AI Agents & Automation
AI Agent and Automation Developer
Custom LLM agents, RAG pipelines and workflow automations that connect to your data and remove repetitive work.
How I can help
AI is most valuable when it is connected to your own data and processes. I design and build AI agents and automations that answer questions from your documents, qualify leads, handle support requests and take repetitive work off your team.
Every solution is built for production: grounded in your data to reduce wrong answers, integrated with your existing tools, and monitored so you can trust the results.
A great fit for
- Businesses spending hours on repetitive support or data entry
- Teams that want a chatbot trained on their own documents
- Products adding AI features for their customers
What you get
- 01
AI agents and chatbots powered by OpenAI or Anthropic models
- 02
Retrieval-augmented generation (RAG) over your documents and data
- 03
Vector database setup for fast, accurate search
- 04
Workflow automation connecting CRM, email and internal tools
- 05
Guardrails, logging and evaluation for reliable answers
- 06
Web, WhatsApp or in-app interfaces for your users
How we will work together
- 01
Discover
A focused call to understand your goals, users and constraints, followed by a written scope with clear milestones.
- 02
Design
Architecture, data model and user flows are planned up front, so the build is predictable and easy to extend.
- 03
Build
Short iterations with regular demos on a live staging environment. You see progress every week, not just at the end.
- 04
Launch & Scale
Production deployment, monitoring and a clean handover, with ongoing support available as your product grows.
Frequently asked questions
Have a different question? Ask me directly.
What can an AI agent actually do for my business?
Common examples include answering customer questions from your knowledge base, qualifying and booking leads, summarising documents, extracting data from emails or PDFs, and automating multi-step internal workflows.
Is my company data safe?
Data security is designed in from the start. Your data stays in your own infrastructure where possible, access is restricted, and API providers are configured so your data is not used for model training.
How do you make sure the AI gives correct answers?
Answers are grounded in your own data through retrieval, with guardrails, source references and test sets to measure accuracy before and after launch.
Available for new projects
Ready to start your ai agents & automation project?
Tell me what you are building. I reply within 24 hours with honest feedback and clear next steps.