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    AI-Powered Technology Leadership

    Your Tech Stack Is Costing You Money. It Should Be Making You Money.

    I'm Rob Riggs. I build AI-powered technology platforms for $2M-$50M professional service firms. Systems that drive revenue, eliminate waste, and scale without breaking. From zero to 500,000+ users. From SMB to Fortune 500. CTO, VP of Engineering, or the person who finally makes your tech stack earn its keep: 20+ years of doing exactly that.

    Rob Riggs, fractional AI and revenue technology leader, arms crossed
    Trusted By
    Industry Leaders
    Client Logo 1Client Logo 2Client Logo 3Client Logo 4Client Logo 5Client Logo 6Client Logo 7Client Logo 8Client Logo 9Client Logo 10Client Logo 11Client Logo 12Client Logo 13Client Logo 14Client Logo 15Client Logo 16
    The Problem

    What Happens When
    Technology Leadership Is Missing

    You might have developers. Maybe even a small IT team.
    But here's what's probably true:

    Your technology decisions aren't connected to revenue.

    Systems get built because someone needed something. Not because there was a strategy. The result: tools that don't talk to each other, data that lives in silos, and a tech stack that nobody fully understands.

    Technical debt is quietly strangling your growth.

    That workaround from three years ago? It's now load-bearing. The CRM your sales rep configured? It's the only thing connecting your pipeline to your billing. Every new feature takes twice as long because everything is duct-taped together.

    You're paying for a full stack but using 20% of it.

    Licenses, tools, platforms, integrations. You're spending tens of thousands a year on technology your team barely touches. Nobody's audited what you actually need versus what you're paying for.

    AI could transform your operations, but nobody owns it.

    Your team has seen the demos. Maybe someone even bought a subscription. But without technical leadership to evaluate, implement, and integrate AI into your actual workflows, it's just another unused tool.

    You don't need more developers. You need technology architecture.

    Hiring another developer won't fix a strategy problem. You need someone who can see the whole picture, make the hard decisions about what to build, buy, or kill, and connect every technology investment to business outcomes.

    Already Have a CTO or Dev Team?
    Good. I Make Them More Effective.

    I'm not here to replace your technical team. I'm here to give them what they're missing: the strategic architecture and AI layer that turns their code into scalable business results.

    Here's how it works in practice:
    Your Team Handles
    I Handle
    Day-to-day development and maintenance
    Technology strategy: what to build, what to buy, what to kill
    Bug fixes and feature requests
    Architecture decisions: how systems connect, scale, and support revenue
    Managing servers, deployments, uptime
    AI integration: identifying where AI creates real ROI, not experiments
    Writing code
    Translating business goals into technical roadmaps your team can execute
    Reporting on tickets and sprints
    Reporting on technology's impact on revenue, efficiency, and growth
    Your team keeps doing what they're good at. I build the systems that multiply their impact.
    What I Actually Do

    What AI-Powered Technology
    Leadership Looks Like

    This isn't about writing code or managing sprints. This is the strategic and architectural layer that makes every technology investment pay for itself.

    Platform Architecture and Strategy

    Audit your current systems. Map how data flows (or doesn't) across your organization. Design an architecture that connects front-office systems (CRM, marketing, sales) with back-office systems (ERP, billing, operations) into one cohesive, scalable platform.

    AI Implementation and Integration

    Evaluate which AI tools are real and which are hype. Deploy AI where it creates measurable impact: automating manual processes, enhancing decision-making, improving client experience, and reducing operational costs. Build it on a solid data foundation so it actually works.

    CRM and ERP Integration

    Connect the systems that should have been connected years ago. Ensure that revenue data, client data, and operational data speak the same language. Eliminate the spreadsheets, the manual exports, and the 'ask Sarah, she knows how it works' dependencies.

    Technical Team Leadership and Direction

    Give your developers and IT team clear priorities, architectural guidance, and a roadmap they can execute against. Translate business objectives into technical requirements so nothing gets lost between the CEO's vision and the team's sprints.

    Compliance and Security Architecture

    In healthcare, legal, and financial services, technology decisions carry regulatory weight. I build systems with compliance baked in from the start: HIPAA, FINRA, PII, ADA/WCAG, data privacy. Not bolted on after the fact.

    Vendor Evaluation and Cost Optimization

    Audit every tool, license, and platform you're paying for. Eliminate redundancy. Renegotiate contracts. Ensure you're getting ROI from every technology dollar. I've maintained IT costs under 10% of revenue while scaling platform capacity 5x.

    How AI Changes This Role

    Here's What AI Brings to Technology Leadership That Didn't Exist 3 Years Ago

    I've spent 20+ years building the platforms and infrastructure that AI now supercharges. The foundation came first. AI is the accelerant.

    Traditional Technology Leader
    AI-Powered Technology Leader (Rob)
    Builds systems that store and process data
    Builds systems where AI analyzes data, surfaces insights, and triggers actions automatically
    Manages integrations manually or through basic automation
    Deploys AI-powered orchestration that connects systems intelligently, not just mechanically
    Evaluates tools based on features and price
    Evaluates tools based on AI readiness, data quality requirements, and long-term scalability
    Scales by adding headcount and infrastructure
    Scales by deploying AI to handle volume, complexity, and decision-making that used to require people
    Reacts to system failures
    Uses predictive monitoring and AI to prevent failures before they happen
    A tech stack that costs money or a tech stack that compounds revenue. AI expertise is the difference.
    Results

    Real Results From
    Real Technology Leadership Engagements

    Savify | CTO and Partner

    From Zero to 500,000+ Users and $50MM+ in Ecosystem Revenue

    Architected and built the entire technology platform from nothing. Multi-tenant SaaS serving 20+ enterprise clients including FIS, Worldpay, and Global Payments. 500,000+ SMB merchants. $2MM/year in direct revenue. $50MM+ in annual merchant revenue across the ecosystem. 99.9% uptime. IT costs under 10% of revenue.

    500K+ Users
    $50MM+ Ecosystem Revenue
    99.9% Uptime
    LabCorp, Hitachi, Masonite, FIS, Children's Healthcare of Atlanta | Enterprise

    Complex Technology Integrations for the World's Most Demanding Organizations

    Led technical and marketing transformations where systems must perform at scale, compliance is non-negotiable, and every architecture decision directly impacts revenue. Designed systems processing millions of transactions annually. 100% regulatory compliance maintained across all engagements.

    20+ Years
    6+ Major Brands
    100% Compliance Record
    Multiple Clients | Healthcare, Legal, Financial Services

    Technology That Connects Departments, Not Just Systems

    Built integrated CRM and marketing automation systems for marketing and sales teams. Led enterprise HR technology projects for LabCorp and Blytheco. Designed CRM/ERP integrations connecting front-office and back-office platforms. Automated systems eliminating 2,000+ hours monthly of manual work across client base.

    2,000+ hrs/mo Automated
    40%+ Efficiency Gains
    Cross-Departmental

    These results were delivered through platform architecture, system integration, and automation. Today, AI accelerates every one of these outcomes, making systems smarter, faster, and more connected.

    CTO, VP of Engineering, or
    'The Person Who Finally Connected Everything'

    I've led technology initiatives as a CTO, a Chief Engineer, and sometimes as the person who stepped in because nobody else could bridge the gap between business strategy and the technology that powers it. The title matters less than the mandate: build AI-powered technology systems that drive revenue and operational efficiency.

    I understand the P&L.

    Every technology decision I make is filtered through its impact on revenue, margin, and growth. Not elegance. Not novelty. Business outcomes. Senior leaders at Fortune 500 organizations have specifically called this out as rare and valuable.

    I understand marketing and revenue.

    Most CTOs build what they're told to build. I understand WHY we're building it, because I've served in CMO, CRO, and RevOps capacities. That means the technology I architect is designed to drive revenue from day one, not just function.

    I understand the other departments.

    Technology doesn't exist in a vacuum. I've built systems for marketing, sales, HR, and operations teams. I know what each department actually needs from technology, not what they say they need in a requirements document.

    Whether your org chart says CTO or
    Technology Director, the impact is the same.

    FAQ

    What Clients Say About Working With Me

    These results were delivered through marketing technology, web systems, and automation. Today, AI accelerates every one of these outcomes, making results faster, more scalable, and more predictable.

    “New revenue has tripled in less than 12 months!”

    Mark Thomas
    Personal Injury Attorney

    “From 5 leads/day to over 50 leads/day, our revenue has gone through the roof.”

    Dr. David Bryant
    World Famous Dermatologist

    “Revenue producing and time saving. I'm really, really happy.”

    Sandra Minnes
    Global Restoration

    Ready to Turn Your Tech Stack Into a Revenue Engine?

    Let's talk about what AI-powered technology leadership looks like for your business. 30 minutes. No pitch. Just clarity on what's broken and how to fix it.