Episode 151 · Enterprise · 43 min

More problems, fewer bodies

Intuitive Cloud sells transformation to 130-plus global enterprises by promising the opposite of the old bargain: roughly half the problem is already solved by somebody else's product, a quarter should be automated until it stops recurring, and nobody gets held hostage by a seven-year contract. Jay Modh's family office — 23 investments, seven exits — exists so that the firm recommending the innovation has its own money on the table.

JM
Jay Modh
Founder, Intuitive Cloud & Intuitive VC, Intuitive Cloud · with Vishal Krishna
More problems, fewer bodies — episode thumbnail
43:19
Said in this episode
▶ 2:05
130+
Enterprises Intuitive Cloud supports
Banking and financial services, healthcare and life sciences, heavy industry, manufacturing, CPG, energy, some ISVs and private-equity portfolio companies.
▶ 27:43
23 → 7
Investments made, exits realised
Intuitive VC, the family office, cited by the host in the introduction and confirmed by Modh later in the conversation.
▶ 17:55
45 days → 3 min
Prior-authorisation turnaround
US health plans historically took 40–45 days and asked for 15; Modh says Intuitive's enterprise deployments now do it in about three minutes.
▶ 35:04
$100k–$2M
Cheque size range
Roughly $100–250k where allocation was tight or conviction was early; $1–2 million for the larger positions.
▶ 38:57
230 days
Days travelled last year
Modh, who says he does not read books, sources his ideas from travel and conversation — Uber and Lyft drivers, guards, chefs, his own children.
▶ 22:56
40 crore
Indians under 27
A figure Modh attributes to something he had heard rather than his own data; his point is that even 1% turning entrepreneur would move GDP.
The brief

The argument in sixty seconds

Modh's claim is that the old IT services bargain — throw bodies at the problem, bill for them, lock the client into a five- or seven-year contract nobody can breathe out of — is now precisely the thing enterprises are trying to escape, and that a services firm can only earn a seat by refusing it. Intuitive Cloud, which he describes as debt-free, privately owned and supporting 130-plus enterprises across banking, healthcare, heavy industry and CPG, splits any programme three ways: about half is solvable with innovation someone else has already built and scaled, another quarter should be automated so the problem stops recurring, and the rest is engineering for scale, resilience, security and governance. The economics invert on purpose — more problems now mean more automation and fewer people, not more headcount and more revenue. The second half of his argument is that recommending someone else's product to a CIO puts your own goodwill on the line, so he backs the recommendation with capital: Intuitive VC, a family office with 23 investments and seven exits, buys into the startups he then bridges into enterprise boardrooms, handing them the anchor client that is otherwise unreachable. He runs the same test downward — advisers who won't write a cheque have no consequence, and a son who wants a business gets no handout, only a car wash in the Dallas heat. The stakes: boards have stopped treating IT as a cost centre and now open with innovation and close with it, and the vendors still answering in headcount are describing a model that has quietly lost its buyer.

Worth your time if you are

CIOs weighing a five-year transformation contract
Services founders trying to escape the body-shop model
B2B startup founders hunting a first enterprise anchor client
Family-office investors sizing operator-led venture bets
Parents deciding what to hand a child and what to withhold
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.

01Cold open: enterprise AI, intent and impact 0:00 Vishal introduces a guest who runs both an enterprise IT firm and a family office with 23 investments and seven exits, and warns viewers that the first three minutes are a masterclass in how to pitch a company. 02Highways, engines and brakes 1:31 Modh defines Intuitive Cloud in one breath — cloud as the digital highway, applications and databases as agility, data as fuel, AI and agentic AI as the motors, and cyber security and governance as brakes that exist to let you accelerate with confidence. 03Half innovation, a quarter automation, then engineering 3:37 Against firms with two, three and five hundred thousand people doing what he calls glorified body shopping, Modh lays out the split — half the problem solved by innovation already built elsewhere, a quarter automated away, the remainder engineered for scale, resilience and governance. 04Challenge the customer, refuse the lock-in 7:13 The firm positions itself as non-conformist — it challenges customers, argues for longer horizons than the immediate problem, and refuses to leave enterprises hostage inside five- and seven-year contracts they cannot break out of. 05From tech-enabled to tech-led boards 9:46 Boards that once treated IT as a cost centre now ask what the company is doing in innovation, AI and cyber security, and enterprises openly name their design partners — the ones deliberately rolling the dice on unproven technology. 06Rolling the dice on AI, deliberately 12:40 Wearing the investor hat, Modh says he wants bets with a high probability of failure and a chance of changing the world, tracing the rotary phone to the AI smartphone and Uber's income for people who could not find work. 07Capital, energy and trust gate adoption 15:23 Resistance to AI is not about capability: the world underestimated how much capital and energy it would take to invest now and reap later, and trust, privacy and integrity remain the second brake — but every CIO, CTO and CISO conversation now opens and closes with innovation. 08Where the innovation money actually goes 17:11 Money flows first to banking and financial services, then healthcare and life sciences, then heavy industry and industrial IoT — but healthcare leads the adoption curve, with prior authorisation compressed from weeks to minutes and contact-centre AI covering the continuum of care. 09India learns fastest, originates second 19:45 A US citizen born and raised in India argues the country learns extraordinarily fast and executes well but has yet to earn the title of innovation-first, even as UPI and India Stack become its biggest exports and Gujarati neighbours quietly hold twenty startups apiece. 10No handouts, and a Dallas car wash 23:28 Resources, education and mentorship are provided; outcomes are not — so when his son wanted to wash cars in 100-degree Dallas afternoons, Modh let him build the business plan, the loyalty network and the customer feedback loop himself. 11Why a services firm started investing 27:29 Intuitive began writing small cheques to sharpen its own delivery, discovered innovation was addictive, and realised that a startup's real bottleneck is the first anchor client — which an enterprise services firm with CXO trust can supply. 12The CXO bridge and the anchor client 30:34 With CIOs, CTOs and CISOs now on boards, Modh positions Intuitive as the bridge that translates business problems into vetted innovation and does the engineering, backing category creators such as DevRev, Uniphore, Safe Security and ArmorCode. 13Advisers without consequence, cheques with one 32:21 Modh wants operators who have seen failure, not self-proclaimed AI experts, and tells founders to make any prospective adviser write a cheque — then discloses his own range, from roughly $100–250k to $1–2 million. 14Geography-blind bets and brain atrophy 35:18 He calls himself blind to geography and ethnicity, with companies funded out of the US, India and Israel, then turns on the consumer side of AI: it should validate and review your thinking, not do it for you, or brain atrophy follows. 15Radical Candor and a daughter's verdict 38:10 A non-reader who learns from 230 days a year of travel, Uber drivers and his own children, Modh recounts his daughter telling him his shouting was a trust problem, and adds Kim Scott's Radical Candor as an addendum to the company's culture.
Takeaways

Ideas to carry out of this hour

01

More problems should mean fewer people, not more

The traditional services equation — more problems means more bodies means more revenue — is the one Modh says has run out of buyers. His replacement splits a programme roughly in half, a quarter and a remainder: half is solved by innovation somebody else has already built and scaled, a quarter is automated so the problem stops recurring, and the rest is engineering for scale, resilience, security and governance. The test is ownership: the enterprise should own what gets built rather than being held hostage inside a five- or seven-year contract it cannot break out of.

02

The board became the buyer, and it asks about innovation

Directors who have sat on boards for decades now read the same news and the same consulting decks as everyone else, and the question has changed from what IT costs to what the company is doing in AI and cyber security. Modh's line for the shift: enterprises are no longer tech-supported or even tech-enabled businesses, they are tech-led ones. The visible proof is the rise of the design partner — enterprises that publicly name the unproven startups they are rolling the dice on, trading time, effort and resources for cheaper licences and a seat at the front.

03

AI adoption is gated by capital and energy, not capability

Modh argues the resistance he meets is rarely about whether the technology works. The world simply was not prepared for how much money has to go in today to reap the fruit later, and for the energy that goes with it, so CFOs are now looking at budgets very differently. The second gate is trust, privacy and integrity — which is why he treats cyber security and governance not as a drag on the programme but as the brakes that make speed survivable.

04

A services firm buys the right to recommend

When Intuitive takes a startup into a CXO conversation, it is not presenting a tool it happens to resell — it is presenting a company it has diligenced and put its own hard-earned money into. That inversion is the whole argument for the family office: the vendor's goodwill and its capital are exposed to the same outcome as the client's. For the startup, the payoff is the piece nothing else supplies — early product-market-fit validation, real enterprise feedback, and a first or second anchor client to spring from.

05

An adviser without a cheque has no consequence

Modh's warning to founders is blunt: never take on an adviser without a consequence, and the simplest consequence is money. Ask them to write a cheque and watch how serious they are — because someone who will not back the vision is unlikely to open the door to your first customer either. He wants operators who have built and scaled companies and seen the dark side of both, not self-proclaimed experts who will send a founder off in seven directions at once.

06

India learns fastest and originates second

The great part about India, Modh says, is how fast it learns and executes; being an innovation-first country is something it still has to earn, with real lag on core AI and core industrial invention. He is careful not to dismiss the work — enormous engineering happens inside the India centres of Amazon, Google, Microsoft, Databricks and Snowflake — but distinguishes executing an idea from creating and materialising one. The counterweight is consumer: UPI and India Stack are, in his telling, among India's biggest exports, being picked up across the Middle East and East Asia.

07

Outsource the thinking and the brain atrophies

Asked whether AI-generated feeds are killing innovation, Modh's answer is yes and no. AI should be an enabler, an assistant that validates and reviews and pressure-tests your thought process — the moment it starts producing the thought process for you, brain atrophy sets in. His claim is that human intelligence stays superior to artificial intelligence exactly as long as humans keep applying logic, analysis and reasoning, which makes this a parenting and culture problem rather than a model problem.

The numbers, drawn

What the episode measures

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

Conversation share

portion of the hour spent on each theme
SaaS & enterprise · 22%AI & machine learning · 20%Venture capital · 18%Leadership & org · 15%India macro · 10%Healthcare · 6%
SaaS & enterprise22%
AI & machine learning20%
Venture capital18%
Leadership & org15%
India macro10%
Healthcare6%
Computed from the chapter map of this episode.

How Intuitive splits an enterprise problem

% of the problem
Solved by existing innovation · 50%Solved by automation · 25%Solved by engineering · 25%
Solved by existing innovation50%
Solved by automation25%
Solved by engineering25%
As stated in conversation: Modh gives 50% for innovation and 25% for automation explicitly, and describes engineering as 'the last part' — the 25% remainder is inferred, not quoted.▶ 6:08

Prior authorisation, before and after

days
US norm, historicall45What payers asked fo15Intuitive today (~3 0.0
Figures as stated on air: the host cites 40–45 days historically and a 15-day target; Modh says enterprises on their stack now clear it in about three minutes, plotted here as ~0.002 days.▶ 17:55
Worth keeping

Lines that stay

It is not about more problems means more bodies means more revenue. That is the old way of doing things. The new way is more problems means more automation, less people.

— Jay Modh ▶ 6:39

We are not tech-supported businesses anymore. We are not tech-enabled businesses anymore. We are tech-led businesses.

— Jay Modh ▶ 10:32

It's not just another tool or a platform that we're taking to an enterprise. It is a company we have understood really well. It is a company we have invested hard-earned money in.

— Jay Modh ▶ 29:47

Never have an adviser without a consequence. If you're bringing somebody on as an adviser, make them write a check and see how serious they are.

— Jay Modh ▶ 33:21

If you have to do this on a call with your team, you may have hired the wrong leaders — or you have the right leaders and you are not trusting them enough.

— Jay Modh, quoting his daughter ▶ 39:28
Clips that travel

Short on time? Start here

Founders who freeze when asked what their company does

The 90-second pitch: highways, engines, brakes

The elevator pitch the host tells viewers to steal — cloud as highway, data as fuel, AI as motor, security as the brakes that let you accelerate.

1:31 → 3:37 · 2 min ▶ Watch clip
Services founders trying to escape the body-shop model

More problems should mean fewer bodies

The half-quarter-remainder split, the case against throwing resources at problems, and why the client should own what gets built.

4:39 → 7:46 · 3 min ▶ Watch clip
B2B startup founders hunting a first enterprise anchor client

From tech-enabled to tech-led

How boardroom questions changed, and the rise of design partners — enterprises that now advertise the unproven bets they are running.

9:46 → 12:40 · 3 min ▶ Watch clip
Parents deciding what to hand a child and what to withhold

No handouts, and a car wash in Dallas

The most human stretch of the episode: resources yes, outcomes no, and a teenager building a loyalty programme in 100-degree heat.

23:28 → 26:42 · 3 min ▶ Watch clip
First-time founders assembling an advisory board

Make your adviser write a cheque

Why an adviser without consequence is noise, why operators beat self-proclaimed AI experts, and the father-and-child analogy behind it.

32:21 → 34:35 · 2 min ▶ Watch clip
Glossary

The jargon, unpacked

Body shopping
Selling headcount rather than outcomes — staffing a client's problem with billable people; Modh calls the practice glorified, acknowledges the world still needs it, and builds against it.
Design partner
An enterprise that agrees to deploy a startup's unproven product early, trading time, effort and resources for lower-cost licences and a front-row seat on the roadmap.
Anchor client
The first or second reference-grade enterprise customer a B2B startup lands — the springboard that makes every subsequent sale credible, and the thing Intuitive's enterprise reach is meant to supply.
Agentic AI
AI systems that plan and act across steps rather than answering one prompt at a time — in Modh's metaphor one of the motors driving enterprise outcomes, and the reason governance matters more.
MCP
Model Context Protocol, an emerging standard for connecting AI models to tools and data sources; Modh lists it alongside agentic AI and quantum computing among the bets he is willing to roll the dice on.
Prior authorisation
The US insurance step where a payer must approve a treatment before it is delivered — historically 40–45 days, and the clearest example Modh gives of clinical-adjacent AI paying for itself.
Family office
A private vehicle investing a family's own capital rather than outside limited partners' money — Intuitive VC's structure, which is why Modh can call the cheques hard-earned money.
CXO
Shorthand for the C-suite chiefs Modh sells to — CIO, CTO and CISO — a group he says has moved onto boards over the last six or seven years.
Connections

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Full transcript

The whole conversation, searchable

166 segments

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