Preparing an investment decision
Produces an Investment Committee memo that connects financial evidence, commercial risks and management assessments to a clear recommendation supported by a consistent weighted assessment.
— Finance & Investment
Data Room to IC Memo
Turns a target’s data room materials into a source-cited Investment Committee memo, reconciling financial evidence and assessing deal risks to support a clear investment recommendation.
- Finance & Investment
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Target company confidential information memorandum
- Output
- Source-cited Investment Committee memo
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Data Room to IC Memo for
Resolving conflicting financial evidence
Reconciles figures across audited accounts, management accounts and quality of earnings reports. Makes discrepancies and unresolved differences explicit in the investment assessment.
Challenging the management case
Assesses management alignment and tests forecast credibility against the target’s track record. Identifies where the investment case relies on assumptions that need stronger support.
Assessing necessary deal protections
Documents source-cited red flags and their implications for the investment decision. Supports a recommendation to proceed with protections where the evidence warrants a qualified commitment.
What it works from
- Target company confidential information memorandum
- Audited financial statements
- Management accounts
- Quality of earnings reports
What you get back
- Source-cited Investment Committee memo
- Reconciled financial figures and unresolved discrepancies
- Red flag register with supporting citations
- Management alignment assessment
— HOW IT BEHAVES
How Data Room to IC Memo produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Numbers lifted out of financial exports, ledgers and models
Figures buried in narrative financial exports, ledgers and models are extracted as data you can compute and compare with.
Composed as work product
Findings on the reporting period in scope are written up as a document that reads like professional output, with each claim tied back to a line item.
Criteria-based analysis of every line item
Each line item is assessed against explicit criteria you control, so the same standard is applied across the reporting period in scope on every run.
Grounded in your own financial exports, ledgers and models
The run works from financial exports, ledgers and models you supply, so conclusions about the reporting period in scope are anchored to your evidence rather than general model knowledge.
Why this is expensive by hand
Buy-side diligence often leaves investment teams with conflicting figures, scattered risk findings and a management forecast that is difficult to judge against historical performance. Preparing an investment decision is the typical trigger — produces an Investment Committee memo that connects financial evidence, commercial risks and management assessments to a clear recommendation supported by a consistent weighted assessment. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 weeks of manual work.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces source-cited Investment Committee memo plus reconciled financial figures and unresolved discrepancies. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. The practical effect: 1–2 weeks of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
Who it's for
- Finance directors and FP&A teams
- Investment, deal and corporate development teams
- Controllers and reporting managers
- Consultants building or reviewing business cases
Run it in Skillsize — or export it anywhere
Data Room to IC Memo exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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