The AI-Native McKinsey
What We're Building
Foaster is building the AI-native McKinsey, starting with AI transformation. We deploy AI agents that interview a company's employees at scale, map how work actually gets done, identify bottlenecks and AI opportunities, and draft a transformation roadmap in just 2 weeks. Expert consultants review the final outputs, add judgment where it matters, and feed their corrections back into the system.
We believe current AI models already have the capabilities required to automate most of the work consultants do. But traditional consulting firms use them to improve the old model: helping consultants work faster. Foaster is instead rebuilding a new model from scratch, where agents do the work that needs scale and humans review the final outputs, bring expertise, and improve the system overtime.
We are starting with AI transformation, then progressively expanding to more and more consulting projects using the same approach. Every mission creates structured knowledge from interviews, workflow maps, recommendations, and expert corrections, so the system gets better with every client engagement. The $500B consulting market will eventually be run by our AI agents and a small number of expert humans.
The Problem
Most companies confuse AI adoption with AI transformation.
AI adoption is giving employees better tools: ChatGPT, Copilot, Claude, internal assistants. That can make individuals faster. But the company itself often stays the same: same workflows, same meetings, same approval chains, same bottlenecks.
AI transformation is different. It means redesigning how work happens around what AI now makes possible.
The problem is that this transformation is broad, fast-moving, and continuous. It touches every function, every workflow, and every role, while tools and capabilities keep evolving.
Traditional methods cannot keep up. Workshops, consulting projects, and static roadmaps are too slow, too generic, and too disconnected from day-to-day operations.
How It Works
The Solution
1. Mapping the Company
We run 30 to 45-minute AI-led interviews across the organization. Agents collect the context that usually stays trapped in people's heads: workflows, tools, handoffs, bottlenecks, dependencies, informal habits, and repetitive tasks. The result is a granular map of how the company actually works.
AI-led interviews at scale across every function
Captures workflows, handoffs, and informal habits
Produces a granular map of how work actually happens
2. Turning the Map Into a Roadmap
Agents reason over that map to identify where AI can have the highest impact: what should be automated, redesigned, augmented, or improved first. Our human experts review the findings, bring business judgment, and help leadership prioritize the roadmap based on impact, feasibility, and company goals.
Identifies highest-impact AI opportunities
Human experts review findings and add business judgment
Roadmap prioritized by impact, feasibility, and company goals
3. Keeping the Transformation Alive
Foaster keeps the map updated over time, tracks adoption, detects where teams are stuck, and generates personalized upskilling for each employee based on their role, tools, workflows, and level. Agents handle the scale, follow-up, and personalization while human experts bring judgment, expertise, change management, and implementation support when needed.
Continuous map updates and adoption tracking
Detects where teams are stuck
Personalized upskilling for every employee at individual scale
Active Founders
Founder
Raphaël Dabadie
Raphaël is the co-founder and CEO of Foaster. At 11, he grew a tennis fan community to 400,000+ people. At 18, he joined Rafael Nadal's team as an agent. He later became a TEDx speaker at 23 and built a public audience around consulting, writing essays that accumulated hundreds of thousands of views. Before Foaster, Raphaël and his co-founder Alexandre ran their own AI consultancy. They recently co-authored two of 2025's most viral LLM benchmarks, reaching 12M+ views.
Founder
Alexandre Combes
Alexandre is the co-founder and CTO of Foaster. Before Foaster, he built Répondia, where AI agents handled 60k+ customer calls for major restaurant groups in France. More recently, he and his co-founder Raphaël co-built two of 2025's most viral LLM benchmarks, reaching 12M+ views and being shared by leading figures in tech. They spent the last year running their own AI consultancy.
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