Promoter and industry profile
Background, standing and sector context assembled into the narrative opening a reviewer reads first.
The world's first Detailed Project Report software powered by generative AI — built by the practice that has been writing these documents by hand since 2010.
A Detailed Project Report is not a template exercise. It is the document a credit committee, a scheme authority or a subsidy desk reads before it commits — and it is returned for the same handful of reasons every time: a ratio that does not reconcile, a projection without a stated basis, a section the guideline required and the draft omitted.
Projectzo built the first generative-AI system for this document because the practice already knew what gets a file returned. The software encodes fifteen years of that drafting — the structure, the reconciliations and the objections — and applies it in minutes instead of a fortnight.
A complete Detailed Project Report of up to sixty pages, structured to the sequence institutional reviewers expect: promoter profile, industry analysis, process and capacity, market demand, project cost, working-capital assessment, profitability projections, balance sheet, cash flow, repayment schedule, break-even, DSCR and sensitivity, and the CMA forms. Financial statements are internally reconciled before the file is released — the ratios agree with the statements because the same engine produced both.
Background, standing and sector context assembled into the narrative opening a reviewer reads first.
Capital expenditure broken to its components, with the funding pattern and promoter contribution set out.
Profitability, balance sheet and cash flow projected across the repayment horizon, internally consistent by construction.
Schedule, coverage and stress cases — the tests a credit committee runs before it approves.
Cycle, margin and limits computed to the method an appraising institution applies.
The supporting forms and schedules a lender asks for, generated alongside the report rather than after it.
Promoter details, the project, its cost and the funding pattern — entered on screen as the system prompts for them. No accounting background is assumed.
Cost components, working capital, projections, repayment and coverage are modelled together, then reconciled against one another rather than assembled separately.
Narrative sections and financial schedules are generated into the sequence an appraising institution reads, with the CMA forms and annexures alongside.
The file arrives editable. The judgement calls stay with you; the drafting, arithmetic and formatting do not come back.
Projectzo AI is documented in full on its own site — what it produces, the sections it covers, and how it is licensed.
View the softwareOpens projectreport.online — the practice's own software.
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