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:

• Time back for the modeller — a structured verification pass in minutes, not a calendar booking.
• Earlier signal — formula, assumption, and structure issues surfaced while the model is still moving.
• Fewer late-cycle surprises — problems found before the pack goes to your reviewer or counterparty.
• A clearer pack when review happens — you arrive with known issues resolved and a severity-ranked view of what remains.

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:

• An independent third party with contractual responsibility
• Sign-off for credit, investment committee, or regulatory context
• Dispute or litigation support with documented workpapers
• Deep sector or deal-specific judgement beyond what software can encode

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:

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:

• Whether formulas and dependencies are consistent across the model
• Whether assumptions are documented and traceable
• Whether financial statements in the model tie where they should
• Whether scenario and version changes behave as you expect

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

When to use Kalc vs when to escalate to human review

Next step

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

← Practitioner guides · All docs