Multi-Agent AI Systems That Mirror Organisational Structure
Production-ready AI architectures for companies, freelancers, entrepreneurs, and industry-specific applications
Each system demonstrates the Vertical AI Orchestration methodology adapted for different organisational contexts and use cases.
Complete AI business operating system covering Finance, Operations, Technology, Product, Sales, Customer Success, and People & Culture departments.
AI chief of staff for entrepreneurs covering all essential business functions from strategy to execution with adaptive workflow modes.
Freelancer success system designed to reach $1,000+ monthly income through strategic client acquisition, proposal optimisation, and intelligent decision support.
AI-powered CV matching and role performance optimisation system with intelligent candidate assessment and profession-specific customisation.
AI marketing system for dental practices covering patient targeting to campaign creation with industry-specific insights and guided workflows.
Creator monetisation system guiding from content idea to revenue with strategic content optimisation and audience growth strategies.
Vertical AI Orchestration is a proprietary methodology for designing multi-agent AI systems that align with real organisational structures. This approach creates AI solutions tailored to specific business contexts, from enterprise departments to individual creators.
Systems designed to match your organisational structure and workflows for seamless integration.
AI that understands your specific business context, industry, and requirements.
Built-in validation and quality gates ensure reliable, production-ready outputs.
From solo entrepreneurs to enterprise departments, systems adapt to your scale.
Domain-specific knowledge integrated into each system for relevant results.
Fully tested systems ready for immediate deployment in real business environments.
Vertical AI Orchestration and all systems showcased in this portfolio are proprietary methodologies and implementations developed by Dr. Vivian Nzegbulem. All content, including architectural principles, agent specifications, and implementation approaches, is protected by copyright.
© 2025 Dr. Vivian Nzegbulem. All rights reserved.