AI agents for business
I build AI assistants that analyze documents, answer customer questions and keep an eye on your data.
What an AI agent actually does
Unlike a plain RPA robot, an AI agent understands the content of a document or question rather than just clicking predefined spots. It can read an invoice in any format, answer a customer in natural language, or summarize a long document.
It doesn't replace the expert in your company. It takes the first pass at a large volume of data - documents, messages, questions - and only passes forward what actually needs a human decision.
Field service company, 15 employees
Support staff manually read every complaint email, checked the job history and wrote a reply - 15 minutes per ticket.
An AI agent reads the ticket, checks CRM history and drafts a ready reply for a human to approve.
Result: Ticket handling time dropped to 3 minutes, and the team handled twice the volume without hiring anyone.
When an AI agent isn't worth it
- The data the agent would rely on is scattered and incomplete - the sources need cleaning up first.
- Decisions require context that can't be captured in rules or examples - a genuinely unique judgment call every time.
- The case volume is too low to justify the cost of building and maintaining the model.
What's included in the price
- Narrowing down the task where an AI agent adds the most value
- Building the agent and, if needed, feeding it your company's knowledge base
- Testing against real documents and questions, not demo examples
- A supervised rollout with easy correction of its answers
- Two weeks of post-launch support included
Ready for an AI agent at your company?
Let's find out which process would benefit most from an AI agent.