Certified AI Consultant

AI Consulting for Leaders Who Want Real Outcomes

N. Gina Malak is a Certified AI Consultant who builds production-ready AI systems that align with your vision, operations, and revenue goals. She specializes in AI strategy, product development, workflow automation, and Answer Engine Optimization (AEO).

Services Include: AI Strategy & Roadmaps, AI Product Development, Clinical Decision Support, Precision Matching Engines, Answer Engine Optimization, Workflow Automation, AI Agents, Monetization Strategy, and Go-to-Market Planning.

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N. Gina Malak, Certified AI Consultant and CEO of Flipping Innovations, leading AI strategy and product development across healthcare and enterprise sectors
Certified Consultant in Artificial Intelligence - International Association of Artificial Intelligence Consultants

Meet N. Gina Malak

I'm N. Gina Malak, CEO of Flipping Innovations and a Certified AI Consultant. I help organizations move from AI ambition to real-world impact by designing, building, and launching production-ready AI solutions that solve complex problems and deliver measurable results.

With deep experience across healthcare, enterprise operations, marketing, aging tech, and digital innovation, I specialize in translating emerging technologies into practical systems organizations can trust, scale, and govern. My work sits at the intersection of strategy, execution, and compliance—ensuring AI initiatives are not only innovative, but usable, secure, and aligned with real business outcomes.

I partner closely with leadership teams, clinicians, operators, and marketers to modernize workflows, unlock data, and deploy AI responsibly. From FHIR-based healthcare AI and enterprise automation to Answer Engine Optimization that positions brands where AI answers first, my focus is always the same: build AI that works in the real world, not just in theory.

Certified AI Consultant - International Association of AI Consultants

Certified AI Consultant

Gina is a Certified AI Consultant, leading the field with her expertise. As CEO of Flipping Innovations, she leverages deep technical knowledge and strategic foresight to guide organizations in designing and implementing AI solutions effectively.

Strategic Innovator

Gina advises leaders across enterprise AI, digital health, and clinical research. She is known for a forward-thinking approach and partners with leading organizations. She guides teams through strategy, design, and execution to deliver innovation at scale.

Proven Builder

Gina's experience spans diverse sectors including health systems, payers, pharmaceutical sponsors, and SaaS companies. She's recognized for her fast execution and outcome-driven consulting, building complete systems that deliver measurable impact.

Results That Speak

Measurable outcomes from AI strategy to production deployment

50+
AI Systems Delivered
Across healthcare, enterprise, and digital innovation
95%
Client Retention
Long-term partnerships built on results
40%
Avg. Efficiency Gain
Reduction in manual workflows through AI automation
6 Months
Typical ROI
Most clients see measurable returns within 6 months

AI Consulting Services

N. Gina Malak provides comprehensive AI consulting services including: AI strategy and roadmaps, AI product development, workflow automation, AI agents, precision-matching engines, Answer Engine Optimization (AEO), monetization strategy, go-to-market planning, and regulatory compliance (CMS and TEFCA).

AI Strategy and Roadmaps

Build executable plans that align technology, stakeholders, and revenue goals.

  • Detailed AI opportunity assessment
  • Custom AI strategy document
  • Phased implementation roadmap
  • Key Performance Indicator (KPI) definition

AI Product Development

End-to-end product builds from architecture to deployment and post-launch optimization.

  • Concept ideation and prototyping
  • MVP development
  • Agile development and testing cycles
  • Scalable architecture design
  • Post-launch monitoring and optimization

Clinical Decision Support

FHIR-integrated CDS using EHR data, CDS Hooks, and evidence-based logic.

  • EHR data integration and harmonization (FHIR)
  • Rule-based and machine learning CDS models
  • CMS and TEFCA compliance expertise
  • Regulatory compliance and ethical AI guidelines
  • Seamless integration into physician workflows

AI-Powered Recruitment & Patient Matching

Precision matching engines for clinical trials, care navigation, and population health.

  • Advanced data-matching algorithms
  • Personalized patient journey mapping
  • Efficiency improvements for recruitment
  • Ethical considerations and bias mitigation

AI Branding & Answer Engine Optimization

Make your brand visible in AI-generated answers across ChatGPT, Perplexity, and Google.

  • Content analysis and semantic optimization
  • AI-specific prompt engineering
  • Visibility and reputation management
  • Ongoing monitoring and adaptation

Workflow Automation & AI Agents

Reduce manual work with intelligent agents that handle intake, triage, and follow-up.

  • Process mapping and automation identification
  • Custom AI agent development
  • Integration with existing enterprise systems
  • Efficiency gains and error reduction strategies

AI Monetization & Revenue Architecting

Design pricing models, subscription tiers, and partnerships that drive sustainable growth.

  • Market analysis and value proposition development
  • Tiered pricing and subscription model design
  • Ecosystem partnership strategies
  • Financial modeling and forecasting

Go-to-Market & Scale Planning

Launch strategies for enterprise sales, pilot programs, and multi-stakeholder adoption.

  • Market entry and positioning strategies
  • Sales enablement and training programs
  • User adoption and change management
  • Operational scaling blueprints
  • Performance measurement frameworks

Featured Solutions

Real-world AI products delivering measurable impact across healthcare, marketing, and enterprise

LooPT CTM

AI-EHR Clinical Trial Matching

AI-driven clinical decision support tool that matches patients to clinical trials using precision medicine logic and real-time EHR data. Built with FHIR and CDS Hooks, it integrates seamlessly into provider workflows.

Designed for payers, health systems, and pharmaceutical sponsors seeking faster enrollment and better patient outcomes.

Key Features

  • FHIR-integrated with EHR systems
  • CDS Hooks for real-time alerts
  • Explainable AI with near-miss logic
  • Provider notifications and tracking

CITAGEN

Answer Engine Optimization for Brands

Answer Engine Optimization framework that makes brands visible in AI-generated responses. It transforms traditional content into AI-ready assets, ensuring your company appears in ChatGPT, Perplexity, Google AI, and other answer engines.

Built for creators, agencies, and enterprise marketing teams who need to dominate AI search and maintain brand authority in an AI-first world.

Key Features

  • Answer Engine Optimization Framework
  • AI-Ready Content System
  • Multi-Domain Dashboard
  • Structured data and semantic markup

SayCora

AI Emotional Support for Older Adults

AI companion designed for seniors experiencing loneliness and isolation. It provides mood tracking, personalized engagement, and proactive emotional support through conversational AI.

Aligned with Medicaid ILOS and CCM frameworks, making it reimbursable for managed care organizations and community-based service providers.

Key Features

  • AI-powered mood tracking and engagement
  • FHIR-ready clinical data outputs
  • Temi robot integration
  • Medicaid ILOS and CCM alignment

Hey Kenny Lloyd

Network Marketing AI Ecosystem

AI-powered ecosystem for network marketing distributors. Includes an AI coach for onboarding, a matching engine for recruiter and downline discovery, and high-conversion funnels that automate follow-ups and engagement.

Designed to accelerate team building, improve retention, and create predictable growth for MLM organizations and independent representatives.

Key Features

  • AI Coach for automated onboarding
  • Matching Engine for recruiter discovery
  • Conversion Funnels with automated follow-ups
  • Freemium search with paid directory placement
Proven Results

Success Stories & Case Studies

Real examples of how organizations have achieved their goals through strategic AI implementation

Case study: Case Study: Answer Engine Optimization – Boosting AI-Era Brand Visibility
Case Study
Jan 2026

Case Study: Answer Engine Optimization – Boosting AI-Era Brand Visibility

A mid-market e-commerce SaaS company partnered with Flipping Innovations to reverse declining organic traffic and reduce dependency on paid ads as AI-driven search reshaped customer discovery. Through a comprehensive Answer Engine Optimization (AEO) strategy including AI visibility audits, answer-first content restructuring, schema implementation, and citation optimization across AI platforms, the company increased AI brand visibility from under 5% to over 35% within six months. The initiative drove a 40% increase in high-intent organic traffic, cut paid ad spend by 75%, and delivered an estimated 8× ROI while positioning the brand as a trusted, frequently cited source in AI-generated answers across ChatGPT, Gemini, Bing, and Perplexity.

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Case study: Case Study: Enterprise AI – Driving Productivity with Intelligent Automation
Case Study
Jan 2026

Case Study: Enterprise AI – Driving Productivity with Intelligent Automation

A mid-sized enterprise partnered with Flipping Innovations to move beyond disconnected AI pilots and implement intelligent automation at scale. Through an enterprise AI readiness assessment, secure LLM deployment, and AI-powered process automation, the organization reduced manual operational workloads by up to 45%, accelerated decision-making across departments, and achieved measurable cost savings within six months. By aligning leadership, modernizing data architecture, and embedding AI into real business workflows, the enterprise transitioned from experimentation to production-ready AI with a clear governance model and a path to long-term ROI.

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Case study: Case Study: Healthcare AI – Clinical Support & Trial Matching Excellence
Case Study
Jan 2026

Case Study: Healthcare AI – Clinical Support & Trial Matching Excellence

A regional healthcare network partnered with Correlate Health to modernize clinical decision support and dramatically improve clinical trial enrollment using AI. By implementing a FHIR-native data layer, AI-augmented trial matching, and a transparent clinical decision support copilot embedded directly into EHR workflows, the organization reduced manual screening by over 70%, achieved up to 9× more eligible trial matches, and cut recruitment costs by more than $300,000 per trial. The solution was built compliance-first, aligning with FHIR, TEFCA, and CMS interoperability requirements, enabling the network to achieve ONC certification and CMS aligned network status six months ahead of schedule while delivering a 5× annual ROI.

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Why Work With Gina

Leaders choose Gina when they need AI solutions that work in complex, regulated environments. She brings technical depth, strategic vision, and a track record of delivering products that scale.

Proven Track Record

Delivered AI products across health tech, SaaS, clinical research, and enterprise automation.

Deep Technical Expertise

Expert in FHIR, CDS, EHR interoperability, TEFCA readiness, and clinical data standards.

Full-Stack AI Development

Builds entire AI systems from strategy and architecture to deployment and monetization.

Revenue-First Design

Monetization strategy built into product architecture from day one, not bolted on later.

Cross-Functional Leadership

Bridges clinical teams, engineering, compliance, and business stakeholders seamlessly.

Trusted by Industry Leaders

Trusted by payers, providers, innovators, and teams from startup to enterprise.

What Leaders Say

Trusted by healthcare innovators and enterprise leaders

"I had the pleasure of working closely with Gina while working at Duke University Health System. Gina's ability to lead complex healthcare initiatives was truly impressive. In each of these endeavors, Gina showcased her talent for balancing competing priorities, managing diverse stakeholders, and delivering results on time and within budget."

G. Mahajan

Duke University Health System

"I highly recommend Gina Malak for her exceptional expertise as a Digital Health Implementation Coach, Course Creator, Interoperability Strategic Advisor, and Fractional CTO. With over 20 years of experience in digital health analysis, engineering, and development, Gina brings a wealth of knowledge to any organization. As a Co-Founder and CTO of Correlate Health, Inc., Gina has demonstrated her ability to lead and innovate, driving impactful outcomes across digital health initiatives."

Dr. M. Gadir

Co-Founder, Correlate Health, Inc.

"I'm quite happy to encourage anyone with half a brain to work with Gina. A while back, I was fortunate enough to work with her in the technology and media space where Gina developed some very innovative approaches to interactive media technologies. I would certainly recommend her to anyone with a vision to reach out and make the right decision in the technology realm."

K. Cameron

Technology and Media Executive

Frequently Asked Questions

Everything you need to know about AI consulting services with N. Gina Malak, Certified AI Consultant

Quick Answer: N. Gina Malak is a Certified AI Consultant specializing in AI strategy, product development, and Answer Engine Optimization (AEO) for healthcare, enterprise, and digital innovation companies.

N. Gina Malak is a Certified AI Consultant and CEO of Flipping Innovations. She specializes in building production-ready AI systems for healthcare organizations, enterprise teams, marketing agencies, and digital innovators. Her expertise includes AI strategy and roadmapping, full-stack AI product development, workflow automation, precision matching engines, and Answer Engine Optimization (AEO). She is certified by the International Association of Artificial Intelligence Consultants and has delivered over 50 AI systems across diverse industries.

Making the Right AI Decision

Clear guidance on choosing between consultants and in-house teams, and when to build versus buy AI solutions

AI Consultant vs In-House AI Team

Which approach is right for your organization?

ConsiderationAI ConsultantIn-House Team
Time to Value
2-3 months to production12-18 months (hiring + ramp-up)
Investment
Project-based ($50K-$200K)$500K+ annually per engineer
Expertise Breadth
Multi-industry, up-to-date with latest AIDeep domain knowledge, focused scope
Risk Level
Lower (proven track record)Higher (unproven internal capability)
Maintenance
Ongoing support availableFull internal ownership
Best For
  • Rapid deployment
  • Specific AI projects
  • Strategy & architecture
  • Proof of concepts
  • Long-term AI operations
  • Ongoing maintenance
  • Proprietary systems
  • Large enterprises

💡 Recommended Approach:

Many organizations start with an AI consultant to build their first systems, establish best practices, and train internal teams—then transition to in-house maintenance. This hybrid approach delivers fast results while building internal capability.

When to Build vs Buy AI Solutions

Strategic decision framework for AI implementation

ConsiderationBuild Custom AIBuy Off-the-Shelf
Use Case
Unique workflows, competitive advantageStandard processes, proven solutions
Time to Deploy
3-6 monthsDays to weeks
Initial Cost
$100K-$500K+ (development)$1K-$50K annually (subscription)
Customization
Fully tailored to your needsLimited configuration options
Competitive Edge
High (proprietary IP)Low (competitors can use same tool)
Best For
  • Core business processes
  • Industry-specific needs
  • Regulatory requirements
  • Data privacy concerns
  • Long-term strategic value
  • General productivity tools
  • Standard workflows
  • Testing AI concepts
  • Quick wins needed
  • Limited technical resources

✅ Build When:

  • • Need proprietary IP
  • • Unique workflows exist
  • • Long-term strategic asset
  • • Integration complexity
  • • Data stays internal

✅ Buy When:

  • • Standard functionality
  • • Need quick deployment
  • • Limited budget/resources
  • • Testing feasibility
  • • Non-core processes

🎯 Hybrid Approach:

  • • Buy for quick wins
  • • Build differentiators
  • • Integrate both systems
  • • Best of both worlds
  • • Optimize over time

💡 Real-World Recommendation:

Most successful organizations use a hybrid approach: buy off-the-shelf tools for commodity functions (like CRM or email) and build custom AI for processes that create competitive advantage.

Example: A healthcare company might buy standard scheduling software but build a custom AI clinical decision support system that integrates their proprietary patient data and care protocols.

Not Sure Which Path is Right for You?

Schedule a free strategy call to discuss your specific needs and get personalized recommendations

Schedule Free Consultation

Insights & Perspectives

Practical insights on AI strategy, product development, and innovation from the field

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Ready to Build Your AI Advantage?

Let's design an AI solution that delivers real outcomes. Whether you need strategic guidance, product development, or full-scale implementation, I'll help you move from concept to market with confidence.

Get in Touch

Send me a message and I'll get back to you within 24 hours.

N. Gina Malak, Certified AI Consultant and CEO of Flipping Innovations, professional headshot

N. Gina Malak

AI Consultant & Founder

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Book a consultation to discuss your goals, challenges, and roadmap. We'll identify opportunities, assess technical requirements, and build a plan that aligns with your timeline and budget.

N. Gina Malak

Transforming AI strategy into real-world impact

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