Fractional CTO · Interim CTO · AI transformation

A senior CTO to lead your technology and make your move to AI work.

Monolithic Lab leads technology for small and mid-sized companies that don’t need a full-time CTO yet, or that just lost theirs, and drives their AI transformation, in the engineering team and every other team. 25+ years of experience, including MeilleursAgents, built from scratch into France’s leading online real estate valuation platform, and Prose, cofounded in 2017, whose platform he built from the consultation to the factory.

Describe your situation
1 to 3 days a week, over several months. Technical leadership and AI transformation for companies that have developers but no one to lead them, and don’t yet need a full-time CTO. The CTO seat is empty, or the person in it can no longer do the job. Technical leadership picks up right away and holds until a successor arrives, with a team already moving on AI. Technology assessment, AI exploration, POC, MVP. A specific question, with deliverable, timeline, and price set up front. Software development, architecture, and infrastructure, building and leading engineering teams, always from inside the company. MeilleursAgents, from the first server to 1.8 million visitors a month. Prose, cofounded in 2017: more than 15 million products made to order. Nicolas Mussat runs every engagement personally, from the first call to the handover. No juniors, no subcontractors.

Fractional or interim

Fractional CTO. A technology executive who holds the full CTO role — decisions, team, budget, AI transformation — only a few days a week. The need is ongoing, but it doesn’t fill a full week. What is a fractional CTO?

Interim CTO. Also called a transitional CTO. A technology executive who fills an empty seat for a set period, with a clear mandate: steady the team, make the calls that can’t wait, and prepare the successor. More hours, shorter engagement. What is an interim CTO?

For a one-off, well-defined need — an assessment, an AI exploration, a POC, an MVP — a fixed-price project is enough.

AI across the whole company

AI is changing how every team works: engineering, customer support, sales, finance, operations. Demos are easy; successful deployments are rare, and no one has a proven playbook to drop onto your company yet.

Monolithic Lab takes its cue from the forward deployed engineer, the model OpenAI and Anthropic use to deploy AI at their customers: work inside the teams, build on real data and real tools, and measure usage after go-live. The adoption plan gets built with your teams, starting from their work.

AI transformation in detail

A CTO who builds, not just manages

Pure-manager profiles are on their way out. With AI, a small team can produce far more than before, provided it’s led by someone who understands the work in detail.

A good CTO today knows the craft hands-on, drives AI agents to get work done, and can judge what they produce. That’s how Monolithic Lab works: a prototype gets tested in days, and decisions rest on results, not opinions.

Read the article: the CTO in the AI era

Why it makes sense for a small or mid-sized company

Read the full article

What the role covers

How an engagement starts

Your situation, your constraints, your timeline. If Monolithic Lab isn’t the right answer, you’ll know by the end of the call. The first weeks: architecture, code, team, organization, risks, potential uses of AI. You get a written assessment and a list of priorities. Decisions get made and owned. The team knows who makes the call, on what, and why. The engagement ends when the company no longer needs it: a CTO hired and settled in, an internal lead promoted, or a well-equipped team that runs on its own.

Articles

An engineering team with no one leading it, an empty CTO seat, or an AI project to launch? One conversation is enough to know whether Monolithic Lab is the right fit.

Describe your situation