Feasibility Model Version Control

Q: How does the automation handle version naming and file organization?

The system assigns consistent version numbers automatically and stores all versions in a centralized location with complete metadata. Previous versions are archived automatically, eliminating duplicate files and naming confusion.

Q: Can the automation work with models stored in different locations?

Yes, the automation monitors both spreadsheet tools and shared drives, so models can be uploaded from any standard location. It automatically syncs versions across all connected systems.

Q: What if stakeholders need to request changes to the model?

Feedback and sign-off requests are tracked automatically within the system, and the project manager is notified of any outstanding reviews. Exception handling flags models that require additional review or approval.

Q: Does the automation update project records in real time?

Yes, as soon as a new version is created, the automation updates project tracking systems with the new model version and key outputs, eliminating manual data entry and keeping records current.

Keeping one current feasibility model as assumptions change through the deal.

132 hrs

Manual time identified

Companies have mapped

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About This Automation

Feasibility model version control involves manually comparing updated models to previous versions, documenting changes, and distributing updates to stakeholders across email and shared drives.

Automation compares models automatically, generates change summaries, updates project records, and notifies stakeholders in a single workflow. All versions are tracked in a centralized audit trail with no manual file management.

Key features:

Compare model versions automatically and flag all assumption and output changes

Generate structured change summaries for stakeholder communication

Create version records with consistent naming and centralized storage

Update project tracking systems with new model data in real time

Notify stakeholders and track review status without manual email follow-up

Maintain a complete audit trail of all model versions and changes

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Manual stakeholder follow-up Project managers spend significant time monitoring email for feedback and chasing non-responders.	80%
2	Duplicate and lost files Multiple copies of models are saved to different locations, creating confusion about which version is current.	67%
3	Inconsistent version tracking Version logs are manually maintained in spreadsheets and often fall out of sync with actual files.	53%
4	Change summary delays Analysts spend time manually writing change summaries instead of focusing on model analysis.	40%
5	Slow project record updates Manual updates to project tracking systems lag behind model changes, creating data inconsistency.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

8.7/ 10

AI Fit Rating™

8.7/ 10

Automation Lift Index™

8.5/ 10

Hidden Overhead™

7.3/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Model file updatedtrigger

The automation detects when a feasibility model file is modified or a new version is uploaded to the designated project folder.

2. Extract model metadata and changes

The automation analyzes the updated file, compares it to the previous version, and identifies key changes in assumptions and outputs.

3. Generate change summary

The automation creates a structured change summary including what changed, the impact on key metrics, and the reason for the update.

4. Create version record

A new version record is created with the model name, version number, date, author, change summary, and a link to the file.

5. Update project record

The project record is automatically updated with the new model version, key outputs, and a timestamp.

6. Notify stakeholders

A message is sent to the project channel with the change summary, key metrics, and a link to the version record.

7. Log version in archive

The previous version is automatically moved to an archive folder and marked as superseded.

Most popular tool stack used

— the complete tool combinations companies use

52% of companies

28% of companies

19% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

Every scenario checked and signed off before the automation goes live.

Frequently asked questions

Everything you need to know before mapping this process.

What happens when a new model version is uploaded?

The automation immediately compares it to the previous version, identifies all changes in assumptions and outputs, and generates a change summary for stakeholder review. Stakeholders are notified automatically with the summary and a link.

How does the automation handle version naming and file organization?

Can the automation work with models stored in different locations?

What if stakeholders need to request changes to the model?

Does the automation update project records in real time?

View more FAQs

Process pain:8.7/10

Mapped by:6 Companies

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Page updated 10 August 2026