Meet My AI Organization
Following the "AI Agents as Employees" framework, I've formalized my AI workforce into a structured organization with clear roles, accountability, and performance metrics.
This isn't theory. This is implementation.
Inspired by Richard Turrin's advocacy and the "AI Agents as Employees" framework by Sandy Carter (The Digital Economist, October 2025).
Want Your Own AI Team?
I'll show you how to build specialized agents that actually work together—without replacing your humans.
Organizational Structure
Click on departments to see workflows, or click on agents to view their profiles.
Prisca Onyebuchi
Founder & AI Architect
I Built This System in Under 3 Months. Your Timeline? 17 Days.
Every agent represents dozens of iterations. I've documented what works.
Departments Overview
Five specialized departments working together to deliver production-ready applications.
Product Engineering
7 Members
Systematic quality control through specialized code review
Marketing
3 Members
Establish thought leadership, communicate technical achievements as business value, and systematically amplify content across channels
Learning & Development
2 Members
Master eloquence and assertive communication in two languages
Executive Support
1 Member
Portfolio operations and visitor engagement
Strategic Growth
1 Member
Converting criticism to curriculum and systematic growth
Responsible AI Governance
Transparency, accountability, and human oversight at every level.
Transparency Practices
- Each agent has documented scope and limitations
- All training data sources are publicly documented
- Review process is systematic and repeatable
- Human oversight for all agent decisions
Accountability Structure
- Clear reporting chains (Agent → Department → Founder)
- Performance metrics tracked and validated
- Human-in-the-loop for all final decisions
- Regular agent review sessions for improvement
Performance Evaluation
- Accuracy: All flagged issues are human-validated
- Coverage: Domain-specific issue percentages tracked
- Impact: Code quality improvements measured
- Reliability: Consistency across 129+ reviews
Human Oversight Protocols
- Agents suggest, humans decide
- All agent output is reviewed before implementation
- Tight constraints prevent scope creep
- Escalation process for edge cases
You Don't Need More AI Tools. You Need a System.
Let me help you build an AI organization that delivers measurable results.
Not ready to book a call?