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Venturelly

Business planning, done properly

The business plan your lender actually reads.

Most AI tools write confident prose over invented numbers. Venturelly computes every figure from a real financial model, cites every market claim, and refuses to export a plan whose words contradict its spreadsheet.

No card to start. Read every page before you pay anything.

A single site, financed with an SBA loan and an owner injection.

240

Footfall × conversion

$9.50

Per transaction

Move a driver and every figure recomputes. This is the production engine running in your browser — not a recorded example.

Year 3 revenue

$954.1K

Year 3 EBITDA

$328.2K

Breaks even

Month 3

Min. DSCR

3.32×

  • Revenue
  • EBITDA

Balance sheet ties in all 60 periods5-year model

Build this for my business
  • 3

    Linked statements

    P&L, cash flow and balance sheet that actually tie

  • 60

    Monthly periods

    Monthly detail throughout, not annual summaries

  • 7

    Revenue models

    Driver builds, from footfall to take rate

  • 20

    Validation checks

    Twelve of them block export

Why plans get rejected

Four of the five reasons have nothing to do with the writing.

The category solved prose years ago, and it turned out not to be the problem. What sinks a plan is arithmetic that does not hold, claims nobody can check, and a narrative that argues with its own spreadsheet.

01

Underwriter math

The ratios a credit analyst computes, computed first

Founders submit plans; banks compute ratios. Venturelly renders the lender's own arithmetic — debt service coverage, the amortisation schedule, coverage against the threshold in force, working-capital cycle — and tells you where you stand before an underwriter works it out for you.

DSCR, coverage, current ratio, debt-to-equity, owner compensation by year.

02

Citation-grade research

Every market claim carries a dated, retrievable source

The most commonly cited reason plans get rejected is unsourced market claims — and AI tools are notorious for inventing statistics and citing reports that do not exist. Every figure we put in a market section is footnoted and dated, and the plan exports with a sources appendix.

Zero uncited claims, or the plan does not export.

03

Consistency engine

The prose cannot contradict the model

The classic tell: the narrative claims 40% growth while the model says 12%, or the text mentions eight employees and payroll carries five. We diff every figure in the written plan against the financial model and hold export until they agree. Change a price, and every dependent number and every sentence that cites one updates together — with a version history and a visible diff.

Reconciled on export. No silent drift, and nothing overwritten without a snapshot.

04

Plan review

Graded against the rubric your reader actually uses

Before you send it, the plan is scored against the criteria a lender, an investor or an adjudicator applies — with a severity-ranked redline and a queue of specific fixes. You can also bring a plan you wrote elsewhere and have it graded.

Twelve blocking checks, eight advisory. Each finding names the remedy.

05

AI-disruption resilience

The question lenders started asking this year

Since early 2026, lenders have been asking small-business borrowers how AI could reshape their industry over the life of a ten-year loan — and declining businesses that look automatable. No other planning tool addresses it. We ship a structured module: task-level exposure, your moat, and an adoption roadmap.

A section your reader is looking for and your competitors' plans do not have.

Provenance

Every number says where it came from.

A plan that distinguishes what you told us from what we assumed is more credible than one that flattens both into confident prose. So every driver is tagged, and the tag is printed in the finished document — because the fastest way to lose a reader is to sound equally certain about a number you measured and a number you guessed.

  • Known. You measured it or you have it in writing.
  • Estimated. Your judgement, recorded as such.
  • Benchmark. An industry median, named and dated.

Benchmarks warn — they never overwrite

“A 42% net margin is roughly five times the median for a full-service restaurant. A lender will challenge this before anything else in the plan.”

We flag the assumption with its source and let you justify it. Silently substituting a median would destroy the specificity that makes your plan yours — and specificity is the whole argument.

Built for a specific reader

A plan is a document with an audience of one.

What a credit committee needs and what a seed investor needs are different documents. Venturelly builds for the reader you name.

Pricing

Read the whole plan first. Pay once, when you are ready to send it.

A consultant-written plan runs $2,200 to $3,500, and a specialist immigration plan considerably more. A $9.99 generator produces something you would not put in front of a credit committee. We priced for the gap: one payment, for a document that holds up.

  • Free to generate and read — no card, no watermark on screen
  • $199 once to unlock export and sharing, permanently
  • $39/month, optional, to keep the plan live and tracked
  • 30-day guarantee and one-click cancellation

One finished plan

$199

once, not per month

See what's included

Questions

Asked and answered.

  • A general model writes plausible prose and invents the numbers. Here the financial model is a deterministic engine — the AI proposes assumptions, the engine computes every figure in every statement, and the narrative is then written around what the engine produced and checked against it. That is why the balance sheet ties and the growth rate in the text matches the model.

Start with the numbers. The words are the easy part.

Answer a structured intake, and get a complete plan on a financial model that ties — in about the time it takes to read this page twice.