GoldenArc
Proof

Not testimonials. Track record.

The strongest proof an operator can offer: businesses I run, with my own P&L on the line, on the same systems I install for clients. Client case studies join this page as engagements clear publication.

Operating role · Healthcare services

EBITDA from −20% to +15% in twelve months, by rebuilding operations AI-first

The situation

A healthcare services company running on manual workflows: intake, scheduling, billing follow-ups, reporting — all human-powered, all bottlenecked. Losing money at −20% EBITDA.

The moves
  • — Mapped every knowledge workflow and ranked them by cost and error rate
  • — Replaced 8+ FTE-functions with 2 people + 12 AI agents — humans on judgment, agents on volume
  • — Built human-in-the-loop review so quality went up while headcount went down
  • — Instrumented cost per workflow so every automation paid for itself visibly
The numbers
  • EBITDA −20% → +15%
  • Operating expense down 40%
  • 8+ FTE functions → 2 people + 12 agents

I serve as the company's CRO; it stays anonymized until naming is cleared.

Founder & product lead · EcomDataIQ

Whiteboard to revenue-managing MVP in ten days — and live with paying brands since

The situation

E-commerce brands drowning in marketplace data nobody could act on. The bet: an AI analytics platform that turns raw marketplace feeds into pricing and inventory decisions.

The moves
  • — Shipped the MVP in 10 days on GCP — Cloud Run, BigQuery, multi-agent pipelines
  • — Built RAG memory and custom decision systems tuned to each brand's catalog
  • — Human-in-the-loop evaluation framework so recommendations earned trust before autonomy
  • — Priced against outcomes, not seats — the platform pays for itself or doesn't get renewed
The numbers
  • MVP in 10 days
  • $10M+ revenue under management
  • Paying customers on GCP, in production

My own company — the testbed where my client playbook runs first.

Global head of strategic alliances · DataStax

Built the IBM alliance from zero to ~30% of ARR — the thesis behind a ~$1.6B acquisition

The situation

DataStax needed a strategic growth engine beyond direct sales. IBM was an obvious giant and an unproven partner: zero joint revenue, no shared roadmap.

The moves
  • — Built the partnership thesis: where DataStax's data platform completes IBM's AI story
  • — Drove joint solutions and field alignment until the partnership produced real pipeline
  • — Grew IBM-sourced revenue from $0 to ~30% of company ARR
The numbers
  • $0 → ~30% of ARR via IBM
  • ~$1.6B IBM acquisition (2025)
  • The alliance thesis became the exit thesis

Enterprise-scale proof that the positioning work holds at billion-dollar stakes.

Twenty years of receipts

The numbers behind the resume

Before the AI-first chapter: my two decades of building, delivering, and selling at enterprise scale.

$1B+/yr

revenue HCL generates today on SAP-as-a-Service blueprints I co-designed

$90M → $280M

single-engagement ARR growth at Cognizant (JP Morgan, BlackRock, Bridgewater)

~$60M

from 17 new accounts I opened as Director of Global System Integrators at Hitachi

200% YoY

strategic-partner growth at Veritas, $20M in enterprise deals

$0 → $18M

in 6 months as employee #17 at Fujitsu's India business

Multi-million

revenue at 19% EBITDA bootstrapping my own brand, Life Sutra (Amazon, Walmart, Macy's)

20 years of enterprise proof — employers, clients & partners
HPFujitsuHCL TechnologiesCognizantHitachiVeritas TechnologiesDataStaxLife SutraPristene HealthIBMSAPJPMorganChaseBlackRockBridgewater Associates
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The next case study on this page could be yours.

Every engagement is designed to produce numbers worth publishing — that's what instrumentation is for. Start with a 30-minute call.

Book an audit callPrefer email? mayur@goldenarc.ai

Every note is read by me, not a funnel. — Mayur Sethi