Fractional CTO & Chief AI Officer
I'm the technology partner businesses bring in to solve real operating problems. I put AI to work, connect and explain your data, and build the CRMs and applications the business runs on, from strategy through shipped software.
Pete Jaworski
Fractional CTO & Chief AI Officer
With today's AI tools, anyone can spin up an app over a weekend. Writing code is no longer the hard part. What separates a developer from an AI solutions partner is a product real customers actually use, and one that generates revenue.
A builder ships
Features and code
A partner ships
Products that earn
Most teams have tried ChatGPT, Claude or Grok, and maybe dabbled with a SaaS tool or two. But there's no strategy connecting AI to the problems that actually cost the business time and money, so it stays a novelty instead of an advantage.
What most teams have today
Disconnected experiments. No owner, no roadmap, no measurable return.
Without a technical partner, the owner becomes the de facto IT department: watching tutorials, wiring up Zapier and fixing broken integrations late at night. Every hour spent there is an hour not spent on customers, sales or the team.
Where the owner's week goes
The usual fixes each come with a catch. Offshore freelancers are affordable but rarely bring a process, so the owner ends up project-managing them. A full-time hire is a big, slow commitment, and one person rarely covers strategy, data, AI and product.
Offshore freelancers
Full-time hire
I help you build an AI strategy and put it to work in ways that matter: each initiative is tied to a specific business problem, adopted by your team, and measured in revenue earned or hours saved.
AI assistants, data platforms, operations systems, SaaS takeovers and delivery leadership for real businesses. Filter by the outcome you need, then open any project for the business case, my role and the results.
14 projects
Showing 14 projects
01An integrated research and analytics application that turns scattered marketplace data into product insights, recommendations, and briefs.
02Taking over an established SaaS application and accelerating feature delivery while supporting its existing customers.
03Creating AI service offerings that help a customer support agency measure quality, assist human agents, and handle phone conversations.
04In developmentReworking a gift-buying application around a contextual, conversational AI shopping assistant.
05Helping a founder keep building quickly in Replit while adding engineering governance and a managed production release process.
06In developmentBuilding a platform that connects music creation with distribution, rights management, community, and placement opportunities.
07Centralizing financial service operations and making data workflows manageable through an application interface.
08A shared organizational AI workspace for project context, collaboration, status questions, and work assistance.
09A Sprint Performance Optimization Tool that brings delivery metrics and client progress visibility together.
10Moving a New York City delivery business from manual messages into a connected request, dispatch, and tracking system.
Improving an insurance SaaS team's delivery process through product management and AI-powered engineering.
Product management and delivery coordination for a course creation and commerce platform with CRM capabilities.
Product management and Scrum leadership for a business assistant built around specialized AI agents.
14An all-in-one cloud practice management platform for chiropractic, acupuncture, and massage therapy practices, with AI for scheduling and insurance verification.
Most growing businesses need senior technology judgment before they can justify a full-time CTO. I step in at that level, set direction, and stay hands-on until it's working.
Technology leadership without a full-time executive hire. I own the architecture, the build-vs-buy calls, the roadmap and the delivery team, so the software your business runs on gets built properly.
A practical plan for AI in your business, and someone to carry it out. I find where AI actually pays off, then put it into the workflows your team already uses.
Strategy is only useful if it ships. I design and deliver working systems with AI-assisted engineering, weekly reviews, and clear reporting on what got done and what's next.
Whatever technology the business needs to run. These are the problems I'm most often brought in to fix.
Find the processes where AI saves real hours, like intake, triage, drafting, and QA, then build it into the tools your team already uses.
Connect CRMs, accounting, ops tools and spreadsheets so information moves between systems automatically instead of by copy-paste.
Dashboards and reporting built around the decisions you actually make: margin, pipeline, capacity, delivery risk.
Ask questions in plain English and get answers grounded in your own documents, databases, and systems, with sources.
A CRM shaped around how you sell and serve customers, with your pipeline, your fields and your follow-up sequences.
Internal tools, client portals, SaaS products and mobile apps, designed and delivered end to end.
Email and SMS outreach, scheduling, approvals, and handoffs that run on their own and flag a person only when needed.
Clear recommendations on architecture, tooling, vendors, pricing and team structure, written for business owners.
The same operating model I've used to lead product teams, scaled to your business. You get visibility every week: what shipped, what's next, and what's at risk.
We map how the business runs today, where time and money leak, and which problems are worth solving first.
I turn priorities into a solution roadmap covering architecture, data flows, interface, and the success measure for each piece.
Working software in short cycles with AI-assisted engineering, plus a weekly review so you always see what's shipped.
Adoption, reporting and iteration. Systems get tuned against real usage instead of being handed off and forgotten.
From healthcare integrations to enterprise SaaS to AI, always on the line between the business problem and the technology that solves it.
2025 — Present
Rochester, NY
Assembled Systems
2023 — Present
New York
Projects We Manage (Pulse Pilot AI)
2022 — 2024
New York (Remote)
Clearview AI
2019 — 2022
Rochester, NY
Calero-MDSL
2018 — 2019
Rochester, NY
Datto, Inc.
2015 — 2018
New York
Phreesia
I started in healthcare technology, implementing and integrating patient-data systems, then spent a decade leading product at companies like Datto, Calero-MDSL and Clearview AI.
An MBA taught me to start with the business case. Psychology taught me to start with the people using the system. Today I bring both to growing companies as their fractional technology and AI leader, and I build with AI-assisted engineering so ideas become working software fast.
Turns customer and market problems into practical strategies and scalable systems.
Aligns product, engineering, design, QA, sales and executives around clear outcomes.
Creates visibility, accountability and continuous delivery without losing quality.
Connects business problems, product strategy and practical AI to deliver value.
Master of Business Administration
2015Healthcare Administration · D'Youville College
Bachelor's Degree
2012Psychology · University at Buffalo
Certified Product Manager
CertifiedProfessional certification · Product management
Let's work together
Tell me what's slowing the business down. In a 30-minute call we'll work out whether AI, better data, or a custom system is the right fix, and what it would take.