Process automation

Apollo Tyres

Independently reportedManufacturingIndiaIn productionEnterpriseAI agents

Independently reported. An independent or peer-reviewed source reports this result, alongside the vendor.

Reported by enterpriseai.economictimes.indiatimes.com (independent reporting). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.

The problem

Production issues requiring root cause analysis (RCA) took an average of two hours when done manually.

What was deployed

Products
Manufacturing Reasoner
Technique
AI agents
Build or buy
Bought and customised
Deployment
Hybrid
Data used
real-time IoT data from over 250 curing presses
Scale
over 250 curing presses monitored; GenAI customer engagement platform handles 14,000 monthly commercial calls; operations span seven plants and over 100 countries

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

under 10 minutesTime for root cause analysisfrom average two hours

in under 10 minutes compared to average two hours spent earlier when done manually.

Quoted word for word from the source

Manual effort

This single leap has translated into an 88 per cent reduction in manual effort

Quoted word for word from the source

₹1.5 croreAnnual savingsannual

an estimated ₹1.5 crore in annual savings across Apollo’s Passenger Car Radial (PCR) division

Quoted word for word from the source

three minutesAverage call handling timefrom six minutes

cutting average handling time from six to three minutes.

Quoted word for word from the source

We’re not just adopting AI for its own sake; it’s about creating intelligent factories and processes that enable real-time, data-driven decisions across our global operations.
Harsh Vardhan

Difficulties and limits

Sources

Similar deployments

Shriram Finance

less than 3–4 hours — Onboarding Turn-Around-Time (TAT)

Independently reportedBanking & finance · Process automation · Classical ML · In production

GE Aerospace

Independently reportedManufacturing · Process automation · Classical ML · Scaled

Broadcom · Moveworks

88% — autonomous IT resolution rate

Independently reportedTechnology & software · Process automation · NLP · Scaled

Amazon · Amazon

10% more — shopper spend

Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024

icare · SAS

increased by 15% — accuracy

Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019

Met Office · AWS

under five minutes — Time to complete textual forecast generation

Independently reportedPublic sector · Process automation · LLM · Pilot