# Anish Modi

Anish Modi writes about practical AI adoption for Indian small businesses, explaining how to identify repetitive work and build focused tools around real business needs. Their posts also describe building an automated outbound system.

- Profile: https://b2binfluencer.marketing/creators/anish-modi/
- LinkedIn: https://www.linkedin.com/in/anish-modi
- LinkedIn followers: 9,032
- Topics: artificial-intelligence, sales, startup, ai-adoption, b2b-sales
- Based on 13 dated posts, latest 2026-10-04

## Summary

Anish Modi is most useful for practical AI adoption education aimed at Indian small and midsize businesses.

- Best for: A B2B AI consulting firm or vendor selling implementation to Indian small and midsize businesses.
- Not for: An enterprise software vendor promoting a flagship CRM or ERP for reach and demos.
- Check first: Confirm availability, format, terms, and current audience demographics before contacting them.

### Takeaways

- A generic chatbot lacks business context, so a tool connected to customer data works better.
- An outbound system processed 5,000 leads, but nearly half were unclear due to weak targeting.
- Modi says small firms may adapt faster because they have less legacy infrastructure to defend.

## Main ideas

- **The problem is fit, not the model: generic output is a design failure**: Anish Modi's most repeated point is that a failed chatbot trial says little about what AI can do. They describe founders who read about AI, sign up for ChatGPT, ask it to write a marketing plan, get something generic and conclude AI is overhyped. That output is expected: a general chatbot has no access to a company's customer data, no memory of earlier conversations and no workflow that ends in a result. Value comes from building a specific tool around the model, connecting it to customer data, training it on past responses and pointing it at a task rather than a paragraph. In another post, they report what founders in hospitality, fashion, manufacturing and marketing told them: they know they should use AI, do not know where to start, are pitched a different tool by everyone, have tried two that did not stick and have teams tired of new tools. Cost, access and awareness are not the bottleneck; the missing role is someone who sits with a business, finds the real friction and designs a focused fix. The framing sharpens across the two posts: founders never see the better version of AI because nobody around them is building it, and the barrier is absent diagnosis rather than an absent example.
- **Waiting for the right time is the expensive choice**: Anish Modi reports that every small-business founder they meet says a version of the same line: they intend to use AI, but not now — after the dust settles, after the right tool appears, after the team is ready, after the budget opens. While they wait, a competitor quietly builds a tool that pulls every customer query into a dashboard, drafts replies and saves the team 15 hours a week, with no launch and no announcement. They put a date on the delay: founders holding back will catch up around 2027, about 18 months late. The recommended trigger for starting is not readiness but repetition — adopt AI where the work is boring, repetitive and taking time from work that matters. The argument is about the cost of inaction rather than the technology.
- **Small and custom-fit now beats big and standardised**: Two posts make the same commercial case from different angles. In the first, enterprise software once worked as a moat: a ₹200 crore company could buy a ₹1 crore CRM, spend six months customising it and leave smaller rivals fighting a system they could not afford to match. In Modi's account, that math has flipped: a founder with Claude, a Supabase database and a weekend can build a CRM that fits their business better for roughly ₹25,000. The advantage moves from owning the biggest tool to knowing what the business actually needs. In the second post, the smallest Indian businesses can move faster than medium ones: a five-person company has no legacy software, internal politics or established way of doing things, while a fifty-person company has standard procedures, an IT vendor, managers protecting their patch and a ₹8 lakh CRM that takes a quarter to change. They conclude that size used to be the advantage and smallness is now, and that the cost of doing nothing has never been higher.
- **Scale does not fix a weak assumption; it prints it**: In this post, Anish Modi describes building and running an outbound operation that processed 5,000 leads in 90 days. The scrapers ran, the enrichment ran and the drafting held up. What broke was their definition of a good lead: nearly half of the 5,000 landed in a bucket labelled MISC — not manufacturing, not D2C, not services, just unclear. They read the result as the machine holding up a mirror: a fuzzy targeting thesis printed itself five thousand times. The general rule they draw is that scale exposes a weak assumption at volume, with receipts. Their priority is to settle qualification and targeting definitions before automating volume; they end by asking readers what scaling their current process would expose.
- **Advice for operators, not for the attention economy**: Anish Modi argues that most advice founders follow was written for people whose product is advice. Post daily, build in public, grow your personal brand: fine counsel if your business model is selling counsel, but a distraction dressed as a growth plan for someone running a manufacturing unit or a services firm. They argue that the creator economy taught a generation of operators to optimise for attention when they should be optimising for margin — reach is not revenue and an audience is not a customer base. Their recommendation is to take advice from people who run a business shaped like yours, not from people who sell the advice itself. The post is addressed to operators and pushes back on content habits associated with creators.

## Work to read

- [The "I tried ChatGPT and it did not work" pattern](https://www.linkedin.com/posts/anish-modi_the-i-tried-chatgpt-and-it-did-not-work-activity-7466377906009632768-3Z7n)
- ["Abhi nahi" — the excuse Modi hears from every small-business founder](https://www.linkedin.com/posts/anish-modi_every-smb-founder-i-meet-has-a-version-of-activity-7463571893145522176-7k6N)
- [The bottleneck is finding what to build, not the tool](https://www.linkedin.com/posts/anish-modi_last-month-i-spoke-with-founders-in-hospitality-activity-7473386980060385280-Qz1V)
- [What broke when Modi's own outbound system hit 5,000 leads](https://www.linkedin.com/posts/anish-modi_i-built-an-outbound-system-that-processed-activity-7499451203790008321-dxPH)
- [Why a ₹25,000 custom build can beat a ₹1 crore CRM](https://www.linkedin.com/posts/anish-modi_enterprise-saas-used-to-be-the-moat-a-200-activity-7465291440806445056-j6c_)
- [Smallness as the current advantage in Indian B2B](https://www.linkedin.com/posts/anish-modi_the-smallest-indian-businesses-are-about-activity-7464597767554760704-GA5B)
- [Modi’s case against creator-economy advice for operators](https://www.linkedin.com/posts/anish-modi_most-advice-founders-follow-was-written-for-activity-7485300421884866568-SaZ8)

## Partnerships

Anish Modi’s seven published posts offer advice and analysis for founders and operators, not sponsorship offers, rate cards, media kits or brand-deal announcements. None names a sponsor, describes a paid collaboration, states a bookable format or provides an inquiry route for commercial requests. Two posts describe work a buyer could ask about: an automated outbound system that processed 5,000 leads in 90 days, presented as a lesson about fuzzy targeting rather than a service for sale; and repeated conversations with founders across hospitality, fashion, manufacturing and marketing about where AI adoption stalls. These are accounts of first-hand experience, not purchasable packages. The posts do not say whether Modi accepts sponsorships; ask for a current sponsorship or press page, media kit, published rates and deliverables, or a disclosed collaboration naming the brand and work delivered.

## Alternatives

- Tom B.: Choose Tom B. when the engagement is about outbound pipeline rather than AI adoption in general: a session or content series that ends with a target list and a message, not a workflow audit. The two posts describe an outbound stack moving toward an AI control layer: lead data, enrichment, a sending platform and CRM operated through a conversation instead of someone clicking between six tools. The argument is that operating the tools matters less than knowing who to target, which buying signals count, what offer will land and how to read results. For a firm selling AI to sales teams, that is a sharper promise than a general AI-adoption talk. One post ends with a published, low-friction offer — send the name of your best client, get back three companies like them, who to contact and what to say, no call required — that a buyer could copy as an inquiry mechanic.
- Ronit Thakur: Choose Ronit Thakur when the campaign is about Indian consumer categories rather than AI adoption among small businesses — for example, a session or piece on why distribution without brand loyalty becomes expensive shelf space, or what it costs to buy the default app in a young category. The two posts put numbers alongside familiar brand stories: a beauty brand with 45,000 retail touchpoints, 200 stores and 550 cities whose revenue fell from ₹505 crore to ₹380 crore while losses doubled to ₹134 crore, set against a competitor doing ₹132 crore revenue, ₹11 crore net profit and ₹16.6 crore of marketing; and a quick-commerce brand spending ₹950 crore on marketing, read as buying habit while the category is still forming. A buyer whose audience is D2C founders or consumer marketers gets category-level reasoning with figures attached — a useful alternative to a talk about which workflow to automate first.
- Yash Patel: Choose Yash Patel when the session needs a market-level frame on Indian consumer behaviour rather than an AI implementation agenda — for instance, how safety, fraud protection and authenticity have become competitive products, or how a company that already owns the customer and the location can sell more to that base. The two posts make those arguments: a ride-hailing app's safety features signal that India is moving from an access economy to a trust economy, with payments apps competing on fraud protection, marketplaces on authentic products and banks on scam detection; and an oil company launching packaged water as a retail-platform move built on 43,603 fuel outlets rather than a water business. A buyer seeking a talk on how mature markets shift the basis of competition, or on incumbent cross-sell strategy, gets a clear structural argument with a worked example in each post.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/