Client Stories
Results That Speak for Themselves.
Real outcomes. Real businesses. Names withheld for confidentiality; outcomes verifiable on request.
Names withheld for confidentiality. Outcomes verifiable on request.
Manufacturing · ₹280 Cr Revenue
From 15-Day Month-End to 3-Day Close — and a Real-Time CFO Dashboard
The Situation
A multi-plant textile business operating across four locations was flying blind on division-level profitability. Month-end took 15 days. Variance commentary was written manually. The board saw numbers nearly three weeks after they were earned.
What We Did
- Consolidated four plant books into a single source of truth
- Automated variance commentary via AI (first-draft in 15 minutes)
- Deployed a live CFO dashboard refreshing every 4 hours
- Reworked the chart of accounts for division-level P&L visibility
- Trained the in-house finance team to own the new system
The Outcome
15→3 daysMonth-end close
₹4.2 CrWorking capital freed
35→90%+ERP utilisation
Real Estate · ₹450 Cr AUM
Governance Architecture for a Family-Run Developer Going Institutional
The Situation
A second-generation promoter was preparing for a PE round. Governance, SOPs, and audit trails were not institutional-grade.
What We Did
- Built the internal control framework from scratch
- Designed RERA-aligned SOPs for every major process
- Automated compliance calendar (GST, TDS, RERA, income tax)
- Architected investor-grade MIS and board reporting cadence
- Coached the next-gen leadership on boardroom readiness
The Outcome
100%Compliance on-time
₹85 CrPE round closed
ZeroAudit qualifications
D2C Brand · Series A Ready
Unit Economics, Investor Reporting & AI-Driven Pricing for a Scaling D2C
The Situation
A digitally native brand with ₹60 Cr revenue was profitable on blended margins — but 3 of 12 SKUs were subsidising the others.
What We Did
- Rebuilt unit-level P&L including fulfilment and return costs
- Deployed AI-driven pricing recommendations by SKU and channel
- Automated investor updates via a live dashboard
- Trained founders and operators on the new system
The Outcome
+6.8%Blended margin
−22%Inventory days
3× fasterInvestor reporting
Services · 320 Headcount
AI-Led People Analytics: Predicting Attrition 90 Days Before It Happens
The Situation
An IT services firm was losing key engineers with no early warning.
What We Did
- Built an attrition-risk model from 24 months of people data
- Redesigned retention trigger workflows
- Embedded quarterly capability reviews
- Trained HR and line managers on reading the risk dashboard
The Outcome
−34%Voluntary attrition
90 daysFlight-risk lead time
₹1.1 Cr/yrReplacement cost saved
