Automate Excel Model Creation
Generate completely new Excel workbooks automatically on a schedule. Perfect for recurring reports, daily analysis, or any situation where you need fresh models generated regularly with updated data.
What It Does
The Create New Model automation generates a brand new Excel workbook each time it runs. Every execution produces a separate file with the latest data from your connected sources.
How It Works
When to Use This Automation
Create New Model automation is ideal for scenarios where each report should be independent and standalone:
Daily/Weekly Reports
Generate fresh analysis reports every morning with the latest data. Each day gets its own file for easy comparison and archiving.
Example: Daily sales performance report sent to management at 8 AM with yesterday's metrics and trends.
Period-Based Analysis
Create separate models for each time period (monthly, quarterly) with period-specific data and calculations.
Example: Monthly financial close package generated automatically on the 1st of each month with prior month's complete data.
Snapshot Reports
Capture point-in-time snapshots of data for historical comparison and audit purposes.
Example: Weekly inventory snapshot showing current stock levels, reorder points, and supplier information as of end-of-week.
Client Deliverables
Automatically generate client-specific reports that need to be delivered as separate files on a regular basis.
Example: Weekly client performance reports with branded formatting and client-specific KPIs delivered every Friday.
Setup Process
Setting up a Create New Model automation takes just a few minutes:
Define Your Model
Start by creating or describing the Excel model you want generated. You can either:
- • Use Viete AI to generate your initial template model
- • Upload an existing Excel file (.xlsx or .xls only) to use as a template structure
- • Describe the model structure in natural language
Note: Automation file uploads support Excel formats only. For other file types, consider using Workflows instead.
Connect Data Sources
Link the data sources that should populate your model:
- • Select from 8,000+ MCP-compatible data sources
- • Configure which data should populate which parts of your model
- • Set up any data transformations or filters needed
Configure Scheduling
Set when and how often the automation should run:
- • Choose frequency: hourly, daily, weekly, monthly, or custom (cron expression)
- • Set specific date and time for first run
- • All schedules use Norwegian time (Europe/Oslo timezone)
- • Next run automatically calculated based on frequency
Apply Template or Style (Optional)
For consistent formatting, choose one option (mutually exclusive):
- • Template: Use a saved workbook template for exact structure replication
- • Style: Apply formatting rules from reference models (markdown-based)
- • Cannot combine both—select template OR style, not both
- • Optional: Automations work without templates/styles
Review & Activate
Test your automation and turn it on:
- • Run a test execution to verify everything works correctly
- • Review the generated model for accuracy
- • Activate the automation to begin scheduled execution
Key Features
- Each execution creates an independent workbook
- Complete session history preserved for every run
- Automatic timestamping for easy organization
- No risk of overwriting previous reports
- Perfect for period-based analysis and archiving
- Easy comparison between different time periods
Real-World Examples
Marketing Agency Dashboard
Automatically generate client performance reports every Monday morning with the previous week's campaign data from Google Analytics, Facebook Ads, and the CRM.
Frequency: Weekly, Monday 6 AM
Data Sources: Google Analytics API, Meta Ads API, HubSpot CRM
Output: Branded client report with charts, metrics, and insights
E-commerce Daily Summary
Create daily sales summary with order metrics, top products, and revenue analysis from Shopify, delivered to the team every morning.
Frequency: Daily, 8 AM
Data Sources: Shopify API, inventory database
Output: Daily metrics dashboard with trends and alerts
Monthly Financial Package
Generate complete month-end financial reports on the 1st of each month with data from accounting system, bank feeds, and payroll.
Frequency: Monthly, 1st day at 9 AM
Data Sources: QuickBooks API, bank APIs, payroll system
Output: Complete financial close package with P&L, balance sheet, variance analysis
Best Practices
- Use descriptive naming conventions with dates (e.g., "Sales Report {DATE}")
- Test your automation with sample data before activating
- Set up notifications for successful runs and errors
- Review automation logs periodically to ensure data quality
- Archive old automation outputs regularly to manage storage
Explore Other Automation Types
Update - Replace Data
Overwrite existing data in a single model with current period information
Update - Add Data
Append new data to build cumulative historical records over time