Advisory sprint
A focused assessment of one business area or AI initiative, ending in a clear, prioritized plan and an executive readout.
Services
Senior help from first conversation to production.
Strategy without engineering produces slideware. Engineering without adoption produces shelfware. I work across both, and on the leadership that decides whether either one sticks.
01
AI strategy and readiness
For leadership teams who know AI matters and need to decide where, how much and in what order. I bring the pattern recognition of more than a hundred enterprise generative AI engagements and the practical view of someone who builds these systems.
Best for: executives setting direction, boards asking hard questions, and teams with too many pilots and too little production.
What you get
- Executive briefings that separate what AI can do today from the hype
- A use-case portfolio ranked by business value, feasibility and risk
- Workflow analysis showing where agents change how the work gets done
- Build, buy or partner recommendations across AWS, Azure and model providers
- A funded, sequenced roadmap with success measures leadership can track
- Governance basics: data boundaries, human review points and responsible-use guardrails
02
Agentic AI engineering
For teams ready to move from proof of concept to production. I design and build agentic systems that break work into steps, route it to the right data and reasoning agents, and return structured, source-grounded results that people and downstream systems can rely on.
Best for: intelligent document processing, analyst and research copilots, operations workflows in regulated industries such as insurance and financial services, and products that need an AI layer.
What you get
- Agent architecture: orchestration, tool design, memory and the loop that keeps agents on task
- Model Context Protocol (MCP) servers that expose your data and tools to agents safely
- Retrieval-grounded pipelines and structured output design
- Multi-model evaluation harnesses, so model choices rest on evidence rather than opinion
- Production engineering on Amazon Bedrock (AgentCore, Strands, Data Automation) or Azure AI
- AI-assisted delivery with coding agents such as Claude Code, Kiro, Codex and GitHub Copilot, with human review built in
03
Cloud architecture and modernization
I design cloud foundations that are secure by default, cheap to run when idle, and simple enough for your team to own. I’ve spent a decade on cloud-native, serverless and Kubernetes work on both AWS and Azure.
Best for: new products, application modernization, data pipelines feeding AI, and teams who want infrastructure as code and safe, automated deployments.
What you get
- Reference architectures for serverless and event-driven systems (Lambda, Step Functions, API Gateway, DynamoDB, Fargate)
- Container and Kubernetes platforms built on secure cluster baselines
- Infrastructure as code (CloudFormation, CDK) with reviewable, repeatable environments
- CI/CD that uses short-lived credentials and stores no long-lived cloud keys
- Offline-first and edge patterns for apps that must work in the field
- Cost guardrails and budget alerts designed in from day one
04
AI adoption and leadership
The technology is the easy part. Adoption depends on whether people feel their status, certainty, autonomy, relationships and fairness are threatened or rewarded. I help leaders run that change deliberately, using the Ice Mold Leadership Model and years of building teams of 9 to 45 people with sustained leadership-effectiveness scores above 90%.
Best for: leadership teams rolling out copilots and agents, organizations whose AI pilots have stalled on adoption, and managers leading teams where agents are now teammates.
What you get
- Leadership workshops on the Ice Mold model and leading human-and-agent teams
- An adoption plan built on the SCARF model, addressing why people resist as well as how to train them
- Hands-on hackathons that take teams from AI fundamentals to a working solution in two and a half days
- Technical upskilling and certification programs (my last team reached 100% certification)
- Keynotes and executive sessions on AI, teams and the future of work
Ways to engage
Start with one engagement, then scale what works.
Build engagement
Take one high-value use case from pilot to production alongside your engineers, with architecture, code, evaluation and handoff.
Fractional AI leader
Ongoing senior guidance for your leadership team: roadmap ownership, vendor and architecture decisions, and team coaching.
Workshops and talks
Leadership workshops, hackathons and keynotes for leadership offsites, team kickoffs and conferences.
Let’s find where AI changes your business.
Start with a 30-minute conversation. Bring the workflow, the stalled pilot or the team question that keeps coming up. You’ll leave with a clear next step, whether or not we work together.