Assessing a prospective investment
Provides a structured view of a public company’s financial position, market momentum and longer-term prospects. The assessment clarifies the investment case and the risks that could undermine it.
— Finance & Investment
Scores a public company's fundamentals alongside live market signals and research for near-term momentum, medium-term trajectory and long-term durability, reconciling all three into one investment-potential verdict.
1 week → ~15 minutes
For a full population, not a sample
No coding required
— USE CASES
Provides a structured view of a public company’s financial position, market momentum and longer-term prospects. The assessment clarifies the investment case and the risks that could undermine it.
Examines whether current financial performance and market signals support the rationale for holding a company. Separates near-term pressures from evidence of a more lasting change in investment potential.
Reconciles differences between fundamentals, research and market behaviour. Explains how those differences affect the short-, medium- and long-term outlook rather than obscuring them within a single verdict.
Produces an evidence-based diagnostic report with a consolidated investment-potential verdict. Gives advisers a clear basis for discussing the company’s attractions, vulnerabilities and outlook across different holding periods.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Current external sources on the leadership population are researched during the run rather than recalled from training data, and every source travels with the output.
Market activity around the leadership population is pulled in as it stands today, so the analysis reflects the current picture rather than a model's memory.
Each row of your export is processed on the same basis, so no leader is skipped however long the table is.
Findings on the leadership population are written up as a document that reads like professional output, with each claim tied back to a leader.
Derived columns are added row by row, keeping your source data and the judgement about each leader side by side.
A public company can show strong market momentum while its underlying finances weaken, or durable earnings while near-term sentiment remains poor. Assessing a prospective investment is the typical trigger — provides a structured view of a public company’s financial position, market momentum and longer-term prospects. The assessment clarifies the investment case and the risks that could undermine it. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1 week of experienced attention.
Here the same job runs as a Skill. Your material goes in; financial fundamentals assessment comes out, alongside short-term momentum assessment. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. The practical effect: 1 week of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
Investment Potential Analysis 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.
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.
Computes period-on-period movement across a financial summary and reconciles profitability, liquidity, leverage, cash generation and working capital into a triaged read on strengths, risks and priority actions.
Rolls stacked department budget submissions up by cost centre and department, compares the total to your envelope, and writes the consolidation note with credible trims.
Assesses a credit application against your own credit policy and returns a governed underwriting decision — approve, refer or decline — showing how affordability, risk and policy thresholds drove the outcome, and holding it for a credit officer sign-off before any letter is issued.
Computes gross profit and margin by product, customer, unit or geography, isolates loss-making and sub-scale lines, and explains where value leaks through discounting, cost-to-serve, mix or small orders.
Calculates actual-versus-budget variance per account in the database, ranks the top movers, then writes the commentary explaining what moved, why, and whether it is timing or permanent.