Let me tell you about a founder I met six months ago \u2014 I will not name them, but the story will feel familiar to many of you reading this.<\/p>\n
Revenue of \u20b98Cr. Growing 40% year on year for three consecutive years. Real customers, real retention, real product-market fit. The kind of business a Series A investor should be excited about. They had been in conversations with two VCs for four months. Both passed.<\/p>\n
When they came to me, the reason became clear within 20 minutes. Not the business \u2014 the business was excellent. The financial preparation. Five specific things that, when I looked at their materials, explained both rejections immediately.<\/p>\n
Their monthly financial report was a 48-row P&L exported from Tally with no context, no narrative, and no comparison to the prior month or the plan. An investor looking at it had two choices: spend 40 minutes building their own analysis, or move on. They moved on.<\/p>\n
An investor-grade MIS has exactly six components: revenue vs plan, burn rate and runway, gross margin, one key metric, what changed and why in two sentences, and what you need from your investor. That is it. Everything else is noise. I rebuilt their MIS in two hours. It went from 48 rows no one read to one page everyone understood.<\/p>\n
Their financial model showed revenue going from \u20b98Cr to \u20b928Cr in 18 months. Plausible for a hypergrowth SaaS business. But when the investor asked “what is your current monthly new customer addition rate?” the founder could not answer immediately. They looked it up. It was 3\u20134 new customers per month.<\/p>\n
At that rate, achieving \u20b928Cr in 18 months required either a 5x increase in new customer rate or a 3x increase in average contract value \u2014 neither of which was in the model. The investor did not say this directly. They said they would “follow up.” They never did.<\/p>\n
Projections are not a wish list. They are a mathematical consequence of assumptions about inputs you can actually influence. Every projection number needs a driver \u2014 a specific action or market condition that produces that specific result.<\/p>\n
The balance sheet showed \u20b91.8Cr in trade debtors, of which \u20b990L was over 180 days outstanding. The investor’s due diligence team flagged this. The founder’s explanation: “Some customers are slow payers.” That answer, without an ageing analysis and a customer-by-customer explanation, sounds like: “Some of my revenue may not be real.”<\/p>\n
Every debtor above 90 days needs a name, an outstanding amount, a reason for the delay, and the expected collection date. If you cannot provide this, the investor will provision for bad debt in their valuation \u2014 and your effective valuation drops.<\/p>\n
The founder’s father owned the office premises. The company paid \u20b92.4L per month in rent to the father. This is a related party transaction. It was not disclosed anywhere in the financial statements or the investor deck.<\/p>\n
When the due diligence team found it \u2014 and they always find it \u2014 the conversation shifted from “is this a good business?” to “what else is not disclosed?” That is an impossible position to recover from in a funding discussion. The transaction itself was not problematic \u2014 the non-disclosure was.<\/p>\n
The investor asked: “What is your LTV to CAC ratio?” The founder said: “Around 4x, I think.” The investor asked: “What is your payback period on a new customer?” The founder said: “Somewhere between 8 and 12 months depending on the segment.”<\/p>\n
Both answers are probably correct. But “I think” and “somewhere between” in a funding conversation communicates that these numbers are not being tracked monthly, which means the business is not being managed with financial discipline. Investors fund businesses where the founder knows their unit economics to one decimal place \u2014 not because the numbers are perfect, but because knowing them precisely signals operational rigour.<\/p>\n
We rebuilt the MIS format in two hours. We prepared a debtor ageing analysis with explanations for every significant outstanding. We disclosed the related party transaction in the deck with a market rate comparison showing the rent was fair. We built a projection model tied to specific monthly customer addition targets. And we created a one-page unit economics summary the founder could recite confidently in any conversation.<\/p>\n
Four weeks later, they received a term sheet. Same business. Same numbers. Different presentation \u2014 and a founder who could answer every financial question without hesitation.<\/p>\n
This is exactly what Bebaak does. Not magic. Not connections. Just the financial preparation that fundable businesses have \u2014 and that most founders do not know they are missing.<\/p>\n