Tablesprint Revolutionizes Enterprise App Development with AI-Powered 'Minutes not Months' Strategy

In the traditional enterprise world, building a custom application is a months-long marathon involving massive budgets, technical debt, and a constant back-and-forth between business owners and developers. But what if a non-technical manager could describe a business problem in plain English and have a fully functional, integrated application ready before their coffee got cold?

Enter Chirag Jadhav, the Co-founder and CTO of Tablesprint. A veteran of the Indian startup ecosystem, Jadhav previously founded RainCan (India’s first subscription-based milk app, later acquired by BigBasket), where he managed operations for 4 lakh daily orders. Now, he’s leveraging his experience in handling massive scale to democratize enterprise software. By utilizing Artificial Intelligence (AI) and an "AI Consultant" interface, Tablesprint is enabling companies across supply chain, education, and pharma to build micro-apps and complex workflows in minutes, not months.

The Problem: The Rigidity of Enterprise Legacy

Enterprise systems are notoriously slow to adapt. Jadhav recalls the pressure at BigBasket when the pandemic hit. Systems were static, and modifying a delivery workflow took a week of coding—time that businesses didn't have in a crisis. "Everything was uncertain. We weren't sure what we would deliver tomorrow morning," Jadhav notes.

The gap was clear: there was no middle ground between a simple spreadsheet and a multi-million dollar custom ERP. Companies needed a way to build Agile Workflows that could be modified as fast as the market changed. Whether it was a return flow for e-commerce or a biometric attendance system for a school, the implementation cost and time were too high for the average organization.

The Solution: The "AI Consultant" Interface

Tablesprint flips the development script. Instead of writing code, users interact with an AI Consultant. You simply write commands in natural language—"Create a return flow that integrates with Shiprocket and sends a WhatsApp confirmation to the customer"—and the platform builds the UI, the database, and the integrations automatically.

1. Natural Language Micro-Apps

By combining OpenAI’s power with Tablesprint’s predefined embeddings, the platform understands the nuances of business logic. It doesn't just generate a generic app; it brainstorms with the user to suggest edge cases they might have missed. "AI will help a developer become a super-developer easily," says Jadhav.

2. Seamless Integration Ecosystem

Tablesprint comes pre-loaded with "one-touch" integrations. Whether it's Shiprocket for logistics or WhatsApp for parent communications in schools, the integrations are reusable templates. Once a company integrates WhatsApp into one workflow, it can be repurposed across the entire organization without starting from scratch.

3. No-Vendor Lock-In Data Policy

In a bold move for a SAS platform, Tablesprint allows users to export their data easily if they choose to leave. "We don't want to restrict users. If they don't feel comfortable, they can export data and go to other systems," Jadhav explains. This transparency builds trust with large enterprise clients who are often wary of "proprietary traps."

The Global Shift: Why the US is the Primary Target

While Tablesprint is global, Jadhav sees the fastest traction in the US market. The reason is cultural rather than technical. "In India, people have a tendency to hire a person to get the job done. In the US, people like to build something by their own," he observes. The "DIY" mindset of US product owners and operators makes them the perfect candidates for a platform that empowers them to build their own tools without a dedicated dev team.

Future Vision: Simple Commands, Complex Results

Jadhav is focusing on three pillars for the next 3-5 years: **Simplicity, AI, and Templates**. The goal is to move from building apps to building **Complex Autonomous Workflows**.

"I want a workflow to be as easy as saying: 'Create a workflow to email customers who haven't used the app in 10 days,'" he says. Tablesprint is also expanding its template library so that users don't even have to start with a blank prompt—they can pick a pre-built pharmacy management or supply chain tool and fine-tune it with AI.

Key Takeaways: The Tablesprint Blueprint

• Minutes over Months: The speed of execution is the ultimate competitive advantage in the AI era.
• AI as an Optimizer: AI won't replace developers; it will turn them into "super-developers" who focus on high-level logic rather than repetitive syntax.
• Customer-Centric Certification: Tablesprint offers a 2-hour certification course, turning end-users into "Certified Tablesprint Developers" to ensure they can fully utilize the platform.
• Integration is Reusable: Build an integration once, and use it across every micro-app in your organization.

As Chirag Jadhav and the team at Tablesprint continue to simplify the enterprise "sprint," the message is clear: the barrier between a great business idea and a functional application has finally collapsed. In the hands of a visionary manager, a few simple commands are now more powerful than a room full of coders once were.

About the Guest

Chirag Jadhav is the CTO and Co-founder of Tablesprint. An engineer from the University of Pune, he was the founding mind behind RainCan, a pioneering grocery subscription startup that was acquired by BigBasket. As a technical leader who has managed systems processing 4 lakh daily orders, he is a recognized expert in building scalable, agile enterprise architectures. He is now dedicated to making app development accessible to every business professional through AI.

Tablesprint is a next-generation AI-powered SAS platform. It empowers enterprises to build custom micro-apps, automated workflows, and data-driven dashboards in minutes. By providing an "AI Consultant" interface and a vast library of templates, Tablesprint helps businesses in pharma, education, and supply chain achieve digital transformation at record speeds.