Workflow & positioning

Independent verification and consulting review — how they work together

Purpose: Explain how continuous, in-workbook verification extends the standard you already expect from external model review — without replacing it.

What you gain — time, confidence, and fewer late surprises

External model review exists for good reason. It brings independence, depth, and credibility before a lender, investor, or board relies on the numbers.

In practice, three constraints limit how often that standard can run:

  1. Lead time — a thorough review takes days or weeks; the decision may be days away.
  2. Cost and capacity — not every iteration of every model justifies a full engagement.
  3. Sample vs exhaustiveness — even careful human review must prioritise; a large workbook has thousands of interdependencies.

Kalc is designed to give you earlier, repeatable confidence inside the same Excel workflow:

This is not "automation instead of judgement." It is more frequent independent checking between the moments when formal review runs.

What stays the same — consulting and formal review keep their role

Kalc does not sign off on your model, advise on a transaction, or replace a qualified reviewer.

External review still matters when you need:

Kalc is built to support that process — not compete with it.

Synergies with your current consulting workflow

Think of Kalc as a preparation and follow-up layer around the review you already use:

StageHow Kalc helps
Before external reviewRun a verification pass; fix clear defects; document assumptions; export a findings summary for your reviewer
During iterationRe-run after material changes; see what resolved and what regressed between versions
After reviewConfirm remediations landed; catch accidental drift before the model leaves your control
Between engagementsMaintain a higher baseline of model hygiene when a full review is not yet warranted

Productivity: less rework in the review cycle; fewer back-and-forth rounds on issues that could have been caught earlier.

Reliance: you know where you stand before the call — not only after the report arrives.

Integration: works in Excel where the model already lives; optional API/MCP path for agent-assisted workflows that still need an independent check.

Low-risk adoption — a parallel pass, not a process rewrite

You do not need to change your consulting relationship to start.

A practical pattern many teams use:

  1. Keep your existing review arrangements unchanged.
  2. Add a parallel verification pass on your own models before they leave your desk.
  3. Share only what you choose — findings export, severity summary, or nothing at all.

Kalc is designed for client-confidential work: models can be analysed in memory without being written to long-term storage (see Privacy Notice and Zero Retention controls).

What Kalc checks (outcome language)

Kalc is designed to help you see whether a workbook hangs together — for example:

Findings are ranked by severity with cell-level evidence. You stay responsible for the analysis and the decision.

What this does not cover. Consistent with the standard scope of a model assurance review, a Kalc analysis does not assess: the commercial merits of the transaction; the reliability or integrity of the underlying data; the visual presentation of the workbook; or tax and accounting advice — unless you and your reviewer separately agree such analysis. Where your reviewer needs those, they remain part of the professional review.

The split in one line: the firm keeps the judgement, the opinion and the relationship. Kalc supplies the evidence behind them — the exhaustive, repeatable, documented check that makes the reviewer faster and more rigorous, not obsolete.

When to use Kalc vs when to escalate to human review

SituationSuggested approach
Model in active developmentRegular Kalc passes; fix before external review
Material model for lender / IC / boardKalc pass plus your usual external review
Dispute, audit, or regulatory filingHuman review required; Kalc may support preparation only
Quick sanity check before a client callKalc pass; escalate if findings are material

Next step

Request beta access at kalc.tech — invitation-only private beta.

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