Draaftly Feasibility Early access
Feasibility studies where every number can be checked
Draaftly Feasibility brings the market evidence, the assumptions and the financial model into one project. The numbers are calculated in code, and each input points to a source or a named assumption.
- Capital cost
- $4.20m
- Source
- Project IRR
- 21.4%
- Computed
- NPV at 12%
- $2.11m
- Computed
- Payback
- 4.4 years
- Computed
- Minimum DSCR
- 1.09× (year 1)
- Computed
- Average DSCR
- 2.50×
- Computed
Banker and Investor Simulator
“Debt cover is 1.09× in year 1, below the 1.20× most lenders expect. What supports first-year revenue of $1.10m, and would you accept a six-month grace period on repayments?”
Why feasibility studies get challenged
- The report text and the spreadsheet drift apart as figures change late in the project.
- Assumptions sit in someone’s head or a hidden tab, so a lender’s first question stalls the deal.
- Market data is copied without a date or page reference, and nobody can find it again.
What Draaftly Feasibility produces
Word and PDF for the report, Excel for the model, PowerPoint for the board or investor summary. All in your house style.
- Market and demand assessment
- Demand drivers, market size, competition and pricing, each with sources.
- Location and site review
- Access, catchment, zoning and infrastructure notes from the documents you provide.
- Technical and capacity plan
- Capacity, phasing, equipment and staffing assumptions, set out in tables.
- Capital and operating costs
- Capex and opex schedules, with each line linked to a quote, benchmark or assumption.
- Financial model
- Revenue build-up, P&L, cash flow, funding plan, NPV, IRR, payback period and DSCR.
- Sensitivity and risks
- Scenarios, a sensitivity table on the inputs that matter most, and a risk register.
- Highest and best use studyComing soon
- Compares development options for a land parcel.
- Bankable DPR and lender packComing soon
- Detailed project report in the formats lenders ask for.
How evidence is handled
The rules that keep your work defensible. How we protect your data
The AI never does the arithmetic
Market sizes, cash flows, NPV, IRR, payback and DSCR are calculated by a tested calculation engine. The AI writes about the numbers; it does not produce them.
An assumptions register
Every input has a value, a basis, an owner and a status. Change one and the model, tables and text update together.
Source snapshots
Each source is saved with its date, page and the exact excerpt used, so a citation still works if the web page changes.
Built-in checks
- Early access
Defensibility Score
Shows how much of the study rests on sources versus assumptions, and where it is weakest.
- Early access
Banker and Investor Simulator
Asks the questions a credit committee would ask, using your own numbers.
- Early access
“What has to be true”
The short list of conditions the recommendation depends on.
- Early access
Source Snapshots
Saved copies of every source page used.
Questions people ask
Will a bank accept a Draaftly feasibility study?
We cannot promise any lender will accept or approve a project. Draaftly is built so that a lender can follow every figure back to its source or assumption, and a qualified person on your side reviews and signs off the study before it is submitted.
Does the AI calculate the financials?
No. All calculations run in a separate, tested calculation engine using the inputs in your assumptions register. The AI drafts the narrative around those results.
Can we check and change the model in Excel?
The Excel export is designed to keep the model’s inputs and formulas visible, so your team or the lender’s analyst can check and adjust it.
Which currencies, tax rules and markets does it support?
You set the currency, tax rates, inflation, financing terms and discount rate for each project, so it can be used for projects in any country.
Is our project data used to train AI models?
No. Draaftly never uses your data to train AI models. Our AI providers, Anthropic and Google Cloud, do not use customer data from their commercial services to train their models by default. We explain this in full on our Trust page.
Other modules in the platform
Be one of the first teams on Draaftly
Early-access members get a guided setup and a direct line to the people building the product.