Chatbots answer questions. Agents get work done. An AI agent can read an incoming email, look up the customer in your CRM, check an order in your ERP, draft a reply and open a ticket, then wait for a person to approve before anything is sent.
We design agents around your actual process, connect them to your systems through secure APIs, and keep a human in the loop for every action that matters. The result is fewer copy-paste hours and faster turnaround, without handing control to a black box.
What can an AI agent automate?
Good candidates are processes that are repetitive, rules-heavy and currently need someone to read unstructured input: emails, PDFs, chat messages, forms. The agent handles the reading and the routine decisions; people handle exceptions and approvals.
- Ticket and email triage with drafted replies
- Lead qualification and CRM enrichment
- Candidate screening and interview scheduling
- Order, invoice and payment reconciliation
- Report generation from multiple data sources
- Back-office data entry across legacy systems
How do you keep agents safe and predictable?
Agents only get the tools and permissions their job requires, with read and write access separated. Risky actions require approval. Every run is logged with inputs, reasoning summary and outputs, and we test agents against recorded real-world cases before and after every change, the same way we test conventional software.
Agents inside existing .NET and Node systems
We build agents as part of your codebase, typically background services or serverless functions using Semantic Kernel in .NET or the equivalent in Node, rather than a separate no-code platform you have to license and secure. When a no-code tool such as n8n or Power Automate is the better fit, we will recommend it.