What I bring
- Turns ambiguous AI interest into scoped implementation plans
- Maps real operating workflows before recommending tools
- Builds executive visibility into aged, changed, expired, blocked, and approval-sensitive work
- Works across business stakeholders, technical teams, vendors, and operators
- Comfortable with Salesforce Agentforce, n8n, CRM workflows, APIs, spreadsheets, and AI model integrations
Resume
Resume available on request. The clearest public overview is my LinkedIn profile plus the project work on this site.
Best fit
- AI Implementation Lead
- AI Solutions Architect
- AI Operations Lead
- Business Systems AI Lead
- Agentforce / CRM AI Implementation Lead
Not the right seat
- Pure software engineering roles
- Apex-only or full-stack coding seats
- ML research or model training roles
- Roles where AI strategy is disconnected from implementation
Systems I built and run myself
Internal agent operations infrastructure running my own consulting, content, research, and governance workflows. I scoped, shipped, and maintain all of it solo.
A production OpenClaw operations layer for research, drafting, monitoring, proof capture, and decision routing. It keeps work moving while every external action stays human-approved.
- Research, drafting, monitoring, proof capture · every external action human-approved
- OpenClaw
- Autonomous Agents
- Production Infrastructure
- Multi-Agent Systems
Hiring for AI implementation leadership?
Send the role, team mandate, and the operating problem the hire must own. I will reply with whether the scope fits.