From AI pilots to how your teams actually build.
Four ways I work with enterprise teams: deploy AI into delivery, build the agentic systems behind it, enable the people who run it, and transfer the capability so it stays. Most engagements combine several.
Enterprise AI deployment
Take AI from isolated pilots to production ways of working, with the architecture, guardrails, and delivery practices that make it stick.
Learn more →Multi-agent & MCP systems
Design and build agentic systems and Model Context Protocol integrations that connect AI to your real tools and data, safely.
Learn more →Enablement & training
Hands-on workshops and training that turn AI from a curiosity into a skill your teams use every day. 700+ practitioners trained.
Learn more →Knowledge transfer & advisory
Embedded advisory and co-delivery that builds the capability inside your team, so it compounds long after the engagement.
Learn more →How engagements work
What does an AI delivery engagement involve?
It starts where your delivery actually happens: the repos, review process, and ticket flow. We design an architecture that fits, add guardrails and evaluation, and embed the practices that keep AI adopted. The goal is a team that ships faster after the engagement ends, not just during it.
Do you only train, or do you build too?
Both. I build multi-agent systems and MCP integrations wired into your real tools, and I run the enablement that turns those capabilities into daily practice. Most engagements combine deployment, building, enablement, and knowledge transfer.
Let's connect.
Always happy to talk AI delivery, swap notes on what's worked, and hear what you're building.
Get in touch