About SreyCapital

Enterprise AI and automation, built for the real world.

Passion. Experience. Diligence.

SreyCapital is a boutique advisory firm focused on one thing: turning AI from experiments into accountable business outcomes for asset‑intensive and regulated enterprises.

We work with CEOs, CFOs, and COOs who need AI portfolios that move P&L, stand up to board and regulatory scrutiny, and actually change how the business runs—not just produce impressive demos.

About Mythili Ramamoorthy Arukil

Srey Capital is led by Mythili Ramamoorthy Arukil, a Chief AI Officer (CAIO) and technology executive with more than 20 years of experience leading AI, automation, data, and product organizations. She has worked across industrial services, utilities, fintech, insurance, and other asset‑intensive operations in North America and globally.

Mythili has served as a fractional CAIO and strategic advisor to C‑suite leaders at companies including Marmic Fire & Safety and Likewize, where she designed and led enterprise AI and automation portfolios, AI operating models, and AI governance frameworks. Her work has delivered outcomes such as:

  • 5M+ in revenue recovery via AI‑driven billing validation and financial automation.

  • 12M in targeted operational efficiency across claims, fraud, and customer support.

  • 64% reduction in operational errors and 70% lower document processing costs, with 50,000+ manual hours repurposed annually.

  • Leadership of a 10M portfolio and ~50 product, engineering, and data professionals across India and North America.

How We Work

  • Board‑aware. We translate AI value, risk, and trade‑offs into language boards and audit/risk committees can act on.

  • Operator first. From IoT and digital payments to water intelligence and insurance, we have taken AI from pilot to production in messy, real‑world environments.

  • Regulation‑ready. We work closely with Risk, Compliance, and Legal so AI programs meet regulatory expectations and internal policy from day one.

  • Change‑focused. We design operating models, roles, and incentives that make AI stick, not just launch