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Corporate Chatbots & Operational AI Agents
A corporate chatbot that does the work, not just "replies": an operational AI agent with access to your systems, document processing, voice and handoff to humans.
A corporate chatbot is a common entry point into automation: “let’s add a bot and it’ll offload support”. But a classic stateless bot answers by script and doesn’t do the work — it hits the edge of its script on the second non-standard case. We don’t build “a bot with an FAQ” but an operational AI agent: with access to your systems, action execution, result checking and handoff to a human where the cost of error is high.
A chatbot or an operational AI agent?
A bot replies — an agent does. If the task is to deflect routine questions, a bot is enough. If you need to handle a request end to end — understand it, pull data from CRM, perform an action, record the result — that’s already an AI system with the bot as one of its interfaces. We start from the process, not from the “chat window” format.
What we automate
Triage and routing of requests, answers grounded in the corporate knowledge base (RAG), filing requests and actions in systems, tracking statuses and deadlines, escalating hard cases to humans. The bot here is a channel; the work happens in the governed process behind it.
Voice and text bots
Text and voice are the same agent with a different input channel. A voice bot adds speech recognition and synthesis on top of the same logic; quality rests not on “the voice” but on the governed process behind it, with data access and human control.
Document processing
Extracting fields from invoices, contracts and forms, classification and reconciliation is a frequent corporate-agent skill. It’s not a separate product but a process step: the document is parsed, the data is checked against rules, contested cases go to a human.
Why this, not an off-the-shelf bot
A boxed product covers a generic scenario but doesn’t know your processes, data and rules. We build the agent around your process: with integrations, access control and handoff points to humans — it works in production, not just in a demo. More: AI adoption for companies and engineering cases.