjust my approach," but "this doesn't really work for what I need." That misdiagnosis has a direct cost: a licensed tool goes underused, and the manual work it could have shortened continues indefinitely.

The more serious risk belongs to users who don't give up, but also don't adjust - the ones who keep accepting the first result Copilot gives them, whether or not it actually fits the dataset, and paste it directly into a live spreadsheet. That habit is how an unnoticed formula mismatch or a poorly-cleaned dataset ends up in a shared report, and by the time it surfaces in a client deliverable or leadership review, the cost is measured in credibility rather than time.

There's also an organizational angle specific to Microsoft 365 environments: leadership increasingly expects a visible return on that licensing investment, and a team that has learned to troubleshoot and correct Copilot's outputs effectively is positioned to get meaningfully more out of the same license than a team without that skill. That gap has nothing to do with the tool and everything to do with whether anyone was shown how to work through its rough edges.

This session addresses the actual problems users report with Copilot in Excel, not hypothetical ones, and gives every attendee a direct fix for each.

Areas Covered in the Session:

• The most common problems users report when using Copilot in Excel
• Why generic prompts produce formula mismatches and unusable outputs
• Fixing formula suggestions that don't fit the dataset's structure
• Solving inconsistent formatting and repeated cleanup attempts
• Preventing summaries and tables that are too generic to use directly
• Adjusting a prompt when the first result misses the mark
• Verifying Copilot-generated formulas and outputs before relying on them
• A reusable prompt library addressing these specific problem areas
• A checklist for catching mismatches before they reach a shared document

• Financial Analysts
• Operations Managers
• Business Analysts
• Administrative Professionals
• Project Coordinators
• Reporting Specialists
• Team Leads