PolicySeptember 6, 2026

India's manufacturing sector requires work redesign and AI to boost productivity

A recent KPMG report highlights that India’s manufacturing sector is entering a pivotal era for productivity gains. Future growth depends on a comprehensive redesign of workflows and the strategic integration of artificial intelligence to enhance operational efficiency across the shop floor.

Why it matters

For enterprise developers, this shift represents a massive opportunity to deploy industrial AI agents and advanced automation. Success requires moving beyond simple digitisation to fundamental process re-engineering using intelligent systems.

Key points

Productivity gains now depend on reshaping traditional manufacturing workflows.
AI integration is identified as a primary driver for future industrial competitiveness.
The sector must transition from basic digitisation to AI-led process redesign.

More AI news

Models

US allows domestic AI developers to share advance models with UK for safety testing

The United States has enabled domestic artificial intelligence developers to grant the United Kingdom government early access to proprietary models for security evaluations. This arrangement facilitates formal safety assessments prior to commercial deployment without triggering regulatory friction between both nations.

Tooling

Shanghai AI Lab unveils RSI-Anything framework to boost code repair and planning

Researchers from Shanghai AI Lab, CUHK, NTU, and Oxford have introduced RSI-Anything, a framework built upon JEPA-Anything. The system uses predictive world models to simulate environments and enhance autonomous agent decision-making. The approach lifts code-repair agent accuracy to 31.2 percent and lab planning success to 46 percent.

Tooling

Securing autonomous AI agents as integration shifts from answering to acting

As artificial intelligence transitions from conversational answering to autonomous action via protocols like the Model Context Protocol, systems increasingly execute operational tasks across external tools. This shift introduces distinct security risks for autonomous agents interacting with corporate software environments. Engineering teams must now navigate newly emerging attack surfaces as models gain permission to manipulate systems directly.

Ready to build something
extraordinary?

15 minutes. No pitch deck. Just a conversation about what AI can do for your team.

Talk directly with our AI specialists

15 min, no strings

No sales pressure

Prototype in 7 days