Services

Lead over time, or deliver a specific result

Two CTO roles to lead technology and AI transformation over time. Fixed-price projects to answer a specific question, with deliverable and price set up front.

CTO roles

Ongoing technical leadership, billed on time. The CTO makes decisions, leads the team, and drives the company’s AI transformation.

Fractional CTO

The full role, 1 to 3 days a week, from a few months to more than a year. For companies with an engineering team but no leader, that don’t yet need a full-time CTO.

Fractional CTO in detail

Interim CTO

The CTO seat is empty or at risk. Monolithic Lab takes it over, steadies the team, makes the calls that can’t wait, then hires and onboards the successor.

Interim CTO in detail

AI transformation, in both roles

In the engineering team and every other team, the CTO finds the use cases, builds them with the people concerned, and runs an adoption plan developed with them.

AI transformation in detail


Fixed-price projects

A specific question, a defined deliverable, timeline and price set up front. A fixed-price project doesn’t replace technical leadership: it delivers a result, then ends. It can come before a CTO role, but never requires one.

Technology assessment

An independent assessment of architecture, code, team, security, and costs, in 2 to 8 weeks depending on scope. Before a fundraise or a sale, before hiring a CTO, after a serious incident, or for a second opinion on a team or a vendor.

Deliverable: a written report, risks ranked by severity, a prioritized action plan, a debrief with leadership.

AI exploration

Where can AI really help your company? Interviews and observation in the teams concerned, an inventory of use cases, first tests on your data.

Deliverable: use cases ranked by gain, risk, and feasibility, and an adoption plan built with the teams.

POC

Check that an idea works before investing: a prototype on your real data, tested by the people who will use it, with a success criterion set at the start.

Deliverable: a working prototype, measured results, a clear go or no-go recommendation.

MVP

A first version in production, used by real users, on a deliberately narrow scope. An internal product, a business tool, an AI feature, or a new service.

Deliverable: a product in production, the code, the documentation, and a team able to evolve it.

Fixed-price projects in detail


The rules, whatever the format

Not sure whether you need a CTO role or a fixed-price project? That’s what the first conversation is for.

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