CTO as a Service makes sense when the company depends on software, data or AI, cannot yet justify a full-time CTO, and needs someone accountable for engineering every week. An in-house CTO makes sense when technology is the product, the team has grown and technical leadership needs to be present every day.
What CTO as a Service is
CTO as a Service is part-time technology leadership with accountability for the engineering team. It is someone who holds the CTO seat for a set number of hours per week, leads the internal team or the vendor, sets the engineering standards, approves the architecture and answers to the board for the deadlines, quality and cost of technology.
The format exists because many companies reach a point where they depend on software and still do not have, or cannot justify, a full-time CTO. Developers are rarely the missing piece. What is missing is someone who decides, follows up and answers for what the team ships.
At Cortex IQ, the person in that seat is Rudinei Gehm, the company's founder. He has worked in IT since 2009 and went through infrastructure, backend and integrations development, project management and leading large teams on global projects before founding Cortex IQ in 2025.
What does the CTO as a Service actually own?
The key word is accountability. In Cortex IQ's CTO as a Service, four things get an owner:
- The engineering team. Job profiles, technical interviews, onboarding and team design. Engineering practices such as code review, CI/CD, observability and SLOs.
- The vendors. Software house, agency and any third party writing code. Technical review of contracts and SOWs before signing, and review of the delivery afterwards. The vendor stops estimating, delivering and grading its own work.
- Technology cost. Cloud spend control on AWS, Google Cloud and Azure, with a report of the biggest waste points. Build-or-buy decisions recorded as ADRs.
- Representing technology. Board meetings, investors and technical due diligence get someone who presents architecture, risks and the plan.
The work follows a fixed structure: a 30-day diagnosis, a 90-day roadmap and one weekly session with the team, the vendor or the leadership, plus an asynchronous channel between sessions for architecture questions, vendor proposals, critical PRs or incidents. The structure does not change. The hours per week are agreed at the start, based on the size of the team and of the problem.
It also matters to say what is not included. The CTO as a Service does not write the product's code in place of the team. It decides, reviews and follows up. If the company needs development capacity, that is a different contract.
When does a company need a full-time CTO?
A few signs show that part-time is no longer enough:
- Technology is the product and changes every week. If the product roadmap and the technical roadmap are the same thing and every architecture decision affects this month's revenue, technical leadership needs to be in the room every day, not in a weekly session.
- The engineering team has grown to the point of needing daily management. A part-time CTO can lead a small team or a vendor. With several squads, tech leads to develop and constant priority conflicts, the seat calls for full-time presence.
- The company is about to raise a large round or enter M&A. Investors want to know who will lead engineering for the next few years, and that person needs to be fully dedicated.
- The engineering culture has to be built from scratch. Setting standards is possible part-time. Forming a culture, hiring dozens of people and sustaining the pace is full-time work.
CTO as a Service is not meant to fill that seat forever. Cortex IQ's offer says so explicitly: the idea is to reach the full-time CTO with the house in order and to take part in the hiring. The hiring decision comes later, with data: a written roadmap, recorded ADRs, a known cloud cost and a job profile that describes what the company actually needs.
In-house CTO, CTO as a Service or Advisor as a Service: what is the difference?
The three options solve different problems. The table below compares them on what usually weighs on the decision.
| Criterion | In-house CTO | CTO as a Service | Advisor as a Service |
|---|---|---|---|
| Cost shape | Fixed salary, payroll charges and often equity, full-time | Weekly hours agreed at the start, reviewed every 90 days | Weekly hours dedicated to the business, ongoing |
| Cadence | Daily presence | Weekly session, async channel, 30-day diagnosis | Weekly session, ongoing |
| Who answers for engineering | The in-house CTO | The CTO as a Service, to the board | The founder; the advisor guides |
| Who executes | Internal team, under the CTO | Internal team or vendor, led by the CTO as a Service | The founder and their team |
| First deliverables | Depends on each CTO's plan | Written technical assessment in 30 days and a 90-day roadmap | Initial diagnosis and recommendations for the following week |
| Stage where it fits best | Technology is the product, large team, round or M&A ahead | Scale-up without a CTO, outsourced development, non-technical founder, mid-sized company starting with AI | Founder, early-stage startup, small team deciding on model and MVP |
The distinction between the two Cortex IQ offers fits in one sentence: if the question is "what should I do?", the Advisor solves it. If the question is "who takes care of this every week and answers if it goes wrong?", the answer is CTO as a Service. The Advisor guides decisions. The CTO as a Service answers for engineering.
If your company already has strong technical leadership and the problem is elsewhere, neither is the answer. In that case, Governance as a Service is the better fit.
How do the first 30 days work?
The first 30 days are a diagnosis, and they can be contracted on their own, with no commitment to the ongoing engagement. The work covers five fronts:
- Code. Reading what exists, with attention to technical debt, tests and whatever is blocking delivery.
- Architecture. What was decided, why, and what will break when usage grows.
- Vendor contracts. Scope, estimates and SLAs of the software house or agency, read by someone on your side of the table.
- Cloud bill. Which service explains each line of the invoice and where the waste is.
- Team. Who does what, where people are missing and where process is missing.
The diagnosis ends with a written technical assessment and a 90-day roadmap, with technical priorities tied to business goals, an owner and a deadline for each item. From there, the weekly cadence starts: one fixed session per week to unblock what is stuck and the async channel in between. The roadmap is reviewed at the end of each 90-day cycle.
That 90-day cycle follows the same logic we use to measure any technology initiative. In how to measure the ROI of an AI agent in 90 days, the principle is the same: define the metric before starting and compare at the end of the cycle. With a CTO, the metrics are deadlines, quality and cost, and those are what the CTO answers for in the board meeting.
It is also worth remembering where the problems found by the diagnosis come from. In startups don't fail for lack of ideas, we show that most startups shut down because of decisions made too early, without validation. A stack chosen by preference, a vendor without a counterweight and a cloud bill without an owner are technical versions of the same problem.
Next step
If your company depends on software and nobody answers for technology today, the 30-day diagnosis is the starting point: it ends with a written assessment and a roadmap, and you decide what comes next. The details of the format are on the CTO as a Service page.