Chat agents for bookings and support, workflow automation, CRM integrations and reporting. We build them into the systems your team already uses, and stay on after launch.
Each agent covers one process, from the first message to the record in your system.
A chat agent in WhatsApp or Telegram that books and reschedules appointments, answers questions about prices and preparation, and sends reminders, so the front desk stops living on the phone.
Books patients around the clock, synced with the clinic schedule
Salons, fitness studios, auto services, rentals: the agent handles enquiries in messengers, offers open slots, takes prepayments and follows up with clients who went quiet.
Answers enquiries at 11pm and on weekends
The agent replies to every new lead in seconds, asks the qualifying questions, scores the request and creates a deal in your CRM with the answers already in it.
First reply in seconds, deal card already filled in
Trained on your docs, site and past tickets. When it doesn't have an answer, the ticket goes to your team with the conversation attached.
The team only sees what the agent couldn't answer
Invoices, applications, reports, data moved between systems by hand. We automate those chains, with validation checks and a notification when a step fails.
The chain runs without anyone copying data by hand
An assistant that knows your regulations, product docs and processes. New hires look things up themselves instead of asking in the team chat.
Answers pulled from your own documents
We have already built AI into live products, including a ChatGPT-based health app for a client in Dubai.
The reviews are from our Upwork profile, where every contract has closed at 100% job success. The engineer who wrote those integrations is the one who builds your agent.
All reviews on UpworkI had a fantastic experience working with Vladlen on my React Native mobile app. He was professional and highly skilled, and he delivered the work on time and with quality. Communication was seamless throughout the project, and he did his best to meet my requirements. Recommended!!!
Vladlen did an excellent job creating a React Native mobile app for us, performed detailed testing and wrote a report with suggested improvements. His code was well written and his communication skills were excellent.
The agent creates deals in your CRM, reads the calendar, issues invoices and posts updates in the tools your team already opens.
If your system has no API, we write the connector.
Every project ships with metrics and a way for your team to take a conversation over mid-dialogue.
Conversations, bookings, conversion and response time in one view.
Daily or weekly summaries to Telegram or email: volumes, what the agent handled and which cases went to your team.
When a case is outside what the agent is allowed to decide, your team gets it with the full thread and the customer's history.
We read through the dialogues, fix what the agent got wrong and update its knowledge when your prices, services or rules change.
We look at how it works now: where requests come from and which systems they touch. Then we agree what you'd measure to call it working.
A working agent on your real scenarios. You test it in your own messenger before we wire up the full integration.
CRM, calendars, payments, notifications. We launch to production with monitoring, and a fallback to a human when an integration fails.
We watch the metrics, add scenarios and update the agent when your processes change.
Depends on scope: a booking chat agent and a multi-system automation pipeline are different projects. After a short discovery call we give a fixed quote for the prototype. The estimate is free.
A working prototype usually takes 1–2 weeks. Full integration with your CRM and channels takes 2–6 weeks depending on the systems involved.
It answers only from a knowledge base you've checked. Prices and deadlines have hard limits, and anything it isn't sure about goes to a person. Every answer is logged with the sources it used.
Your data stays in your infrastructure or on a dedicated instance, and public models are not trained on it. We always sign an NDA, and access is granted per task and revoked when the work is done.
We do: monitoring, a weekly pass through the dialogues and scenario updates. If you'd rather run it yourself, we hand the stack over to your team with documentation.
Tell us which part of the work eats the most time. We'll say where an agent would pay off first and what it would take to build.
Discuss your project