Murali Makkena - Fractional Chief AI Officer for Healthcare

Murali Makkena

I am an AI and data executive in healthcare with 20+ years of experience building and scaling compliant, production-grade platforms and AI systems in regulated environments.

Today, I work with healthcare leadership teams when AI initiatives stall, governance is unclear, or internal teams need senior ownership to move safely from experimentation to real-world impact. I help organizations take AI from prototype to compliant production, balancing speed with safety, trust, and long-term sustainability.

I believe strongly in building systems that work in the real world. Systems clinicians trust, leadership can govern, and engineering teams can operate and scale with confidence.

I founded Nuvii Partners to provide hands-on senior AI leadership without the overhead or rigidity of a large consulting firm.

Career Journey (Selected Highlights)

Nuvii Systems | Founder

Production Healthcare AI Systems
  • Building a deployable healthcare AI platform for clinical documentation, coding, and revenue integrity
  • Designing and implementing LLM-based workflows with RAG, evaluation, and auditability
  • Shipping HIPAA-aligned AI systems focused on accuracy, explainability, and real-world clinical use

Why this matters: This work keeps me deeply hands-on with the realities of deploying AI safely in regulated healthcare settings.

Amwell | VP, Head of Data & Engineering

Healthcare Transformation
  • Built FHIR- and HL7-interoperable data platforms, unifying data from EHR, EMR, and clinical partners into a centralized, governed data store
  • Designed and delivered zero-trust, HIPAA- and FedRAMP-compliant AWS GovCloud platforms for the Defense Health Agency
  • Built conversational and interaction analytics across virtual care encounters to improve clinician workflows, patient engagement, and care delivery performance

Why this matters: This work shaped my approach to deploying AI and data platforms safely inside the most regulated healthcare environments.

GRAX | VP of Engineering

Startup Leadership
  • Built a B2B data value platform enabling enterprises to operationalize Salesforce data in their own cloud environments
  • Scaled teams and platforms to support enterprise customers including Dell, Novartis, and Pepsi
  • Balanced startup velocity with enterprise reliability, security, and governance

Why this matters: I learned how to ship quickly without sacrificing trust or operational rigor.

Oracle | Architect to Director of Engineering

Enterprise SaaS Leadership
  • Owned multiple enterprise SaaS products used by thousands of enterprise customers
  • Led global teams modernizing legacy CRM into Oracle Sales Cloud and CX Cloud
  • Built and commercialized Sales Predictor, an ML-driven product for lead scoring and whitespace analysis (patented)

Why this matters: This experience grounded my ability to take ML from prototype to enterprise-grade production at scale.

Areas of Expertise

Fractional Chief AI Officer and Executive Leadership

Senior ownership for AI strategy, governance, and execution in regulated healthcare environments

AI Strategy and Production Execution

LLMs, RAG systems, evaluation, monitoring, and human-in-the-loop workflows taken from prototype to production

Healthcare Data, Interoperability, and Analytics

FHIR, HEDIS and quality measures, population health, clinical analytics, and AI-ready data foundations

Cloud Architecture, Compliance, and Scale

HIPAA, SOC 2, NCQA, HITRUST, and FedRAMP-aligned systems, with experience scaling teams and platforms from early-stage to enterprise adoption

My Approach

1

Understand Your Mission

Align on goals, constraints, risk tolerance, and current reality

2

Define Clear Ownership and Guardrails

What AI should do, what it should not do, and how it is governed

3

Ship in Small, High-Value Increments

Focused 4 to 6 week cycles that deliver visible progress

4

Leave You Stronger Than Before

Teams, architecture, and practices that operate confidently without dependency

How I Work

You work directly with me. I lead AI strategy, architecture, and execution personally.

When additional capacity is required, I bring in trusted senior engineers across ML, data, platform, and infrastructure. No junior layers. No unnecessary overhead.