Client financial health review
Provides a structured assessment of a client's financial position across five connected areas. Highlights strengths and risks to support a focused advisory discussion.
— Finance & Investment
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.
1 week → ~25 minutes
For a full population, not a sample
No coding required
— USE CASES
Provides a structured assessment of a client's financial position across five connected areas. Highlights strengths and risks to support a focused advisory discussion.
Explains what changes between current and prior-period figures suggest about financial health. Distinguishes positive performance signals from movements that warrant closer scrutiny.
Brings profitability, funding and cash pressures into a consolidated view of priority actions. Gives management a clear basis for deciding where to focus financial attention.
Examines whether stronger trading performance is accompanied by sound cash generation and working capital. Identifies tensions that headline profit figures alone may obscure.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each row of your export is processed on the same basis, so no line item is skipped however long the table is.
Movement across the reporting period in scope is visualised from the computed data, so the trend is legible at a glance.
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.
Derived columns are added row by row, keeping your source data and the judgement about each line item side by side.
Detail rows are summarised into the grouped view of the reporting period in scope without losing the underlying line items.
Financial figures can tell conflicting stories: rising profits may mask weak cash generation, while growth can put pressure on working capital and borrowing. Client financial health review is the typical trigger — provides a structured assessment of a client's financial position across five connected areas. Highlights strengths and risks to support a focused advisory discussion. 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.
Skillsize turns that work into a Skill: you supply the material, and what comes back is consolidated financial health diagnostic, with absolute and percentage changes between periods. 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. In effect, 1 week of senior time compresses into ~25 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Financial Health Diagnostic 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.
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.
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.
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.