Success stories

Real businesses. Real outcomes.

Different technology. Same rule: solve the operational problem first. Each engagement used AI, automation or a digital system, whichever the problem called for.

Each story is labelled by status and evidence basis, so a proof of concept is never presented as a production system.

All success stories

QA & Compliance · Pharmaceutical Manufacturing

In production

How Lewens Labs Reduced QA Review Cycles from 19 Days to 6 Days

ChallengeManual batch record reviews were creating compliance risk and consuming thousands of hours of expert QA time.

What we builtAn AI review assistant checks each batch record against SOP requirements and links every finding to the exact page and field in the source document.

Hours recovered / Month
280+
Review cycle time
19 Days → 6 Days
False Positive Rate
<2%

Operational Control · Oil & Lubricants Manufacturing

Implemented

How Shell Ind Pvt Ltd Stopped Wrong-Drum Unloading with Scan-Before-Unload Checks

ChallengeManual drum identification during unloading risked wrong-additive usage, batch contamination and audit gaps.

What we builtAn on-premises QR/barcode system validates every drum against its production order and blocks the unloading of any mismatch.

Wrong drum unloading incidents after implementation
Zero
Client-estimated annual loss avoided
₹25–40 Lakhs
Projected payback period
<12 Months

Visibility · Engineering & Construction Projects

Implemented

How Powertech Engineers Centralised Daily Site Progress Tracking Across Multiple Projects

ChallengeDaily progress from multiple sites arrived as scattered WhatsApp messages, photos and reports that leadership had to piece together by hand.

What we builtAn automated workflow captures site updates from existing channels and turns them into a central dashboard with a traceable project history.

Project Updates Centralised
100%
Reduction in Manual Progress Tracking
80%+
Risk & Delay Escalation
3x Faster

Decision Intelligence · Manufacturing

Proof of concept

How Window Maker Validated AI-Powered ERP Analytics Before Investing in Full-Scale Implementation

ChallengeEvery non-trivial question about ERP sales, orders and revenue waited on someone who could write SQL, or on the reporting team's queue.

What we builtA three-week proof of concept turned natural-language questions into safe, read-only SQL on a whitelisted subset of the ERP.

End-to-end POC delivered
3 Weeks
Natural-language querying validated
Self-Serve
Whitelisted, governed access
Read-Only

How we decide what to build first: the five operational dimensions.

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