AI Integration

RAG systems, agentic workflow automation, and MCP server development. I build AI capabilities that actually understand your business and integrate deeply with your existing systems.

All Services

AI Workflow Automation

Automate complex business processes with AI agents that can reason, use tools, and make decisions. I build agentic workflows that handle the repetitive knowledge work your team shouldn't be doing manually, with human-in-the-loop checkpoints where it matters.

What's Included
  • Workflow analysis and AI opportunity mapping
  • Agentic architecture design with tool use
  • API and third-party service integration
  • Human-in-the-loop approval checkpoints
  • Monitoring, observability, and error handling
  • Iterative refinement based on real-world performance
Ideal For

Operations teams with repetitive knowledge work, companies processing high volumes of documents or data, or any team wanting to multiply output without multiplying headcount.

Timeline

2–6 weeks

MCP Server Development

Transform your product, API, or database into a Model Context Protocol (MCP) server, making it natively accessible to AI assistants like Claude, ChatGPT, and other agentic tools. This is how modern software becomes AI-ready.

What's Included
  • Existing system and API analysis
  • MCP server architecture and implementation
  • Tool definitions, resource schemas, and prompt templates
  • Authentication and access control integration
  • Rate limiting and usage monitoring
  • Testing with target AI platforms and documentation
Ideal For

SaaS companies wanting AI-native integrations, teams building internal AI tooling, or any product that needs to be accessible to the growing ecosystem of AI agents.

Timeline

2–6 weeks

RAG System Development

Build retrieval-augmented generation systems that give AI access to your proprietary data. I design and implement the full pipeline from ingestion and embedding to retrieval and generation, so your AI actually knows your business, not just the internet.

What's Included
  • Data pipeline design and document ingestion
  • Vector database setup and optimization
  • Embedding strategy and chunking design
  • Retrieval algorithm tuning for accuracy
  • Conversational interface development
  • Guardrails, evaluation framework, and quality monitoring
Ideal For

Companies with proprietary knowledge bases, support teams drowning in documentation, or any business wanting AI that understands their specific domain.

Timeline

3–8 weeks

Interested in AI Integration?

Book a free 30-minute scoping call and I'll tell you what it would take.

Book a Call