Michael Pocress

This includes identifying high-value use cases, designing agentic workflows, selecting the right models and infrastructure, and building roadmaps for deployment and scale. Whether you're exploring copilots or autonomous agents, I translate emerging capabilities into practical business outcomes.

This includes everything from data pipelines and model development to evaluation, deployment, and iteration. I specialise in navigating the messy middle — turning ambiguous ideas into reliable, user-facing AI solutions.

This includes exploratory data analysis, predictive modeling, experimentation, and building dashboards or decision systems. The emphasis is on actionable insights — not just models — so teams can make smarter, faster decisions.

This includes pressure-testing your value proposition, sharpening positioning and messaging, and designing a go-to-market motion that fits your stage. From early customer discovery and pricing to building repeatable sales and growth channels, I help founders translate a strong product into traction — and avoid the costly missteps that stall early-stage companies.