CenturionAI

The Company

CenturionAI is my AI automation agency — the commercial entity through which I design, build, and deploy agentic AI systems for clients.

The focus is deliberately narrow: production-grade AI systems that automate complex, multi-step business processes. Not chatbots. Not wrappers. Systems with RAG layers, multi-agent coordination, structured outputs, and observable telemetry.

The Market Opportunity

Africa has a specific AI opportunity that most global agencies miss. The continent's businesses often have:

• High-volume, document-intensive processes (insurance, legal, financial services) where AI automation ROI is immediate
• Skilled but expensive human operators performing tasks that are highly automatable
• Limited access to the enterprise AI platforms (Salesforce Einstein, Microsoft Copilot) that dominate elsewhere — creating a gap that custom-built systems fill perfectly

Most "AI agencies" selling to African businesses are delivering prompt-wrapped GPT APIs. CenturionAI delivers architectured systems.

The Proposal Generator

One of CenturionAI's most distinctive features is the live proposal generator embedded in the portfolio itself. A prospect describes their business problem; four specialised CrewAI agents collaborate to:

1. Analyse the problem and identify applicable AI patterns
2. Research relevant case studies and solutions
3. Architect a technical approach
4. Write a structured BRIDGE-framework proposal

The entire process completes in under 90 seconds and delivers a formatted PDF to the prospect's email. The LangSmith trace is available as a technical proof of multi-agent execution.

This is the pitch: the thing that convinces a business to hire CenturionAI is itself built by CenturionAI's methods.

Tech Stack

The agency deploys on a standard stack:

• LLMs: Anthropic Claude Sonnet (primary), Haiku (fast, cheap tasks)
• Orchestration: CrewAI for multi-agent workflows
• RAG: LangChain + ChromaDB for all retrieval
• Observability: LangSmith for tracing and cost tracking
• Infrastructure: Railway (Python backends), Vercel (Next.js frontends)
• Languages: Python (AI/API), TypeScript (frontend)

Services

• Custom multi-agent AI systems
• RAG pipeline design and implementation
• AI automation consulting and scoping
• Portfolio AI (alter ego + proposal generator)
• AI integration into existing business systems

Working With Me

The engagement model is simple: discovery call → scoped proposal → build → deploy → handover with documentation. Most projects are 4–8 weeks. I work with a small number of clients at a time to maintain quality.