Where our CTOs have worked
Context
Why this role is becoming critical
01
Your AI projects start and stall
No AI lead sees things through: POCs pile up, nothing reaches production, and ROI stays unproven.
02
Your competitors are speeding up on AI, you're watching from the sidelines
LLM integration, workflow automation, business copilots: competitors are moving fast. You're missing an expert to shift up a gear.
03
You don't know what profile to hire or what it costs
What scope should the person cover, what seniority, how do you assess candidates, what salary should you offer... Hard to make sense of it all.
04
Your tech teams lack strategic direction on AI
Your devs and data scientists have the tools, not the business vision. You're missing someone to bridge AI strategy and execution.
The types of AI integration
The profile you need changes depending on where you bring AI into the company. We adapt to each of these three cases.
AI in the product
You want to inject AI into your product to create a new edge: an AI feature, an embedded copilot, using your data, a new use case that changes your value proposition.
Profile required: Product-oriented. Able to turn an AI use case into a shipped, measurable feature.
AI in the tech and product teams
You want to embed AI in your tech and product team processes: agent fleets, orchestration, code copilots, delivery automation, spec writing...
Profile required: Engineering, hands-on. Can architect and productionize agent systems at scale.
AI across the whole company
You want to spread AI across every department to automate tasks: support, marketing, finance, HR, operations.
Profile required: Cross-functional. Comfortable with both business and tech, able to bring non-technical teams on board.
Our offers
3 ways we can help
Every company is at a different stage. We adapt.
Short mission · 2 to 4 weeks
AI Audit
We dive into your organization and systems to map your AI maturity, identify high-ROI quick wins, and prioritize what to tackle. You walk away with an actionable roadmap.
Who it's for: For CEOs who want to frame their AI strategy before investing.
Fractional · 1 to 3 days/week
Lead AI / Fractional CAIO
A senior expert embedded part-time in your team. They drive your AI strategy, lead your data/ML teams, arbitrate technical choices, and liaise with the board.
Who it's for: For startups and scale-ups that need a senior Chief AI Officer, now.
Permanent hire
CAIO / Head of AI Recruitment
You're at the stage where the role needs to be brought in-house. We help you define the profile, source from our network of 600+ experts, qualify candidates, and support you through onboarding.
Who it's for: For companies ready to hire their Chief AI Officer or Head of AI internally.
The role in detail
The Chief AI Officer's responsibilities
Define the company's AI strategy and roadmap
Identify and prioritize high-ROI use cases
Choose the models, tools, and technology partners
Lead the data, ML, and AI teams
Integrate AI into existing products and processes
Manage AI risks: bias, GDPR compliance, security
Create synergies between AI, product, tech, and business
Source and recruit data science / AI engineering profiles
Raise awareness and train leadership teams on AI
Track market developments (LLMs, multimodal, agents…)
Define success KPIs for AI initiatives
Represent AI at the board level and with investors
Get in touch
Let's talk about your needs
Audit, fractional, or hiring: tell us where you're at, and we'll suggest the right approach within 24h.
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