Enterprise AI Transformation
AI strategy and implementation across the organization.
I work with organizations on their AI rollout. That includes both the strategy and the systems that come out of it. I shape the program with leadership, and I build the agents, skills, MCP servers, and workflows together with the teams that will use them.
Multiple Teams Enabled
Engineering, QA, Automation
End-to-End Workflows
From spec to code
Custom Agents
Running In Production
Org-Wide Knowledge Bases
Code, Docs, Video, Designs
What I Do
There are two parts to it. The strategy: what AI to invest in across the organization, in what order, and what guardrails to put around it. And the build: sitting with individual teams to ship the agents, skills, MCP servers, and workflows that take real work off their plates.
The result is working systems running inside your existing tools, owned by the people who use them.
What I Deliver
Strategy & Enablement
AI Strategy & Roadmap
Assessment of where AI fits in the organization, prioritized by hours saved and impact, with a phased rollout plan.
Team Enablement
Workshops and pairing with the teams that will use and maintain the systems. Internal champions identified and trained.
Governance & Guardrails
Evaluation patterns, review standards, and rollout playbooks for AI deployment across teams.
Custom Agents & Tooling
Custom AI Agents
Agents connected to your tools and data, running specific processes inside your environment.
Skills & MCP Servers
Skills and MCP servers built for the development environments your engineers already use.
Workflow Automation
Multi-stage agent flows that replace manual handoffs. For example: spec to code, ticket to PR, or alert to root cause.
AI-Powered Code Review
Code review agent customizable per team. Pulls work items, changesets, branches, and diffs from your version control system.
Intelligence Systems
Org-Wide Knowledge Bases
Retrieval over your code, documentation, design assets, and video, available to agents and engineers across the organization.
Autonomous Failure Analysis
Agent that triages failed automated test runs by combining logs, video, code history, and the knowledge base to identify the root cause of each failure.
Doc-to-Code Pipelines
Agents that take a specification or test design document and produce working test or implementation code.
How I Work
1. Discover
Sit with the teams. Map current processes and identify where time is spent on repetitive or context-heavy work.
2. Design
Select the targets and design the agents, workflows, and integrations to address them. Sequenced so early steps deliver visible results.
3. Build
Build with your team. Production systems wired into the tools they already use, shipped iteratively.
4. Embed
Hand off ownership, train internal champions, and document the systems so they can be extended after I leave.
Why Me
20 Years of Engineering & Architecture
Developer to architect across multiple companies. I know what production systems look like and where AI fits inside them.
Founder Experience
Founded and ran X-Trader, an autonomous algorithmic trading platform funded on Shark Tank.
Teacher & Author
Years of lectures, courses, and books. I explain AI and software topics to engineers, leaders, and beginners.
Focused on Outcomes
I work on systems that remove specific bottlenecks and automate specific processes. The measure is whether your teams keep using them after I leave.