AI Agents & Automation
Customer support, sales and operations agents that work 24/7—connected to your own data.
I design and build production-grade AI agents: assistants that answer customers on WhatsApp and your website, qualify and follow up leads, search your documents and ERP data, and automate repetitive back-office work. They are built on RAG, LangChain/LangGraph and Dialogflow CX, and integrated with the tools you already use.
Who it's for
- Teams answering the same customer questions every day
- Sales teams losing leads because follow-up is slow
- Companies whose knowledge is scattered across documents, emails and ERP
- SMEs that want AI results without hiring an AI team
What you get
- Use-case analysis and ROI-driven prioritization
- A working AI agent connected to your data (RAG) and tools
- Channels: WhatsApp, website chat, Chatwoot or your CRM
- Human handover, guardrails and conversation analytics
- Deployment, monitoring and continuous improvement
Typical projects
Technologies
- LangChain
- LangGraph
- RAG
- Vector databases
- Dialogflow CX
- Chatwoot
- WhatsApp Business API
- Python
- GCP
Proven in practice
Related case studies from my work.
How we work
A simple, transparent process from first call to production.
- 01
Intro call
We talk about your goals, constraints and timeline. You get an honest first assessment.
- 02
Discovery & proposal
I analyse the problem, your existing systems and the options, then send a clear scope, roadmap and proposal.
- 03
Build in short iterations
Work happens in short sprints with regular demos, so you see progress early and can steer.
- 04
Launch & handover
Production rollout with monitoring, documentation and knowledge transfer to your team.
- 05
Grow
Optional ongoing support, optimization and advisory as your product and team grow.
Frequently asked questions
What does an AI agent need to work well?
Clear use cases and access to the right knowledge: documents, FAQs, product data or ERP records. I start by mapping these sources, then build retrieval (RAG) so answers are grounded in your own data instead of the model's guesses.
Will an AI agent replace my support team?
No. It handles repetitive questions and routes complex or sensitive cases to people with full context. In a previous project, this approach made ticket resolution about 80% faster.
Let's talk about your project
Book a 30-minute intro call. You'll get honest first recommendations and a clear next step.
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