AI agents
Agents that use your tools and data to finish tasks: answer a client, check availability, book, look up an order, open a ticket. Actions that matter wait for a person's approval.
- Tool use
- Human in the loop
- Multi-agent
AI agents and automated workflows that do real work.
We build AI agents, automated AI workflows and LLM integrations that answer your clients, read your documents and move work through your systems, with the engineering discipline of more than 20 years of software development.
What we build with AI
Language models are good at reading, writing and deciding. We turn that into systems you can trust with real tasks: connected to your tools, limited to what they should do, and measured.
Automated AI workflows
Pipelines that run on events or on a schedule: read incoming documents and e-mails, classify, extract the fields, decide the next step and hand exceptions to your team.
- Document AI
- Extraction
- Orchestration
LLM integration
AI added to the products and back offices you already have: answers grounded in your own documents, drafting, summaries and structured data out of free text.
- RAG
- APIs
- Structured output
Assistants on WhatsApp and Telegram
Client-facing assistants that reply in seconds, in the client's language, book and change appointments, and pass the conversation to a person when they should.
- WhatsApp Business
- Telegram
- Voice to text
Built on solid ground
An agent is only as reliable as what surrounds it. We also build the web and mobile apps, APIs, cloud infrastructure, evaluation sets, guardrails and cost limits that AI systems need in production, and we know fintech and trading, where mistakes are expensive.
An AI agent in production
Zilio is our own product: online booking for salons and restaurants, with an AI receptionist that talks to clients.
- Books, moves and cancels appointments in conversation on WhatsApp and Telegram, using the business's live calendar.
- Sets businesses up from photos: it reads a price list or opening hours and fills in services and schedules.
- Guarded: off-topic and unsafe requests are refused, replies can be reported, and costs are capped per business.
Zilio
Web, iOS and Android from one codebase, an AI receptionist and an AI setup assistant, payments, invoicing and reminders. Built and run end to end by our team.
Visit zilio.roHow an AI project runs with us
Small steps you can measure. You talk to the people who build it.
Map one workflow
We pick a single process that repeats, write down its rules and exceptions, and collect real examples.
Pilot
A working agent or workflow on that process, tested against the real examples before anyone relies on it.
Launch with guardrails
Permissions, approvals, logs, cost limits and monitoring are in place before it meets your clients.
Measure and extend
We track accuracy, time saved and cost, improve what fails, and move to the next workflow when it pays off.
20 years of software, applied to AI
We have shipped software through every shift of the last two decades: server-rendered sites, mobile apps, the move to the cloud, and now language models. What makes AI systems work in practice is the same as before: clear requirements, tests, security and someone who answers when something breaks.
- Models
- Claude (Anthropic), open and commercial LLMs
- Agents
- Tool use, MCP, multi-step orchestration
- Data
- RAG, embeddings, PostgreSQL, document parsing
- Channels
- WhatsApp Business API, Telegram, web, mobile
- Engineering
- Python, TypeScript, FastAPI, React Native
- Cloud
- Google Cloud, AWS, Docker, Cloudflare
Questions we are often asked
What is an AI agent, and does my business need one?
An AI agent is software that uses a language model to decide which steps to take and then takes them with your tools: it reads a message, checks a calendar, books, replies. You need one when a task repeats often, follows rules you can explain, and today ties up people answering, copying or checking.
What is the difference between an AI agent and an automated AI workflow?
A workflow follows steps you define, with AI doing the hard parts such as reading or classifying. An agent chooses its own steps toward a goal. Most reliable systems combine them: fixed workflows where the process is known, agents only where judgment is needed.
Which AI models do you work with?
We choose per task: Claude by Anthropic for most agent and document work, and other commercial or open models where cost, latency or data location call for them. The system is built so the model can be changed later.
How do you keep our data safe?
Agents get only the permissions their task needs, actions with consequences wait for a person's approval, every step is logged, and data goes only to providers that do not train on it. Personal data is handled under the GDPR.
How do we start?
With one call about the process you want to automate. We then build a small pilot on that single workflow, measure it on real cases, and extend it only when the numbers are good.
Tell us which work you want an AI to take on
A short call is usually enough to know whether an agent or a workflow will pay off for that process. We work in English and Romanian.
+40 732 978 048Call us directly.
contact@webcanyon.roDescribe the process in a few lines.