A Fractional CTO is a veteran technology executive who provides senior-level leadership on a part-time or retainer basis. Unlike a full-time hire, you only pay for the high-level strategy and oversight you need.

This model allows startups and SMBs to access 15+ years of cross-industry experience in AI, architecture, and team scaling without the $300k+ annual salary and equity requirements of a full-time C-level executive.

While a consultant often focuses on a single project or specific advice, a Fractional CTO acts as a deeply integrated member of your leadership team. I don’t just deliver a report; I take ownership of your technology roadmap, manage your vendors, and mentor your engineering team. I focus on "operator" results—implementing systems like RAG architectures and automated workflows that your team can run long after my engagement ends.

The "sweet spot" is typically a company with 20 to 250 employees or a post-seed to Series A startup. You should consider this model if your founder or COO is currently acting as the "default CTO" and is overwhelmed, if you are facing pressure to implement AI features but lack a clear roadmap, or if you need to scale your engineering team without the budget for a full-time executive.

Companies typically see 40-60% cost savings with a Fractional CTO. While a full-time CTO in North America often costs $250k–$400k plus benefits and equity, fractional services—like my "Engaged" tier—start at a fraction of that cost. This gives you the same level of strategic guidance and hands-on delivery with significantly lower financial risk.

The Functional Technology® Framework is my proprietary method for aligning your tech stack with your business outcomes. Instead of building features for the sake of "innovation," we focus on high-impact areas like customer acquisition, operational margin, and risk reduction.

Within the first 30 days of an "Engaged" partnership, I deliver a Systems Map that identifies your immediate technical punch list and long-term scaling strategy.

Most AI projects fail because they start with the tech instead of the business problem. I use my "AI Strategy & Readiness Sprint" to map your business processes to AI capabilities.

We look for "high-intent" opportunities—like reducing support volume by 40% or automating complex data entry in regulated workflows—and prioritize them based on impact, cost, and data readiness. This ensures you aren't just "doing AI," but solving problems that improve your bottom line.

A standard chatbot (like basic ChatGPT) relies on general knowledge. RAG (Retrieval-Augmented Generation) connects an LLM to your specific, private company data—like policy documents, technical manuals, or customer history.

This results in far higher accuracy, reduces "hallucinations," and provides citations for every answer. I design and ship RAG and GraphRAG architectures that turn your internal knowledge base into a competitive advantage.

Beyond simple chat, "AI Agents" can actually execute tasks. I build agentic workflows that can navigate your CRM, summarize cases, draft replies, and even trigger API actions in tools like Zendesk or Salesforce.

For companies in insurance or professional services, this means moving from "AI as a toy" to "AI as a digital teammate" that handles repetitive, high-volume administrative work with a human-in-the-loop for final approval.

Data doesn't have to be perfect, but it must be accessible and secure. I perform a "Data Readiness Audit" to evaluate your schemas, pipelines, and data quality. We focus on building "Data Foundations" first—cleaning and structuring the specific datasets needed for your priority AI use cases.

This prevents the "garbage in, garbage out" cycle and ensures your AI models are working with high-fidelity information.

Buying is faster; building is more defensible. I provide "Build vs. Buy Advisory" by evaluating total cost of ownership (TCO), integration complexity, and long-term flexibility. If a vendor tool solves 90% of your problem, we buy. If your value comes from proprietary data or a unique workflow, we build a custom architecture. This saves you from "vendor lock-in" and ensures your tech stack remains an asset, not a liability.

I have deep "operator" experience in high-stakes, risk-driven industries, including renewable energy insurance. I understand that for insurance carriers and MGAs, AI isn't just about a chatbot; it’s about automating underwriting workflows, processing claims data, and managing complex contracts.

I help you implement AI that respects the strict regulatory environment of the insurance world while driving down operational costs and improving loss ratios.

In healthcare, data privacy is the baseline, not an afterthought. I help HealthTech startups and clinics implement AI features that are "secure by design." This includes setting up PII (Personally Identifiable Information) masking, ensuring HIPAA-compliant data pipelines, and choosing AI models with strict data-residency guarantees.

We focus on building tools that improve patient outcomes or clinical workflows without compromising regulatory standing.

Yes. I provide "Investment Readiness" audits that look at your tech stack through the eyes of a VC or acquirer. We identify and fix technical debt, document your architecture, and ensure your IP is properly protected.

Because I’ve led engineering in both regulated sectors and consumer startups, I can help you present a technical roadmap that signals stability, scalability, and deep AI expertise to potential investors.

As your Fractional CTO, I implement a "Policy Engine" for your AI applications. This includes deploying guardrails against prompt injection (where users try to "trick" the AI) and data-exfiltration defenses to ensure your proprietary company secrets don't end up in public model training sets.

We treat AI security with the same rigor as traditional cybersecurity, ensuring your innovation doesn't create new vulnerabilities.

CleanTech and renewable energy companies deal with massive, often "messy" datasets from IoT sensors, weather patterns, and grid operations. I specialize in building the data foundations and pipelines necessary to turn that raw data into actionable AI insights.

My background in this sector allows me to design architectures that handle high-velocity data while maintaining the precision required for energy markets and compliance reporting.

I offer three primary ways to work together, designed to scale with your business needs. My Engaged tier starts at $10,000/month for high-octane technical leadership. For long-term strategic oversight, the Advisor tier starts at $3,000/month.

For leadership teams needing a quick injection of clarity, I offer a Half-Day Consultative Strategy Session starting at $7,500. Each is priced based on the value and ROI of senior-level decision-making, not just hours in a seat.

For the Engaged model, I require a 3-month minimum commitment. This "high-octane" period is necessary to implement the Functional Technology® Framework and see meaningful shifts in your delivery.

The Advisor tier requires a 6-month commitment to ensure long-term stability and growth. These windows allow us to move beyond "quick fixes" to building a sustainable, AI-ready technical foundation.

Within the first 30 days of an Engaged partnership, I deliver the Functional Technology® Systems Map. This is a comprehensive strategic document that includes an immediate technology punch list, an audit of technical blindspots, and a prioritized roadmap for the next 1–6 months.

It ensures we are moving toward business outcomes—like higher margins or reduced risk—immediately.

In the Engaged tier, I am a deeply integrated member of your team. This includes leading weekly Sprint Planning and Review calls and participating in Daily Stand-Ups. In the Advisor tier, we focus on high-level strategy with bi-weekly planning calls and unlimited email correspondence.

Regardless of the tier, I act as your trusted technical partner, not just an external consultant.

Hourly billing incentivizes slow work and rewards "busy-ness." Monthly retainers align our goals: you pay for senior-level outcomes, strategic certainty, and the 15+ years of experience I bring to your toughest decisions.

A single correct decision regarding your AI architecture or vendor selection can save or earn you millions; a retainer ensures I am always focused on that high-level value.

Scaling isn't just about hiring more developers; it’s about evolving your organizational structure. I help you move from a "flat" team where the founder makes every decision to a tiered structure with clear ownership.

I implement the Functional Technology® Framework to ensure your team's growth aligns with your business KPIs, helping you avoid the "chaos phase" that often kills startup momentum.

Yes. One of the highest risks for an SMB is a "bad hire" at the senior level. I take ownership of the hiring process: defining the role requirements, sourcing candidates, and conducting deep-dive technical interviews.

I don't just look for coding skills; I look for "business-aware" engineers who can thrive in your specific culture. I can also help evaluate and manage external development agencies to ensure they are delivering high-quality code.

Many internal leaders have the technical talent but lack executive experience. I act as a "multiplier" for your team, providing 1-on-1 coaching for your Engineering Managers or Lead Devs. I teach them how to think about product strategy, budget management, and team throughput.

My goal is to elevate your existing talent so they can eventually step into larger leadership roles.

I move teams away from "reactive" work to a predictable delivery cadence. This involves setting up or refining your Sprint Planning, Backlog Grooming, and Review cycles.

By introducing modern technical project management tools and SOPs, I ensure that the leadership team has full visibility into what is being built, when it will ship, and exactly how much it costs.

As your Fractional CTO, I provide an objective, data-driven assessment of your technical staff and partners. If a vendor isn't meeting their SLAs or a developer isn't delivering, I handle the difficult conversations.

My "Hire, Train, Evaluate, and Fire" responsibility means I take the emotional and technical burden of performance management off your plate so you can focus on the business.