Senior technical leadership for AI products without a full-time CTO hire.
I help founders, agencies, SaaS teams, and scale-ups make architecture decisions, stabilize delivery, reduce technical debt, evaluate vendors, guide teams, and build AI systems that can scale.
You do not need more technical activity. You need senior technical direction.
Companies usually look for a Fractional CTO when technical complexity has outgrown the current leadership structure. The team is working, but decisions are slow, architecture is drifting, delivery is unpredictable, and nobody fully owns the technical consequences.
The founder is still acting as the technical decision-maker.
Product, sales, hiring, delivery, vendors, and architecture all compete for the same attention. Important technical decisions get deferred or made under pressure.
The team can build, but nobody owns architecture.
Developers execute tickets, but cross-system decisions around data, infrastructure, AI workflows, scalability, and maintainability lack a senior owner.
AI work is moving faster than the operating model.
LLM features, RAG systems, agents, automation, model vendors, data quality, and compliance concerns are entering the roadmap without a clear technical governance layer.
Delivery quality depends on individual heroics.
Projects ship because specific people push them through, not because the delivery process is reliable, documented, observable, and repeatable.
The symptoms usually show up before the organization names the problem.
Architecture decisions are made late, inconsistently, or by whoever is closest to the implementation.
AI vendors are evaluated through demos instead of technical due diligence, risk analysis, and integration fit.
Roadmaps include AI initiatives without clear data readiness, cost modeling, evaluation criteria, or operational ownership.
Technical debt is discussed constantly but never converted into a prioritized business risk and delivery plan.
Hiring decisions are reactive because the company does not know which technical capability is actually missing.
Delivery misses are treated as execution problems when the real issue is unclear scope, weak process, or unstable architecture.
Fractional CTO support for the decisions that shape technical outcomes.
Strategic AI leadership
AI roadmap ownership, production-readiness criteria, model and vendor strategy, risk framing, and leadership-level translation of technical trade-offs.
Architecture decisions
Clear decisions on system boundaries, RAG and LLM architecture, infrastructure, data flows, integration patterns, scalability, and maintainability.
Technical due diligence
Review of codebases, vendors, platforms, acquisition targets, AI products, delivery risk, infrastructure readiness, and operational exposure.
Roadmap planning
Technical roadmap sequencing that connects product goals to architecture work, team capacity, technical debt, AI feasibility, and delivery risk.
Team guidance
Technical mentoring, design reviews, decision review, documentation standards, senior engineering support, and clearer ownership across the team.
Delivery process improvement
Scope control, delivery checkpoints, async reporting, definition of done, handoff discipline, release readiness, and fewer surprises late in the cycle.
Technical debt reduction
Turning vague technical debt into ranked risks, remediation plans, architectural guardrails, and business-facing trade-offs leadership can act on.
Hiring support
Role definition, technical interview design, candidate evaluation, seniority calibration, contractor assessment, and team structure recommendations.
Product scalability decisions
Guidance on what to rebuild, what to stabilize, what to defer, and which AI or platform decisions will create scaling constraints later.
Senior CTO-level guidance shaped around the stage of the company.
The work can be advisory, embedded, or project-based. The common thread is clear ownership of technical direction, decision quality, and operational stability.
Fractional CTO Retainer
Ongoing senior technical leadership for founders and teams that need regular architecture guidance, roadmap review, delivery oversight, and AI strategy without a full-time CTO.
- ->Weekly or biweekly technical leadership sessions
- ->Async architecture and decision support
- ->Roadmap, delivery, and risk review
- ->Founder and team advisory
Architecture and Delivery Assessment
A focused review of your product architecture, AI systems, delivery process, technical debt, team structure, and operational risks.
- ->Architecture and codebase review
- ->Delivery process diagnosis
- ->Technical debt and scalability risk map
- ->Prioritized executive recommendations
Technical Due Diligence
Independent technical assessment for founders, investors, agencies, and acquisition teams evaluating AI products, vendors, platforms, or engineering organizations.
- ->Technical risk assessment
- ->Vendor or product architecture review
- ->Scalability and maintainability analysis
- ->Written diligence report
CTO Bridge and Hiring Support
Temporary technical leadership while you hire, restructure, or recover from a missing senior technical role. I help define the role, evaluate candidates, and keep decisions moving.
- ->Role definition and hiring scorecard
- ->Technical interview support
- ->Team structure recommendations
- ->Interim architecture decision support
The process starts with decision clarity, not a generic roadmap.
A Fractional CTO engagement should make the company more decisive. I focus on the technical decisions blocking growth, the risks leadership cannot see clearly, and the operating habits that determine delivery quality.
Context and constraints
We map the product, business goals, team structure, current architecture, AI initiatives, delivery process, operational pressure, and immediate leadership gaps.
Technical diagnosis
I review architecture, code, vendors, workflows, roadmap assumptions, technical debt, team bottlenecks, and the decisions currently being avoided.
Decision framework
We define which decisions matter, who owns them, what trade-offs are acceptable, and how architecture, AI work, hiring, and delivery should be governed.
Execution cadence
The engagement moves into reviews, written recommendations, roadmap checkpoints, hiring support, architecture decisions, and delivery improvement work.
Technical leadership grounded in production systems, not management theater.
My work combines 25 years of production engineering, AI systems architecture, WordPress and SaaS platform experience, technical writing, teaching, and hands-on delivery across systems that could not simply fail quietly.
Relevant work and writing
RAG support system with 40% ticket reduction
Architecture, implementation, live system integration, escalation, and feedback loops for a production AI support workflow.
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Autonomous SEO intelligence pipeline
A production automation pipeline connecting search data, LLM analysis, and WordPress publishing with minimal manual intervention.
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Why AI projects fail after the demo
A practical breakdown of the production gap: rate limits, real data, missing guardrails, permissions, cost, and operational ownership.
Read more ->Questions founders and leadership teams ask.
What does a Fractional CTO for AI companies do?
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How is this different from hiring a senior developer?
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When should a startup hire a Fractional CTO?
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Can you help evaluate AI vendors or agencies?
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Do you manage engineering teams directly?
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Can this include hands-on architecture review?
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How long does a Fractional CTO engagement last?
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If technical uncertainty is slowing the company down, bring in senior direction.
Send me the current situation: architecture drift, AI roadmap uncertainty, delivery problems, vendor decisions, hiring gaps, technical debt, or scaling pressure. I will tell you what I need to review and whether Fractional CTO support is the right fit.
Direct senior advisory. No agency handoff, no generic discovery script.