Practical AI That Ships
and Actually Works
I build AI-powered chatbots, WhatsApp automation systems, and RAG-based assistants that solve specific business problems. Not demos that impress in a presentation but break in production — real systems with error handling, fallbacks, and monitoring.
What I deliver
Being honest about AI's limits
Most developers won't tell you this. I will — because projects that start with realistic expectations succeed more often.
AI is not magic. It works best on well-defined, repetitive tasks — not open-ended creative or strategic decisions.
WhatsApp bots require approval from Meta. The process takes time, and I'll walk you through it, but it's not instant.
RAG assistants are only as good as the data you provide. Garbage in, garbage out — this applies here too.
AI responses can be wrong sometimes. Any production system needs guardrails, fallback flows, and human escalation paths.
What I can build for you
Automate customer support, lead capture, appointment booking, order tracking, and follow-ups over WhatsApp — at scale.
AI chat interfaces trained on your documents, product catalogue, or knowledge base. Answers questions from your actual data.
Extract structured data from invoices, contracts, forms, or any document — automatically, without manual data entry.
Qualify inbound leads with a conversational flow before they reach your sales team, reducing time spent on poor-fit prospects.
AI-driven follow-ups triggered by user behaviour — purchases, sign-ups, abandoned carts, or support tickets.
Internal tools that use AI to summarise, categorise, draft, or suggest — saving your team time on repetitive cognitive work.
Common questions
A regular chatbot follows a decision tree — it can only respond to things it's been explicitly programmed for. An AI chatbot understands natural language and can handle questions it hasn't seen before, using your data as context.
Yes. You'll need a verified WhatsApp Business account and access to the WhatsApp Business API via Meta. I can guide you through the setup process — it usually takes 1–2 weeks to get approved.
RAG (Retrieval-Augmented Generation) means the AI searches through your documents to find relevant information, then generates a response based on what it found — not just generic training data. It's how you get an AI that actually knows your business.
Depends on the setup. I can build systems that keep your data on your own server or use private API keys so your content isn't used to train any public models. I'll explain the options for your specific case.
Every system I build includes escalation paths — either to a human agent or with a clear 'I don't know' response. I don't deploy bots that confidently make things up.
Ready to start your project?
Tell me what you're building. I'll give you an honest assessment — timeline, cost, and what to expect. No sales pitch.
I respond within 4 hours. No commitment required.
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