About ArkAI Advisors

Founder-Led. Selective.
Outcome-Driven.

ArkAI Advisors is intentionally capacity-constrained. All engagements are founder-led and selective.

This is not a consulting firm. This is senior, hands-on execution leverage.

Leadership
Surya R. Sagi

Surya R. Sagi

Founder & Principal

I operate as a Fractional CTO and Strategic Advisor to a small number of enterprise leaders. I do not run a consulting organization or a delivery body shop. I bring direct CTO-level decision authority to unblock architectural, organizational, and governance constraints that stall transformation.

Why ArkAI Advisors Exists

After 26 years building and scaling enterprise platforms—most recently modernizing a $1.3B global logistics division—a clear pattern emerged.

Organizations have ambition. They invest in AI, data, and modernization. But they lack a Zero-Surgery execution strategy: the ability to embed AI, governance, and automation into live systems without destabilizing revenue, compliance, or operations.

Most initiatives stall in pilot purgatory—impressive demos that never survive audits, scale, or real operational pressure. I left to solve this specific gap.

The Problem I Solve

I bridge the gap between Boardroom AI Strategy and Engineering Reality. I help executive teams design and operationalize platforms that are:

  • ✓ Governable by policy, not trust
  • ✓ Compliant by design (FedRAMP / IL4 / regulated frameworks)
  • ✓ Built to generate measurable revenue and efficiency outcomes
  • ✓ Capable of evolving without ripping out the core

The cost of getting this wrong is not academic. It shows up as failed audits, stalled growth, operational risk, and irreversible platform debt.

The ArkAI Connection

Through this advisory work, I refine and harden a set of execution principles and accelerators for governed, outcome-driven AI and platform modernization.

These principles also inform the ArkAI platform, which is a separate product company. The advisory stands on its own. Engagements are platform-agnostic and designed to leave clients with durable standards and ownership.

Where appropriate, some clients later choose to operationalize these standards through ArkAI technology under separate commercial terms—but that is never a prerequisite.

Track Record

750+
Engineers Led Globally
$1B+
Revenue Scaled
$25M+
Annual Efficiency Gains

Core Expertise

Platform Modernization

Led modernization of a $1.3B division, unifying 20+ products into a single global platform. Delivered rationalization, automation, and cloud optimization without disrupting live revenue streams.

AI & Data Innovation

Built enterprise AI and data ecosystems delivering $100M+ in new revenue. Embedded governed agentic AI, achieving ~40% code generation, ~35% productivity lift, and 30%+ faster delivery cycles.

Regulated Systems

Architected FedRAMP / IL4-aligned SaaS platforms serving 500K+ clients and U.S. agencies at 99.99% uptime, integrating multi-carrier logistics and cryptographic trust frameworks.

Global Delivery

Built scalable GCC-led delivery models enabling cost efficiency, deep talent pipelines, and true 24×7 product velocity across geographies.

Why ArkAI Advisors

Four Pillars of Execution

Operator-Led

Not career consultants. Every engagement is led by a CTO who has owned revenue, uptime, and regulatory outcomes in production environments.

Enterprise-Grade

Built for scale and scrutiny, with real experience operating under FedRAMP, IL4, and enterprise audit regimes.

Architecture-First

Not tool-first. Systems are designed around business logic, governance, and decision flows—technology choices come last.

Outcome-Driven

Measured by results, not decks: revenue growth, cost reduction, execution velocity, and operational resilience.

Not a Fit

ArkAI Advisors does not engage in exploratory AI labs, tool-first pilots, staff augmentation, or open-ended consulting retainers.

Engagements are intentionally finite and conclude with ownership transfer, operating metrics, and executive accountability.

Ready to Discuss Your Initiative?

If you are responsible for outcomes—not experiments—and need to move from AI ambition to production reality, we should talk.

Schedule a Strategic Discussion