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Case Study

A First, Practical Entry into AI: How a Startup Founder Identified Immediate Operational Wins

RG

Raghav Gupta

Founder, Cininfo

About the Founder and the Organisation

Cininfo is a global community and incubation platform for filmmakers, built around learning, collaboration, and program-led creation. As a founder, Raghav Gupta is closely involved in the operational side of the organisation—coordination, communication, planning, and execution across multiple moving parts.

In an early-stage setup, efficiency isn't optional. Founders absorb operational load by default.

The Context

For Raghav, this was his first formal exposure to AI through a structured workshop.

Like many startup founders, he was dealing with a wide range of day-to-day operational demands—email communication, deck creation, task organisation, event planning, meeting coordination—often switching contexts rapidly and managing things manually.

AI, until this point, hadn't been part of a deliberate workflow.

The Core Challenge

The challenge wasn't ambition—it was bandwidth.

Before the workshop:

  • Operational tasks consumed a disproportionate amount of time
  • Workflows were fragmented across tools and manual effort
  • Efficiency improvements felt incremental rather than systemic
  • AI tools existed in theory, but not as part of daily operations

There was no clear entry point into AI that felt immediately usable.

What the Workshop Provided

The workshop functioned as an orientation rather than deep specialisation.

It introduced:

  • A broad landscape of AI tools applicable to everyday founder tasks
  • Practical use cases tied to real operational needs
  • Exposure to multiple tools—each serving a specific function
  • A sense of what could realistically be implemented immediately

For Raghav, this wasn't about mastering AI—it was about finding leverage.

The Shift in Perspective

The biggest shift was recognising how much routine work could be offloaded.

During the session, Raghav identified clear opportunities where AI could support:

  • Bulk communication and emailers
  • Deck creation and content structuring
  • Task organisation and workflow planning
  • Event coordination and meeting logistics

AI stopped feeling abstract and started feeling applicable.

What Changed After

Post-workshop, Raghav walked away with:

A clearer sense of which AI tools were relevant to his role
Motivation to actively test and implement select tools
A belief that operational efficiency could improve meaningfully
A practical starting point rather than an overwhelming roadmap

The intent was simple: go back and apply, not just explore.

Founder Takeaway

For first-time AI adopters, the biggest hurdle isn't learning—it's knowing where to start.

This experience helped move from:

Manual handling Assisted execution
Operational overload Structured support
Curiosity about AI Immediate experimentation

AI became a productivity ally, not a distraction.

Why This Case Study Matters

Not every founder needs a deep AI transformation on day one.

Sometimes, the most valuable step is a clear, practical introduction—one that shows where AI fits into daily work without overcomplicating it.

For early-stage founders, that clarity alone can change how efficiently they operate.

Find Your AI Starting Point

Learn practical AI applications that create immediate operational wins.