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The Underwriting Model Builder for CRE

An instruction pack for organizing deal extraction, a five-year cash-flow model, and return scenarios. Includes an orchestrator, three task instructions, tool-specific setup recipes, and illustrative Excel files. Test it on redacted documents and review the figures, assumptions, and formulas before using an output.

NextAutomation

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The Underwriting Model Builder for CRE

Model Builder

Reuse a structured task brief while keeping source verification, model checks, and the investment decision with your team.

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We can connect the workflow to your data, documents and team standards. Bring your buy box to a discovery call.

Includes the full Underwriting Model Builder - the orchestrator + 3 skills:

Model Builder

Outcome: A proposed sequence for turning deal documents and approved assumptions into draft extraction, cash-flow, and return outputs for review.

Reuse a structured task brief while keeping source verification, model checks, and the investment decision with your team.

Deal Extractor

Outcome: Draft property facts and source references for an analyst to reconcile against the OM, rent roll, and T-12.

Organize extracted figures for review and measure whether the workflow reduces re-keying after corrections.

Cash-Flow Modeler

Outcome: A draft five-year pro forma based on reviewed inputs and approved assumptions, with formulas and scenarios to check.

Use a repeatable modeling brief and illustrative workbook while retaining analyst review of every material input and calculation.

Returns & Sensitivity

Outcome: Draft sources and uses, capital-stack, return, and sensitivity outputs for defined assumptions. Check the equity cash flows, loan payoff, IRR, and equity multiple before using the results.

See the whole return picture and how it moves - not a single hero number - before you take a deal to the committee.

Start with a structured workflow instead of a blank brief. Use your deal documents and approved assumptions to draft the extraction, cash flow, and return scenarios. An analyst still needs to reconcile the source figures, check formulas, resolve missing information, and approve the result.

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The Underwriting Model Builder for CRE

Can AI build a CRE underwriting model from a deal PDF?

AI can help extract figures and draft a model, but a complete, accurate underwrite is not guaranteed. This pack provides instructions and illustrative Excel files for testing that workflow. An analyst must reconcile the source documents, keep historical figures separate from assumptions, check formulas, and approve the result.

How do I install and run it?

Download and extract the component ZIPs. Each contains a system prompt, tool-specific setup files, a README, and an illustrative Excel workbook. Follow the recipe for your chosen tool. For Claude Code, the skill files are under install/claude-code-skill; these ZIPs are not packaged as direct native Claude web Skill uploads. Test each stage and its handoff with a known example before using your own deal documents. File processing, spreadsheet generation, and orchestration depend on your tool and configuration.

Is the model accurate, and does it replace my judgment?

Accuracy is not guaranteed. The instructions can produce errors or proposed assumptions when information is missing. Keep unsupported source figures unresolved, identify every assumption, and require reviewer approval before carrying it into the model. Reconcile the source data and independently check calculations. The Excel files contain illustrative figures and do not validate a live deal.

Where AI changes the answer

The pack supplies reusable instructions for extracting deal figures, drafting a five-year model, and examining return scenarios. The included workbooks are illustrative examples. Configure the workflow in your chosen tool, reconcile source figures, approve assumptions, and verify formulas before relying on an output.

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