AI agents & LLM applications
I'll build you a conversational agent trained exclusively on your company's knowledge. It answers questions from customers and colleagues, performs actions in your systems, and hands complex cases to humans, with full context.
Who it makes sense for
- Your support or helpdesk handles dozens to hundreds of repetitive questions a day
- The answers exist, but they're scattered across documentation, wikis and e-mails
- Public AI tools are off the table due to sensitive data or regulation
What you get
- An agent over your knowledge base, every answer cites its source
- Connected to the channels you already use: web, Slack, e-mail, internal systems
- An escalation protocol: uncertainty goes to a human, the agent never guesses
- Runs in a private cloud, APIs with no data retention
How the agent reaches an answer
Every query takes the same path, and at the end there's always a source citation, not a guess.
What it looks like in production
Sample conversation (illustrative data).
Parameters
FAQ
What models do the agents run on?+
Depends on the nature of your data and budget: commercial APIs with no data retention, or open-source models in your private cloud. I justify the choice in the solution proposal.
What if the agent answers incorrectly?+
The agent answers only from your documentation and backs answers with citations. When unsure, it hands the case to a human, it never guesses. I measure and report answer quality every month.
It starts with a 30-minute technical assessment. I'll tell you whether an agent makes sense for you, and how much it saves.
Write to me, I'll reply within hours.