The numbers Brief Episode map Timeline Takeaways Charts Quotes Clips Glossary Go next Transcript

Episode 175 · Enterprise · 79 min

Stay in the room till the numbers move

India has 856 companies above ₹2,000 crore and 13,300 stuck between ₹100 crore and ₹2,000 crore — too small for a $2-3 million McKinsey engagement, too complex for a lone adviser. Sixteen years and 800 companies in, Prequate's Pradyumna Nag and Amogh Giridhar lay out the firm they built for that band: cash for value, equity for outcomes, 30% leaner because of AI — and certain no model reads a room.

GCCs & services AI & machine learning Founder journey

Pradyumna Nag and Amogh Giridhar

Co-founder and CEO, Prequate · with Vishal Krishna

1:18:55

Said in this episode

▶ 2:50

800 / 16 yrs

Companies advised, and the years it took

Nag's count on air — the episode title says 700-plus. The other running tally: every single Prequate employee has at some point been offered a job by a client, which he calls a 100% track record.

▶ 7:14

13,300

Companies between ₹100 and ₹2,000 crore

Of roughly six lakh businesses that have grown beyond local scale, only about 856 cross ₹2,000 crore. The band in between — most of which, he says, you have never heard of — is Prequate's whole market. Both counts are hedged as estimates.

▶ 9:02

$2-3M

What a McKinsey engagement costs

Out of reach for the ₹50-100 crore business that 'doesn't know who to go to', while a large corporation can hire ten firms like Prequate to do one person's job. That spread is the pitch.

▶ 39:18

86% / 60%

AI projects that miss ROI, and those shelved

Quoted by Nag against consultants who wear rose-tinted glasses about AI because they are also paid to implement it. Neither figure is sourced on air.

▶ 57:51

-30%

Workforce trimmed with no loss of delivery

'We could never have imagined a circumstance where we would have been able to achieve this.' The firm runs about 15 people, each now armed with what they call an Iron Man suit of internal AI tooling.

▶ 58:06

5,000 → 5

Applications a year, and hires

The filter is agency: could this person build or run a business like a client's themselves? 'Agency is something that no technology can replace.'

The brief

The argument in sixty seconds

The pitch is a census. Of the roughly six lakh Indian businesses that have grown beyond local scale, about 856 cross ₹2,000 crore in revenue — the large corporations, who can hire ten firms for one person's job — while 13,300 sit between ₹100 and ₹2,000 crore, mostly companies you have never heard of, who can neither afford a $2-3 million McKinsey engagement nor absorb the advice it produces. Prequate, founded out of KPMG in 2010 as 'a McKinsey for the mid-market', is built for that band: a strike force that goes in first, learns the terrain fastest, and stays in the room till the numbers move — the opposite of what Nag calls copout-walkout consulting. The commercial architecture follows: a Guild of integrated operators instead of a marketplace of partners, and engagements priced in cash for value and equity only for outcomes, because an investor on one side of the table and an adviser on the other never balances. The best client stories are about baskets, not items — the apple pie that cost ₹600, sold at ₹350 and anchored ₹2,000 orders; the daily bread added to a bakery's shelves because somebody stood in the store and watched. AI runs through the back half as both threat and armour. The thesis: what AI collapses is hours, so hour-sellers disappear and outcome-sellers don't. The firm cut its workforce about 30% with no loss of delivery, gave everyone an 'Iron Man suit' carrying 16 years of organisational knowledge, and preaches AI economics to clients — 86% of AI projects fail to reach ROI, they quote, and the industry spends $675 billion a year to earn $75 billion. What AI doesn't do: read a room, notice a bored founder, or know whether the product fits your organisation. The scarce input is agency — 5,000 applications a year, five hires — and the stated destinations are immodest: the most admired mid-market consulting firm, and the greatest place in the world to work.

Worth your time if you are

Second-generation owners of ₹100-2,000 crore family businesses

Boutique consultants still pricing engagements in hours

Founders tempted to pay advisers in equity instead of cash

Operators weighing an AI deployment with no ROI case

Young CAs deciding between being employed and building

Episode map

Where the conversation travels

Every block is a chapter, coloured by what it's about. Click any of it to jump straight to that minute on YouTube.

Founder journeyIndia macroProduct strategyGCCs & servicesUnit economicsAI & machine learning

01Cold open: the firm that stays in the room 0:00 Vishal frames the hour with India's 13,300 hundred-crore-plus companies waiting to transform, and Pradyumna Nag separates Prequate from the investment banks and the copout-walkout consultants: a partner that executes on the ground, and stays till the numbers move. Sixteen years, 800 companies — and a 100% record of clients trying to hire its people. 02Second gen sells on aspiration 4:40 Amogh Giridhar's read of the new buyers: second- and third-generation owners with founder-grade skin in the game who no longer want problems solved so much as aspirations built — and who have realised the unsexy backbone businesses of manufacturing, logistics and supply chain can be brands with categories of their own. 03Six lakh firms, and the 13,300 in between 6:43 The market maths. Of some six lakh businesses that have outgrown local scale, about 856 sit above ₹2,000 crore and can hire ten firms for one person's job; the 13,300 between ₹100 and ₹2,000 crore can neither afford a $2-3 million McKinsey engagement nor absorb the advice — which is the capability gap Prequate is built around. 04Two cafés and the problem of firsts 9:33 What unites the good clients is ambition — a founder with two cafés who wanted to build the next Coffee Day — and what they buy is help with the firsts: first franchise, first menu, first data infrastructure. Usually not a money problem, and not a tech problem either. 05Thirty years versus thirty businesses 12:36 The point of entry into a founder who has run his company longer than you have been alive: 'in the last one year I've seen 30 businesses.' Plus the smart promoters who set deliberately unsolvable tests, and a deep-tech carve-out that had the plant in Hosur but needed a story US investors could read. 06The Guild, and the strike force 17:33 Independent operators give brilliant advice and cannot execute it. Prequate's answer is the Guild — practitioners integrated into its systems and SOPs — and a self-image borrowed from the Marine Corps: go in first, learn the terrain fastest, make real changes quickly enough to earn the founder's trust. 07The ₹350 apple pie that builds ₹2,000 orders 20:57 The Big Four instinct says kill the pie that costs ₹600 and sells at ₹350; the founder asks whether anyone checked the order value every time the pie is on the table — upwards of ₹2,000. Corner House's Death by Chocolate and the ₹1,200 bottle of Nando's PERi-PERi sauce run on the same logic: the item loses so the basket wins. 08You can't hire the team 25:38 Every client eventually asks Prequate's people to join them; it never works, because each of them is an accumulation of contexts from many businesses at many stages. Also why the marketplace model fails at transformation — no control of delivery — and why a 15-day estimate is honestly a 30-day one. 09ERPs, the clowns of the CFO's world 29:02 Vishal's Coimbatore story — ₹7-10 crore of ERP pride junked within three months of the consultants leaving — meets Nag's taxonomy: the implementer got the context right and the continuity wrong. And a well-funded company's CFO whose proudest recent achievement was getting ERP budget approved in only a year. 10Cash for value, equity for outcome 32:45 Equity instead of a retainer makes you an investor on one side of the table and an adviser on the other, and it never balances. The standard: pay in cash for value, in equity for outcomes — partly because, very Indianly, we only take seriously the things we pay for. 11If you sell hours, you disappear 35:04 The AI thesis. What AI collapses is the time analysis takes, so hour-sellers die and outcome-sellers don't. Internally it dissolved the consulting pyramid into a diamond with associates at the centre; externally the rule is AI economics — 86% of AI projects, they quote, fail to reach ROI and 60-odd% get shelved. 12The NOS kit needs a car 39:33 AI as the 0.5 added to a person who exists, not a replacement person: Giridhar's nitrous-oxide analogy, and the list of things no model does — read the room, notice the founder scrolling his phone, or survive contact with implementation as a two-person AI consulting firm. 13Context is local: bread on the shelves 43:58 Claude can tell you why a product category works; it cannot tell you whether it works in your organisation. The bakery insight — stock daily bread so families come in and the kid demands a pastry — came from a person standing in the store. Plus quick commerce as the real recent seismic shift, and Instagram advertising as an expensive novelty. 14Losing a client to AI, then arming up 48:03 Less than a year ago a founder wired an AI product across his CRM and booking systems and replaced a Prequate service with an hour of his own time. After the resistance passed — 'if we hadn't lost, we wouldn't have learned' — every person in the firm got an Iron Man suit carrying 16 years of organisational knowledge. 15Sandboxes and the $600 billion hole 50:50 The orange-juice bottle that cost a multinational 30-40% of sales argues for sandboxes, simulation and staggered rollouts before drastic changes. Then the industry maths quoted on air — $675 billion to deliver AI against $75 billion of revenue — and a joke that stops being one: businesses will need a CFO for AI. 16Five hires from five thousand 55:31 Where Prequate goes next: family offices funding 15-20-year legacies, deep tech that rewards the few who genuinely understand it, a workforce 30% leaner with no loss of delivery, and a hiring filter of one question across 5,000 applications a year — could this person build or run a client's business themselves? Agency, because no technology replaces it. 17Built to be employed 1:00:25 The culture answer: a high-trust environment, interviews that test intent and ownership over trainable skill. And the country-scale version of the diagnosis — India traded its people for cheaper labour, built a services DNA, and produces no great consumer products; the safety net has to go. 18Eleven years, and a chairman's office 1:05:02 How the co-founder and CEO have lasted eleven years together: one goal — the most admired mid-market consulting firm — with different methods. The Chennai group with seven businesses that never did hire its CFO, and the review process Prequate cut from a day a week to thirty minutes. 19The catalogue on rent: getting elders to sign 1:08:24 Vishal's case study: a family sitting on a Carnatic-music catalogue, happy with rent, the uncle and father shooting down the third generation's distribution plan. The playbook: name the cost of inaction, shrink the decision to the three or four things that matter, stage-gate it, and put everyone critical to it in the room. 20Bookshelves, and the perfection close 1:14:13 Giridhar reads the autobiographies of history's central figures and believes history repeats; Nag reads behavioural science and credits Thomas Friedman's The World Is Flat with making him want to start Prequate. The close is a definition of perfection: an unattainable target you aim at anyway, because chasing it keeps you the best version of yourself.

Timeline

The arc, briefly

Sixteen years from a KPMG exit to an AI-armed strike force of fifteen.

2005The World Is Flat plants the seed. Nag credits Thomas Friedman with the conviction that anybody anywhere can compete — he calls the book 'a big testament to Thomas Friedman's consulting mind' — and with making him want to build a firm around that idea. With AI, he now adds, anybody anywhere can compete on anything.

2010Chartered accountants walk out of KPMG. The founding story, told at length in EP 171: Big Four-grade work for companies that could not afford the Big Four. The ambition was 'a McKinsey for the mid-market', which he concedes took a little too much self-belief.

2014-15The capability years are tech years. Capital was flowing into enterprise SaaS built for the world, and much of Prequate's toolkit — above all, how to hyperscale — was formed on that work, before India's consumption story pulled family businesses out of their shells.

2015-16The acceptance turns. Until then, Nag says, clients resisted letting consultants do important things inside their organisations. What changed it was the second generation coming home from seeing the best companies in the world and asking why the same could not be built from here.

2016The sales guy joins. Amogh Giridhar — to this day the firm's only non-CA — joins ten years into its sixteen; the host puts the partnership with Nag at eleven years. 'I'm a hardcore sales guy at the end of the day.'

2025AI costs them a client. Less than a year before this conversation, a founder wired an AI product across his CRM and booking systems and replaced a fairly complex Prequate function with an hour of his own time. 'If we hadn't lost, we wouldn't have learned.' The response became policy: everything the firm does with AI must be industry-leading.

TodayFifteen people, 30% leaner, five hires from 5,000. About 800 companies advised across 16 years, every employee offered a job by a client at some point, and an Iron Man suit of internal AI tooling — 16 years of organisational knowledge, served case by case — for each of them.

The goalMost admired, and the greatest place to work. Not the biggest: the most admired mid-market consulting firm, and a shop the best operators in Singapore or the US want to join 'because this is where change happens'.

Takeaways

Ideas to carry out of this hour

India's consulting vacuum is the ₹100-2,000 crore band

Of roughly six lakh businesses that have grown beyond local scale, Nag counts about 856 above ₹2,000 crore — companies that can hire ten firms like his for one person's job — and 13,300 between ₹100 and ₹2,000 crore, most of which nobody has heard of. That band cannot spend $2-3 million on a McKinsey engagement, and, per the concept he keeps returning to, cannot absorb great consulting anyway because the internal capability to act on it is missing. Prequate keeps what he calls horse blinders on the 13,300 and leaves the 856 to the incumbents.

▶ 7:14 ▶ 8:02 ▶ 1:01:58

Sell the aspiration, not the problem

Consulting was sold for decades on 'we will solve problems for you'. Giridhar's argument is that the second and third generation now running family businesses don't care about the problems; they care about what the business could become, and they carry founder-grade skin in the game. The unsexy backbone of the economy — manufacturing, logistics, supply chain — has realised it can build brands and own categories the way consumer startups did a decade ago, and the winning pitch meets that ambition rather than auditing its gaps.

▶ 5:11 ▶ 5:41 ▶ 5:58

Advice that leaves the room is the copout-walkout

The industry's default failure mode, in Nag's words: say the hard things, then get out of the room. Prequate's counter-model is execution — the Guild of integrated operators for bandwidth, the Marine Corps self-image for speed, and the three Cs (context, capability, continuity) as what separates a transformation partner from an adviser who visits an hour a month. The marketplace model fails here for a structural reason: if a partner firm owns delivery, you cannot control the circumstances you are accountable for.

▶ 1:47 ▶ 19:23 ▶ 27:12

The firsts are the product

Scaling founders don't lack strategy; they lack the complex, briefly-needed capabilities of doing something for the first time — the first franchise, the first menu, the first internal data infrastructure. Those skills are needed once, at a moment you cannot schedule, which is why renting an accumulated team beats hiring one. Every Prequate employee has been offered a job by a client — a 100% track record — and it never works, because each consultant is the accumulation of contexts from many businesses at many stages.

▶ 11:04 ▶ 25:54 ▶ 26:11

Cash for value, equity for outcome

Founders regularly offer equity instead of a retainer; Prequate's standard refuses the trade. Taking equity for everything makes you a capital investor on one side of the table and an adviser on the other, playing two different heads that never balance. Equity is reserved for outcomes — transformations the founder could not have reached alone — and cash is charged for value, partly on a blunt cultural read: we only take seriously what we pay for, and a financial relationship is what gets a firm's time treated as its most important currency.

▶ 33:47 ▶ 34:02 ▶ 34:34

AI kills the hour, spares the outcome

The thesis Nag holds closest: AI collapses the time analysis takes, so anyone selling hours for cash disappears, while anyone selling outcomes keeps their price. Internally it turned the consulting pyramid into a diamond — associates and analysts at the centre, partners as infrastructure — let the firm trim about 30% of its workforce with no loss of delivery, and armed everyone with an 'Iron Man suit' of tools carrying 16 years of organisational knowledge. Externally the rule is AI economics: 86% of AI projects fail to reach ROI and 60-odd% get shelved, they quote, largely because the people recommending deployment are also paid to implement it.

▶ 36:41 ▶ 38:32 ▶ 39:18

Read the basket, not the item

The apple pie cost ₹600, sold at ₹350, and the Big Four instinct said sunset it — until the founder asked what the order value was every time it sold: upwards of ₹2,000. Nando's flies in a ₹1,200 bottle of sauce and sizes the portion to be shared for the same reason. The bakery fix — stock daily bread so the family comes in and the kid demands a pastry — came from a person standing in the store, which is the case for local context over model output: Claude can explain the category, not your organisation.

▶ 22:45 ▶ 24:03 ▶ 44:14

Family transformation is a trust protocol

The blockers are named plainly: a patriarch who is still 'chairman sir' to his own son, heirs who were never allowed decisions, and a fear of choice that is really an unpriced cost of inaction. The playbook that gets elders to sign: quantify what standing still costs, shrink the mammoth decision to the three or four things that actually matter, cap the honest downside (₹10 of risk against ₹100 of return), stage-gate the process — because the older generation trusts process, having learned outcomes are outside anyone's control — and put everyone critical to the decision in the room where it is made.

▶ 1:09:28 ▶ 1:11:03 ▶ 1:13:26

The numbers, drawn

What the episode measures

Every figure below was said on air, with timestamps included and caveats kept.

Where India's businesses sit

count of companies, square-root scale

Counts as Nag gives them, both hedged as estimates. Bars are on a square-root scale; drawn linearly the middle bar would be four pixels wide, which is roughly his point — the band Prequate serves is invisible next to the market, and still outnumbers the giants fifteen to one.▶ 7:14

The apple pie, per order

₹, as told on air

Told about one of today's largest coffee chains back when it was two cafés: the Big Four instinct said sunset the loss-making pie, the founder asked what the basket did every time it was ordered. Nando's runs the same play — a ₹1,200 bottle of PERi-PERi sauce inside a dish costing about ₹700 that sells at ₹450-500, portioned to be shared.▶ 22:45

How AI deployments actually end

% of projects, as quoted

Quoted by Nag with no source named, inside the argument that consultants are incentivised to recommend AI because they are also the implementation partners. Prequate's internal rule is 'AI economics': if the ROI case is not there, do not deploy.▶ 39:18

The AI industry's revenue gap

$ billion a year, as quoted

Attributed loosely on air to 'JP Morgan or Goldman or one of these guys' as the $600 billion question: where does the difference come from? Said while only half-joking that businesses will soon need a CFO for AI, because subsidised tokens are this generation's server room.▶ 55:16

Worth keeping

Lines that stay

We are not that. We are the guys who will stay in the room till the numbers move.

Pradyumna Nag, on copout-walkout consulting ▶ 1:47

You've run one business for 30 years, but in the last one year I've seen 30 businesses.

Amogh Giridhar, on earning a founder's ear ▶ 13:38

Pay in cash for our value, pay in equity for our outcome.

▶ 34:02

An AI is not going to read the room. An AI is not going to know when a founder is getting bored of the presentation.

▶ 42:24

End of the day, agency is something that no technology can replace. If you've got agency, you will still build something — irrespective of whether it is AI or AGI or superintelligence.

▶ 58:22

Clips that travel

Short on time? Start here

Founders between ₹100 and ₹2,000 crore wondering who to call

Six lakh businesses, and the 13,300 in between

The census of India's mid-market, why a McKinsey engagement is out of reach at $2-3 million, and the absorption-capacity problem that makes great advice useless without hands.

6:43 → 9:33 · 3 min ▶ Watch clip

Menu owners staring at a loss-making item

The ₹350 apple pie that pays for itself

Big Four instinct says kill the pie that costs ₹600 and sells for ₹350 — until you check what the basket does every time it's ordered. With a Corner House cameo and Nando's portion maths.

22:30 → 25:38 · 3 min ▶ Watch clip

Anyone pricing consulting by the hour

If you sell hours, you disappear

The AI thesis: what collapses when analysis gets cheap, why outcomes hold their price, and the diamond-shaped firm Prequate built out of the consulting pyramid.

35:04 → 39:33 · 4 min ▶ Watch clip

Operators about to buy the next shiny AI thing

The client AI took

An AI product replaced a fairly complex Prequate function with an hour of the founder's own time. The firm lost the account, dropped its resistance, and armed everyone with an Iron Man suit instead.

48:03 → 50:50 · 3 min ▶ Watch clip

Second-gen heirs waiting on an uncle's signature

Getting the elders to sign

A Carnatic-music catalogue sitting on rent, the chairman-sir problem, and the frameworks that shrink a mammoth choice: cost of inaction, ₹10 of risk against ₹100 of return, stage-gated decisions.

1:09:28 → 1:14:13 · 5 min ▶ Watch clip

Glossary

The jargon, unpacked

Copout-walkout

Prequate's name for consulting that says the hard things and then gets out of the room; the firm positions itself as the opposite — staying until the numbers move.

Absorption capacity

A client's internal ability to act on advice. Most mid-market businesses cannot absorb great consulting because the capability to execute it is missing — so Prequate sells capability, not documents.

The Guild

Prequate's bench of integrated operators — practitioners who have run the problems before and execute inside client businesses under the firm's systems and SOPs, against the marketplace model it argues cannot work here.

The three Cs

Context, capability, continuity: what separates a transformation partner from an adviser who spends an hour a month with you for two years.

Diamond structure

Prequate's org shape — associates and analysts at the centre of the solution, partners built around them as infrastructure — as against the consulting pyramid that AI is hollowing out.

AI economics

The firm's internal rule that an AI deployment must carry its own ROI case: if the problem is not worth solving with AI, the correct recommendation is not to deploy it.

Stage-gating

Breaking a family-business decision into small sequential approvals so the older generation can trust the process — 'everybody who is critical to that decision should be part of arriving at it.'

Cost of inaction

The first number put in front of a promoter who will not decide: what standing still costs. Only once inaction is priced does the risk-reward of acting — ₹10 against ₹100 — become discussable.

Connections

If this resonated, go here next

EP 171 · Capital

Full transcript

The whole conversation, searchable

Auto-generated captions, lightly cleaned. Click a timestamp to open that moment on YouTube.