Velocity hiked internal productivity by 4x by embedding AI agents directly into its core operations. This marks a shift from simply using AI tools to building entire businesses around automated, data-driven decisions. For founders, it changes the fundamental blueprint for scaling efficiency and customer support.
How We Got Here
Founders have been experimenting with AI tools for the last 18 months, but the industry is now moving to AI-first system architecture. This push to embed AI from day one was a key topic at the Snowflake x AWS Mixer in Bengaluru on April 24, 2026.
The Numbers
- Velocity's Vani AI agent extends capabilities into the shipping stack to reduce revenue loss.
- BigHaat uses AI for crop disease detection, predictive weather insights, and cropping pattern analysis.
- Their platform combines geolocation, crop-stage data, and community inputs to enable farmer decisions at scale.
- Arkam VC Principal Abhishek Mishra notes the shift to outcome-driven AI in healthcare, legal, and education sectors.
- AWS Cloud Sales Leader Smita Satyavada points to hybrid tech adoption: open-source for differentiation, proprietary for scale.
What Happens Next
🇮🇳 Why This Matters for India
For founders and engineers building in fragmented sectors like agriculture and logistics across Tier-2 and Tier-3 cities, leveraging agentic AI systems offers a path to scale operations and customer reach efficiently.
The Take
Most founders are still thinking "how can I use AI?" — the winning question for the next 18 months is "how can I re-architect my business to be AI-first?" This means re-evaluating every workflow for agentic automation, not just plugging in a ChatGPT API.
Source:
YourStory ↗