Prompt
How do I ensure my acquisition underwriting with financial modeling software is compliant with audit and version controls?
Latest observation
Aug 7, 2026 · OpenAI APIWeb search: off
To make acquisition underwriting compliant with audit and version controls, treat the model like a controlled financial system rather than a loose spreadsheet. The goal is to ensure every assumption, change, and output is traceable, approved, and reproducible.
Key controls to implement
1) Use a single controlled source of truth
- Store the model in a centralized system, not on local drives.
- Restrict editing rights by role.
- Use check-in/check-out or lock mechanisms to prevent simultaneous conflicting edits.
- Keep a master version that is read-only except for authorized model owners.
2) Maintain version control discipline
- Assign a unique version number to every model iteration.
- Require standardized naming conventions, such as:
TargetCo_AcqModel_v1.0_2026-08-07TargetCo_AcqModel_v1.1_Reviewed
- Record what changed, why, by whom, and when in a version log.
- Preserve prior versions rather than overwriting them.
3) Build an audit trail into the model workflow
- Ensure the software logs:
- user identity
- timestamp
- changes made
- source data imported
- approvals/comments
- If the software lacks native audit logs, use external controls and documented review procedures.
- Retain supporting documentation for assumptions, comps, financing terms, and diligence inputs.
4) Separate input, logic, and output
- Use distinct sections or tabs for:
- assumptions and source data
- calculations and formulas
- outputs and summaries
- Lock formulas and protect calculation cells.
- Clearly label hardcoded inputs versus formula-driven values.
- This makes it easier to review changes and detect errors.
5) Implement approval workflows
- Require review by a second person before a model is used for IC, lenders, or other decision-making.
- Use sign-off checkpoints for:
- assumption changes
- debt sizing / capital structure changes
- final outputs
- Document approval names, dates, and scope.
6) Control data imports and external links
- Track all imported files and external data sources.
- Save snapshots of source data used in the model.
- Avoid live links to unstable files unless they are governed and tested.
- Reconcile imported figures to source documents.
7) Protect against unauthorized changes
- Use access controls based on job role.
- Enable MFA and strong password policies.
- Restrict exporting, copying, or sharing if the software allows.
- Use watermarking or read-only outputs for circulated versions.
8) Test and validate the model
- Perform independent model review and error checks.
- Reconcile outputs to prior versions and source documents.
- Run sensitivity and reasonableness checks.
- Document all test results and exceptions.
9) Preserve record retention
- Store:
- final approved model
- prior versions
- review notes
- assumptions support
- approval emails or workflow records
- Follow your firm’s retention policy and any regulatory requirements.
10) Align with your firm’s control framework
Depending on your industry, you may need to align with:
- SOX/internal controls
- SEC or other regulatory requirements
- investment committee governance
- internal model risk management policies
- records retention and e-discovery rules
Practical checklist
Before using the model in a live underwriting decision, confirm:
- Version number is current and logged
- Inputs are sourced and documented
- Formula cells are protected
- Change history is available
- Independent reviewer has signed off
- Outputs tie to source data and prior checks
- Final model is archived immutably or in controlled storage
Best practice if your software has audit features
If the platform supports it, turn on:
- audit trails
- user activity logs
- revision history
- approval workflows
- role-based permissions
- export logs
If you need a policy
A simple policy statement could be:
“All acquisition underwriting models must be maintained in controlled software with role-based access, version numbering, documented source support, review and approval prior to use, and retained audit logs for all material changes.”
If you want, I can also provide:
- a sample underwriting model control policy,
- a version control checklist, or
- a compliance-ready audit trail template.