Founded on one observation:
most AI projects don't fail because of the model.
After years working at the intersection of enterprise software and AI, the same pattern kept appearing. Companies would invest six figures in an AI pilot, hire the best engineers, choose the right model — and then watch it fail in production. Not because the AI was wrong. Because the architecture around it was missing.
No semantic layer to ground the model in company-specific knowledge. No multi-agent architecture to handle real-world complexity. No memory system to let the AI learn and improve over time. The model was an engine sitting on a road with no infrastructure.
m2-consulting was founded to build that infrastructure. We are a boutique firm — deliberately small, deliberately senior, deliberately opinionated. We work with regulated industries where getting this right is not optional: FinTech, Banking, Insurance, Healthcare.
Our north star: AI that ships to production and stays there. Not demos. Not roadmaps. Systems.