Finance and fintech focus

Find the control gaps in your critical finance spreadsheets.

Keep Excel where it works. Add read-only preservation, formula checks, ownership, controlled AI review, and an evidence trail around the files that drive close, pricing, risk, fees, and reporting.

No workbook upload is required to use the checklist or book the first assessment call.

Reference architecture for read-only Excel governance automation

Reference architecture. A real engagement is scoped to the organization's policies, systems, workbook risks, and approved model boundary.

Why this matters

Excel often behaves like a production system without production controls.

Replacing every workbook can be slow and disruptive. A governance layer starts by making changes, dependencies, ownership, and exceptions visible while leaving the source file untouched.

Hard-coded assumptions inside formula blocks
Broken references and stale external links
Formula changes that bypass review
Critical files with unclear ownership
Raw workbook data sent to an AI model unnecessarily
No durable evidence for audit or incident review

What the checklist gives you

  • Twelve control areas written for finance, risk, audit, and technology stakeholders
  • A simple 0-2 self-rating for prioritization, not a certification score
  • Evidence examples to request for each control
  • A 30-day action plan template for the highest-priority gaps
  • A clear boundary between model reasoning and deterministic validation
Get the checklist
The 12 controls

A practical first review, not another AI maturity score.

Use the checklist to find evidence gaps, assign owners, and decide which controls need a deeper assessment.

01

Business ownership and materiality

02

Read-only preservation and file hashing

03

Version and change history

04

Formula integrity and drift checks

05

External links and dependencies

06

Macros, hidden sheets, and named ranges

07

Deterministic validation and reconciliations

08

Access control and sensitive-data boundaries

09

AI scope and context minimization

10

Sandboxed code execution

11

Risk scoring and human approval thresholds

12

Evidence, alerts, exceptions, and periodic review

A controlled AI boundary

Raw rows do not need to enter a model by default. The model can review approved formulas, metadata, structure, and policy context, while deterministic code handles calculations and reconciliations inside a constrained sandbox.

What this is not

The checklist is not an audit opinion, regulatory certification, legal advice, or evidence that a workbook is correct.

It is a structured way to identify missing controls and prepare a focused technical and operational assessment.

Start with evidence, then decide what to automate.

Download the checklist for an internal review, or bring one representative workflow to a LetuxTech assessment. No workbook upload is required for the first conversation.