Automation and AI agents
Bots, AI agents, and automated flows so your team stops doing mechanical work. From n8n flows to RAG-powered conversational assistants connected to your systems.
Three families of solutions, depending on the pain
Not all "repetitive work" is solved the same way. Depending on the task, we use different stacks. These are the three families we deliver today.
Automated flows between systems
Cron-based data pipelines, daily syncs between ERP, CRM, and spreadsheets, reports that land in the right inbox at the right time. Integration between systems that don't talk. Webhooks, ETL, email or WhatsApp alerts.
Stack: n8n (visual workflows), Python (complex logic), GitHub Actions (scheduled pipelines), Cloud Functions (event-driven).
Typical example: a bot that every morning checks prices of 300+ vehicles, generates a competitiveness ranking, and emails it before 7 AM. From 3 daily manual hours to zero.
AI agents with your own data
RAG-powered chatbots (Retrieval-Augmented Generation) over your manuals, contracts, knowledge base, technical docs, or internal policies. The assistant answers with your data, not generic responses from a global model.
Stack: ChromaDB (vector store), sentence-transformers (embeddings), FastAPI (backend), Claude or GPT (base model), web interfaces or embeddable widget.
Typical example: internal assistant that answers employees' questions about processes, policies, and manuals. Reduces repetitive HR queries by 60%.
Conversational assistants connected to your operations
Via web or WhatsApp Business, responding to real queries, scheduling, quoting, escalating to a human when needed. Connected to your PMS, CRM, booking engine, or ERP to query and update info in real time.
Stack: WhatsApp Business API, Claude with function-calling, API integration to operating system, logging and human handoff.
Typical example: a WhatsApp bot a hotel uses to answer availability queries, quote, and book, connected directly to the PMS. Available 24/7, escalates to reception when needed.
The hidden cost of manual work
Your team loses hours on mechanical tasks: building reports, copying info between systems, answering repetitive queries. Nobody sits down to calculate how much that costs. When you do, the numbers are usually surprising.
And it's not just direct time. It's human error, dependency on a single person, vacations that stop processes, and talent wasted on tasks a machine does better.
How we approach automation
Process mapping
We sit down with whoever runs the process today and document it step by step. Data sources, transformations, destinations, exceptions.
Feasibility and ROI evaluation
Not everything should be automated. We calculate time and money saved vs development cost. If the ROI isn't clear, we tell you.
Development and implementation
We build using the family and tool that makes most sense: n8n flows for visual workflows, RAG agents with Python and ChromaDB for internal knowledge, conversational assistants for customer service.
Parallel testing and adjustments
We run the automation in parallel with the manual process to verify results match. We adjust what's needed before cutting over.
Monitoring, retraining, and maintenance
Flows stay in production with active monitoring. AI agents get retrained when the knowledge base changes. Systems detect failures before your team, and we resolve them within the agreed SLA.
Frequently asked questions
How much does it cost to automate a process?
Depends on complexity and family. An n8n flow can be ready in days. A RAG agent with a knowledge base takes 2 to 4 weeks. A conversational assistant connected to live systems takes 3 to 8 weeks. Let's talk about your case and we'll give you an estimate with the ROI.
Will a RAG AI agent answer with my exact information?
Yes. RAG means the model first queries your vectorized knowledge base and answers based on that content, not on generic global knowledge. It also cites which document it pulled the answer from. When it doesn't find information, it says so explicitly instead of making things up.
Will AI replace my team?
In our experience, rarely. What happens is that the person who used to do the manual process can now spend that time on more valuable things: analysis, high-value customer attention, new projects. Automation frees up time, it doesn't replace people.
Got processes that could be automated?
Tell us which manual processes you have and we'll see which family fits best. No commitment.