AI Automation & Integration
AI that does the work, built into how you work.
We build AI into your products and operations: chatbots that answer from your own knowledge, RAG pipelines, AI agents and automated workflows that remove repetitive work. Whether you want to automate an existing process, improve a workflow or create an entirely new AI-driven one, we design it, build it and keep it reliable.
What we do
One team of designers and engineers, from first idea to long-term support.
- 01
AI chatbots & assistants
Customer support and internal assistants that answer accurately from your documents, data and policies.
- 02
RAG pipelines & knowledge bases
Retrieval-augmented generation over your files, wikis and databases, with sources, permissions and evaluation built in.
- 03
Workflow automation
Repetitive tasks across your tools automated end to end: data entry, routing, approvals, reports and notifications.
- 04
AI agents
Multi-step agents that classify, decide, call your systems and hand off to people when needed.
- 05
AI features in your product
LLM features added to your existing web or mobile app: smart search, summaries, generation, voice and recommendations.
- 06
Workflow redesign & monitoring
We modify and improve existing automations, then monitor accuracy, cost and reliability as usage grows.
How we work
Map
We study the process or product and find where AI saves the most time.
Prototype
A working proof of concept on your real data, measured for accuracy.
Integrate
Production build connected to your tools, with guardrails and fallbacks.
Monitor & improve
Tracking quality and cost, and improving prompts, data and flows.
Tools we use
- OpenAI
- Gemini
- Claude
- LangChain
- LangGraph
- n8n
- Vector databases
- Python
- Node.js
Selected work
All case studies →
Questions, answered
Most repetitive, rules-based or text-heavy work: customer support, lead qualification, document processing, data entry, ticket routing, reporting, content generation and internal Q&A. We start by mapping your process to find where automation saves the most time.
A retrieval-augmented generation (RAG) chatbot looks up answers in your own documents and data before replying, so it gives accurate, source-backed answers about your business instead of generic ones.
Yes. We integrate AI features and automations into the products and tools you already use, through APIs, n8n or custom services, without rebuilding everything.
Yes. We audit existing workflows and automations, fix failures, reduce cost and extend them with new steps or AI capabilities.
We design for privacy from the start: access controls, data minimisation, providers that don't train on your data, and self-hosted options when needed.
Flucks is a team of designers and engineers, not a solo freelancer. Every project gets design, frontend, backend and QA covered by people who work together daily, with one point of contact, written scope and regular demos, so nothing depends on one person being available.