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Feasibility & Decision Engine

Test how financially and commercially feasible an opportunity is on your own data, how it holds up under favourable and adverse conditions, and which assumptions carry the outcome. Every figure is calculated deterministically; AI only reviews and explains.

The Zeno FinLab toolkit provides analytical decision-support information based on user-provided data and assumptions. It does not provide investment, financial, legal, tax, accounting, valuation or other professional advice.

Your analysis

Feasibility & Decision Engine is included with Zeno FinLab Plus at €9.90/month. Sign in to an account with active Plus access to use your analysis.

Questions

Frequently asked questions

Inputs depend on the opportunity type and can include price, revenue, costs, margin, financing, growth, exit and type-specific assumptions such as vacancy, royalties or synergies.

It calculates measures including EBITDA, investment required, debt service, NPV, IRR, DSCR, scenarios, sensitivity, break-even points and a feasibility score from the information supplied.

Inputs and outputs are labelled by source, and the assumption ledger and validation checks make missing or weak information visible. Results depend on the quality of those inputs.

They show how favourable, base and adverse assumptions, selected variable changes and break-even thresholds affect the model. They are not predictions or due diligence.

Optional Analyst and Challenge modes comment on the structured inputs and calculated results. AI performs none of the arithmetic and cannot change the model outputs.

The in-progress analysis is stored in the current browser. It is not presented as an account-synced Healthcheck snapshot.

The Feasibility & Decision Engine models the financial structure of a proposed opportunity — a business acquisition, commercial property, merger, new business, franchise or a custom case — from the inputs you supply. Every figure is calculated with plain arithmetic; the optional AI analyst only comments on the results and never changes them.

What it evaluates

  • Trading: revenue, growth and EBITDA margin, including a bridge from reported to adjusted EBITDA.
  • Investment: the total cash required, including price and costs.
  • Financing: debt, interest rate and annual debt service.
  • Returns: net present value, internal rate of return and exit value.
  • Type-specific items: for example vacancy for property, royalties for franchises and synergies for mergers.

Inputs, assumptions and outputs

Every headline value is labelled with its source — actual historic figures, your own entries, AI-suggested values or derived calculations — so you can see what the analysis rests on. An assumption ledger, validation checks and a model-confidence rating make gaps visible.

How changing assumptions affects the analysis

The engine runs favourable, base and adverse scenarios. The default adverse case lowers revenue growth by 6 percentage points and margin by 4 points, reduces the exit multiple by 1 and raises interest rates by 2 points. Sensitivity tables, break-even points and potential deal-breakers show which assumptions matter most.

Hypothetical example

A custom case with €500,000 revenue and a 12% EBITDA margin produces €60,000 EBITDA. In the default adverse scenario the margin falls to 8%, reducing EBITDA to €40,000 before growth effects — a change that then flows through debt cover and returns.

Important limitations

  • Results depend on the quality of the inputs and assumptions you provide.
  • The analysis is a structured model, not due diligence, a valuation or investment advice.
  • Legal, tax and market factors outside the inputs are not assessed.

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