AI Systems Development
I design and ship custom AI agents, RAG systems, and n8n-powered workflows that do real work inside your business — answering customers, qualifying leads, and removing manual steps from your operations.
Goal-driven agents that use tools, call your APIs, and take real actions — not just chat. Built with OpenAI, Anthropic, or open models, with guardrails and human handoff where it matters.
Retrieval-augmented generation pipelines on your docs, product catalogue, tickets, or knowledge base. Chunking, embeddings, vector store, and evaluation so answers stay grounded and citable.
Agents wired into the systems you already run — CRM, email, Slack, Sheets, Stripe, databases — using n8n so every step is visible, testable, and self-hostable.
WhatsApp, website, and inbox agents that qualify leads, answer product questions, book calls, and escalate cleanly to a human with full conversation context.
Private assistants for your team: summarise reports, draft proposals, query internal data, and automate the research work that eats hours every week.
We define what the agent must decide, which tools it can use, and how success is measured.
Prompting, tool calls, and retrieval over your data, with evaluation on real examples.
Deploy into n8n, your app, WhatsApp, or your CRM with logging and fallbacks.
Monitor real conversations, fix failure modes, and document everything so your team owns it.
Real agent and workflow builds running on n8n, wired into CRMs, inboxes, and messaging channels.
A B2B service team was sitting on thousands of cold leads with no consistent follow-up beyond a single manual email.
Result: Dormant list reactivated into a steady flow of booked calls without extra headcount.
Every new client kicked off a manual checklist across email, Drive, Slack, and the billing system.
Result: Onboarding time cut from days of coordination to a same-day automated flow.
Content was written in one place, then reformatted and posted by hand across several networks.
Result: Consistent multi-channel publishing with roughly an hour of human review per week.
Support inboxes and WhatsApp were flooded with repeat questions about orders, pricing, and policies.
Result: Majority of routine tickets resolved instantly, with humans handling only real edge cases.
