Cash-flow scenario workspace
Profitable projects still create cash timing surprises. Explicit cash timing assumptions for project-based income.
01The offer
For owners of project-based service companies, turn opening cash, receivables, payables and payment assumptions into editable cash scenarios and assumptions. Address the recurring problem: profitable projects still create cash timing surprises. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.
- For
- Owners of project-based service companies
- Takes in
- Opening cash, receivables, payables and payment assumptions
- Delivers
- Editable cash scenarios and assumptions
- Message
- Cash-flow scenario workspace for owners of project-based service companies. Explicit cash timing assumptions for project-based income. Demonstrate the claim through a thirteen-week cash timing scenario.
- Lead magnet
- A thirteen-week cash timing scenario
02How it works
- Validate opening balances
- Model payment timing
- Schedule commitments
- Compare collection scenarios
- Expose shortfall dates
- Reconcile actual movements
Workflow
Validate baseline inputs, confirm definitions and constraints, select editable assumptions, calculate feasible alternatives, inspect sensitivities, let the responsible person approve a plan, and compare later actuals with the recorded assumptions. Start with opening cash, receivables, payables and payment assumptions and finish with editable cash scenarios and assumptions.
AI and people
Extract input context and explain scenario differences. Use deterministic calculations or explicit optimization for quantities, compatibility, dates and prices. Show uncertain assumptions. Never let generated prose silently change the calculation rules.
Screens
Key screens: Cash timeline, assumption editor, scenario comparison. Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. In this product, the first view is cash timeline, followed by assumption editor and scenario comparison.
Admin
Scenario versions, baseline reconciliation, constraint checks, assumption ownership, reviewer approvals, plan exports and actual-versus-plan tracking.
03Market gap
Alternatives buyers use today
Spreadsheets, planners, specialist forecasting tools and existing scheduling or configuration software. Differentiate on this specific proposed advantage: explicit cash timing assumptions for project-based income. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Where this wins
A validated domain model, customer-approved constraints and forecast or decision history that improves practical planning. For this solution, build around explicit cash timing assumptions for project-based income. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
04Why now
Finance teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: profitable projects still create cash timing surprises.
05Proof & signals
Channels where buyers gather: Fractional CFO networks. Metrics that prove it works: Forecast error, reconciled balances.
Paid pilot
Reproduce a known historical plan, test missing inputs and boundary constraints, then run a new scenario. Compare feasibility, reconciliation and observed error rather than judging the quality of the explanation alone. For this solution, use opening cash, receivables, payables and payment assumptions and evaluate editable cash scenarios and assumptions. Agree success thresholds with the buyer before starting; collect a baseline for forecast error, reconciled balances. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
06Execution plan
MVP
Begin with owners of project-based service companies and one recurring use case. Build the first two modules: validate opening balances; model payment timing. Provide operator assistance for the third module: schedule commitments. Deliver editable cash scenarios and assumptions through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
First 30 days
Week 1: interview five prospective buyers in this segment: owners of project-based service companies. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: a thirteen-week cash timing scenario. Week 3: present it through fractional CFO networks and seek one narrowly scoped paid pilot. Week 4: review forecast error, reconciled balances, total delivery effort and a concrete renewal decision before increasing scope.
After the pilot
After paid pilots establish value, automate the remaining modules: compare collection scenarios; expose shortfall dates; reconcile actual movements. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
Retention
Refresh inputs, compare recorded assumptions with actual outcomes and refine validated constraints. Expand scenario complexity only when the buyer uses it for a decision.
Integrations
Accounting exports, invoice records and finance review processes. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. These are candidate integration categories, not verified supported connectors.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: validate opening balances; model payment timing. Manual review in the loop. | 5 days | $10,000 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 6 days | $12,000 |
| Full product | Remaining modules: compare collection scenarios; expose shortfall dates; reconcile actual movements. Self-serve onboarding, billing, monitoring and the wider integration set. | 2 weeks | $17,000 |
| Total | $39,000 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $50–$100 | $50–$100 | $100–$200 |
| Full product (about 50 customers) | $190–$380 | $350–$700 | $540–$1,080 |
Revenue model to test
Test USD 750-3,000 for a scoped planning setup and review, then USD 200-900 monthly for refreshes within agreed complexity. Data integration and optimization are separately scoped. All ranges are hypotheses.
Cost drivers
Data preparation, domain modeling, validation, scenario computation, reviewer support and ongoing assumption maintenance.
Safeguards
Reconcile calculations to approved records. Keep proposed entries and payment actions under finance-team control. Never invent missing financial inputs. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
Take it further
Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.