Bengaluru's marketing scene just went AI-first
AI in Bengaluru has moved from side project to core stack. Brands are producing creative at speed and scale, while costs drop hard.
"Turnaround time has reduced from days to minutes," says Prateek Dixit, Co-founder of Pocket FM. Aman Priyadarshi, Founder and CEO of Plazza, adds, "Recent AI advancements mean even a single person can now handle almost all aspects of marketing."
Speed, scale, and the numbers that matter
Rituraj Biswas, Co-founder and CEO of Hypergro.ai, reports 15-30% conversion lifts with 25% lower CAC from hyperpersonalized video journeys. Their email-to-creative automation cuts turnaround by 85-90%, hits seven-minute delivery, and keeps brand compliance intact.
Video is scaling fastest. Dashverse CEO Sanidhya Narain produced the AI microdrama "Raftaar" for under ₹10 lakhs-live action would have pushed beyond ₹50 lakhs. Priyadarshi confirms video turnaround is now under 24 hours for a few thousand rupees versus months and lakhs earlier.
Where teams get stuck
Speed is easy. Consistency isn't. "Ensuring consistent creative quality across thousands of variations is a major technical hurdle," says Dixit.
The other trap: tool sprawl. "The main challenge is orchestrating across multiple AI tools while passing context, stitching a coherent story, and retaining brand guidelines," Priyadarshi explains.
- Guardrails first: central brand kit (tone, fonts, color, do/don't), reusable prompt blocks, and style refs.
- Single source of truth: one brief, versioned; every tool reads from it.
- Automated QA: checks for logo placement, color contrast, banned claims, and timing rules.
- Human-in-the-loop: fast review layers for narrative, compliance, and cultural nuance.
From tools to agents
Leaders say the market is entering the agentic phase. Biswas envisions an AI operating system for marketing-insights, creative, personalization, media, and measurement running in one continuous loop.
Narain hints at a creator program with production credits and revenue share-an ecosystem that feeds itself. Dixit expects predictive planning to become standard: AI will suggest what's likely to win before you brief the team. For context on GenAI's impact, see this overview from McKinsey here.
Why investors are leaning in
Aditya Singh, Co-Founder & Partner at All in Capital, points to the collapse in cost and time to create high-quality content. He expects cheaper content, faster distribution, and easier discovery to spark a wave of category-first brands-while the real winners pair deep customer insight with sharp execution.
That opens room for both the brands and the infra layer that serves them. Translation: capital is ready for operators who can ship.
What this means for creatives
Demand is relentless, especially in D2C. Brand-strategy specialist Harish Bijoor notes many startups need fresh creatives twice a day-and AI can go from concept to output in about 20 minutes. Most traditional setups can't match that tempo.
Your edge isn't making one great ad anymore. It's building a pipeline that makes a hundred variants that actually convert.
A practical playbook you can deploy this week
- Stand up a creative OS: pick one brief format, one asset hub, and a small stack for text, image, and video. Automate handoffs.
- Standardize prompts: lock tone, voice, claims, and CTAs. Package as templates for copy, UGC, and product explainers.
- Ship video in 24 hours: outline (6 beats) → script (120-180 words) → voice/avatars → edit → brand checks → publish.
- Quality at scale: auto-check brand colors, safe areas, reading level, and banned phrases before human review.
- Experiment tight: 3-5 variables per test; rotate hooks, first 3 seconds, CTA; archive winners as patterns.
- Measure the right things: conversion lift, CAC, time-to-first-creative, cost per creative, and win-rate by concept.
- Respect constraints: rights for voices/faces, data hygiene, disclosure where required, cultural sensitivity.
Get skilled, stay shippable
If you want a structured path to level up, explore focused training for marketing teams and video workflows:
The takeaway: AI has turned creative production into an operational discipline. The creatives who win will think like systems designers, iterate like analysts, and still write like humans.
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