AI TRAINING
Excel to Smart Sheets: SME Data Modernisation
Leave spreadsheet chaos behind and build structured, automated data workflows your whole team can rely on.
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Run the diagnostic →What it covers
This hands-on workshop guides spreadsheet-heavy small businesses through migrating chaotic Excel workbooks to structured Google Sheets or Airtable setups. Participants learn AI-assisted schema design, build basic automations, and understand the signals that indicate it is time to graduate to a proper database. The format combines short concept sessions with immediate practice on participants' own real data, ensuring takeaways are usable from day one.
What you'll be able to do
- Redesign a messy Excel workbook into a normalised multi-table structure in Google Sheets or Airtable
- Use an AI assistant to draft and validate a data schema for a specific business process
- Set up at least one end-to-end automation (e.g. form submission → record creation → notification) without writing code
- Identify the concrete thresholds, row counts, user count, query complexity, that signal a move to a real database is warranted
- Apply data validation and access controls so team members cannot accidentally corrupt shared data
Topics covered
- Diagnosing workbook chaos: signs your spreadsheet has outgrown itself
- Relational thinking: designing a clean schema without a DBA
- Google Sheets structured best practices: named ranges, data validation, and linked sheets
- Airtable fundamentals: tables, views, linked records, and rollups
- AI-assisted schema design using ChatGPT or Copilot to draft data models
- Basic automations: Zapier, Make, or native triggers in Sheets and Airtable
- When to graduate: signals that you need a real database or lightweight ERP
- Data hygiene and change management for small teams
Delivery
Typically delivered as a one or two-day in-person or remote workshop. Participants are asked to bring one real spreadsheet they use regularly; the afternoon sessions are structured as guided clinics where they rebuild it live. Materials include a schema design template, an automation recipe library, and a decision checklist for tool selection. Hands-on time accounts for roughly 65% of total duration. Remote delivery works well via shared Google Workspace or Airtable sandbox environments.
What makes it work
- Starting the migration with one contained, high-pain process rather than attempting a full overhaul at once
- Assigning a single internal 'data owner' who maintains schema decisions after the workshop
- Agreeing on naming conventions and column types as a team before migrating any data
- Scheduling a 30-day review to catch workarounds that have crept back in
Common mistakes
- Recreating the same flat-file logic in the new tool instead of adopting a relational structure
- Automating broken processes, digitising chaos rather than redesigning the workflow first
- Choosing Airtable for everything without considering row limits and cost as data grows
- Skipping data validation rules, leaving the new setup as fragile as the old spreadsheet
When NOT to take this
A business that already has a developer on staff and more than 50,000 rows of operational data in spreadsheets, they need a database migration project, not this workshop.
Providers to consider
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