Fractional CTO & AI consulting
Big decisions.
Fractional CTO leadership that builds.
We help founders make the hard technical decisions, guide the team, and turn AI opportunities into working systems. Ongoing fractional CTO leadership, or one defined AI project.
How to work with us
An ongoing CTO partnership, with focused AI projects when you need to build.
Both start with a call. Scope, responsibilities and availability are agreed in writing before any work begins.
Fractional CTO services
A part-time technology leader for your business. We take on architecture, AI strategy, delivery oversight, hiring input and vendor decisions, with the reasoning behind each one written down.
A monthly retainer, scoped to your cadence
Fractional CTO services →AI readiness assessment
A fixed-scope start for any AI project. We review your workflows, data, system access and risks, then give you a prioritized plan. What to build, what to fix first, and what the next steps will cost.
Then, when it’s justified, a prototype sprint, an implementation, or an agent workflow.
2-3 weeks, with a clear stopping point
The assessment →Fractional CTO
What is a fractional CTO?
A fractional CTO is a part-time technology leader who takes ongoing responsibility for technical direction, team guidance, and delivery oversight.
For a startup or growing business, that means experienced leadership before a full-time CTO hire makes sense. We stay involved in architecture, priorities, reviews, and tradeoffs, with responsibilities and availability agreed upfront.
- AI strategy
- Architecture
- Team leadership
- Delivery oversight
- Hiring input
- Vendor decisions
When to hire a fractional CTO
- 01
Too many decisions land on your desk.
Architecture, vendors, hiring, the roadmap. You get a technical partner who connects the decisions, so you are not making each one alone.
- 02
The team is busy. Progress is hard to see.
We get close to the work, find the blockers, and give your team priorities they can act on.
- 03
AI keeps moving. Your next step is unclear.
We help you separate useful opportunities from expensive distractions, then decide what to build or test.
A monthly retainer, scoped to the cadence and availability your team needs. Scope and price are agreed in writing before the first invoice.
Where to start
Three ways to start, and two ways to continue.
Most engagements begin in one of three situations. Each branch is a service with a defined boundary; the two later stages follow when an earlier one has shown they are justified.
WhenYou need senior technical judgement on an ongoing basis — what to build, what to buy, what to leave alone, and whether AI belongs anywhere near it.
WhenOne repetitive, rules-heavy process is eating hours every week, and a person still does it by hand.
WhenYou are about to commit budget to AI and want to know what you are walking into. The two later stages follow once the earlier one has shown they are justified.
AI consulting services
From the first assessment to AI in production.
Four defined projects, each with an agreed scope, timeline and handover. Pick one to see what it includes, what it produces and how long it takes.
AI Readiness Assessment
Find the AI opportunities your business can realistically act on. We review workflows, data quality, system access, ownership, and likely failure points. You get a prioritized plan that explains what to build, what needs fixing first, and what the next steps will cost.
- The outcome
- Know your next move. Find the opportunity, the blockers, and what to build first.
- Timing
- 2-3 weeks
You get
- Review your data
- Map the risks
- Get a build plan
AI Prototype Sprint
Test the question that is holding a decision up. Can AI use your data effectively? Can it support this workflow? A focused sprint produces a working prototype, an evaluation against agreed criteria, and evidence to help you decide whether to invest in a production build.
- The outcome
- Make the idea real. Answer one important question with your data and working software.
- Timing
- 3-5 weeks
You get
- Focus the question
- Build a prototype
- Make the call
Custom AI Development & Implementation
Turn a proven AI idea into working business software. We build the integrations, permissions, evaluations, and monitoring needed to move beyond a demo, agree on what success means, test against real inputs, and give your team the code and documentation to run it.
- The outcome
- Get AI into production. Take the promising idea all the way to a system your business can use.
- Timing
- Timeline set after scoping
You get
- Connect your systems
- Test real inputs
- Own the handover
AI Agent Development & Workflow Automation
Build custom AI agents that work across your existing systems. An agent can gather information, prepare an output, and move a task to the next step. For more complex workflows, specialized agents can coordinate, with approval points, exception handling, and a record of their actions.
- The outcome
- Give your team time back. Put agents to work across your tools, with people in control.
- Timing
- Typically 6-10 weeks for one workflow
You get
- Coordinate the work
- Review key decisions
- Track what happened
How we decide what to build
See what’s coming.
Know what to do next.
We’ve been talking about AI agents and multi-agent swarms for years. That perspective shapes three decisions we help you make.
- 01
Build now.
Put proven AI to work on a workflow with clear value and a result we can measure.
- 02
Test next.
Use a focused prototype to answer the important question before committing to a bigger build.
- 03
Stay adaptable.
Keep your data, business rules, and integrations ready for the tools to evolve.
The thinking behind it
The opportunity is in how specialized agents work together: sharing context, coordinating tasks, and moving a workflow toward a useful result. Deciding where that helps your business takes technical judgment and a clear understanding of the work.
You don’t need to predict every technology shift to make a good decision today. We help you understand what is ready to use, what deserves an experiment, and what should wait. We build around the business problem and leave room for the tools to evolve.
Selected work
Ten case studies, three kinds of problem.
Selected work delivered across GOT AI, Rocket Farm Studios, and Full Cortex in engineering, technical leadership, and advisory roles.
Less manual work. More momentum.
Hospital workflows, enterprise operations, and vehicle auctions: examples of connecting automation to the work a team already does.
Healthcare operations
AI Medical Assistant
A coordinated suite of AI and automation modules for hospital teams, spanning clinical reports, transcription, and document workflows.
Read the case study
Enterprise operations
Process Automation
Coordinated automations for HR, payroll, administration, networking, and finance across a 12,000-person technology group.
Read the case study
Automotive
Auction Automation
An automated vehicle auction workflow that monitors, bids, purchases, and supports resale through the existing business systems.
Read the case studyTurn information into decisions.
Forecasting demand, making business data usable, and analyzing music: different ways to apply AI and analytics to a specific question.
Energy & utilities
Grid Load Forecasting
A demand-forecasting engine combining weather, calendar, and historical load data for grid operators in India and Germany.
Read the case study
Business intelligence
Data Analytics & BI
A no-code analytics platform that helps business teams connect data, build dashboards, and understand what matters.
Read the case study
Music & media
Emotion Gauge
AI analysis of audio and lyrics to model a track’s emotional character and forecast its regional appeal.
Read the case studyBuild around the people using it.
Retail teams, students, doctors, and supply-chain partners each need a different kind of system. The workflow shapes what gets built.
Retail
AI Planogram
Existing store cameras detect empty shelves and misplaced products, then help the team move from an alert to replenishment.
Read the case study
Education
Problem2Math
An AI tutor that translates primary-school math word problems into equations, with conversational support for students.
Read the case study
Healthcare
Symptom Checker & Rx
A clinical decision-support module that drafts condition and prescription suggestions for the doctor to review.
Read the case study
Supply chain
Bio-Ledger
A shared audit trail for biofuel supply chains, connecting contracts, sales, and products in a consistent record.
Read the case studyPractical answers
Before you book.
What is a fractional CTO?
A fractional CTO is a part-time technology leader who takes ongoing responsibility for technical direction, team guidance, and delivery oversight. At GOT AI, we stay involved in architecture, priorities, reviews, and tradeoffs, with responsibilities and availability agreed upfront.
When should a startup hire a fractional CTO?
Consider fractional CTO support when architecture, hiring, vendor choices, or delivery problems need ongoing leadership, but the business is not ready for a full-time CTO. If you only need to answer one AI feasibility question, a scoped assessment or prototype may be a better starting point.
How is a fractional CTO different from a full-time CTO?
A fractional CTO provides an agreed share of leadership time and availability. A full-time CTO is dedicated to the business. The choice depends on the volume of decisions, team size, and day-to-day leadership needs. We scope the partnership around the support your business actually requires.
How much does a fractional CTO cost?
Fractional CTO work is a monthly retainer, scoped to the cadence and availability your team needs. Scope and price are agreed in writing before the first invoice. Assessments, prototype sprints, and implementation projects are scoped and priced separately, before work begins.
What does an AI readiness assessment include?
Over two to three weeks, we review your workflows, data quality, system access, ownership, and likely failure points. You get a prioritized plan that explains what to build, what needs fixing first, and what the next steps will cost, with a clear stopping point before you decide whether you need more.
What does GOT AI do?
GOT AI is a fractional CTO and AI consulting studio. We provide fractional CTO leadership, AI readiness assessments, prototype sprints, custom AI development and implementation, and AI agents and workflow automation. The work starts with a business problem and continues through the technical decisions, build, and handover.
Where should our business start with AI?
Start with a recurring problem that has a clear owner and a measurable cost in time, errors, or missed opportunities. If the data and system access are uncertain, an AI readiness assessment can identify the blockers. If the approach is uncertain, a prototype sprint can test it before a larger build.
Can AI work with our existing software and team?
Yes, when the systems provide the access the workflow needs. We review your software, APIs, permissions, and data before choosing an approach. Your team helps define correct results and review points. The engagement includes an agreed handover so the people responsible for the system understand how to operate it.
How long does an engagement take?
AI readiness assessments typically take 2 to 3 weeks. Prototype sprints take 3 to 5 weeks, and a single agent workflow typically takes 6 to 10 weeks. Production implementation depends on scope. Fractional CTO partnerships are ongoing.
Who owns the work, and where do you work with clients?
You own the agreed deliverables. For builds, that includes the code, configuration, documentation, and handover. For assessments, it includes the prioritized plan. We work with founders and teams across the United States and Europe.
Start with a conversation
Your next move.
A CTO in your corner.
Bring the decision, the team problem, or the AI idea. You don’t need a finished brief. We’ll tell you whether fractional CTO support, an assessment, or something simpler fits.
Fractional CTO services → Or write to daniel@gotai.com