Understand the goal.
Work from the result the user wants, not a fixed sequence of clicks.

ALTECH builds product-native AI agents that understand a user's goal, plan the work, and operate your software using the capabilities your team already owns.
The chat is only the interface. The agent reads the situation, plans toward the user's goal, and works across the product through capabilities built from your real code, data, permissions, and business rules.
Work from the result the user wants, not a fixed sequence of clicks.
Find and combine the right capabilities as the task develops.
Act, observe, ask for approval when needed, and hand back a result.
The depth of your product, available through one agent experience.
A customer asks the agent to prepare a new workspace for launch: bring across the existing rules, connect the right data, set the team's access, and surface anything that still needs approval.

The agent is not another feature.It is a new way to use the product.

We start with the capability surface that will make the first release useful, build it inside the existing codebase, and expand from there.
Code, product model, users, permissions, and the work they already do.
Give the agent precise ways to understand, inspect, and act across the software.
Release a useful first scope, measure it, and add capability without rebuilding the system.

I'm Aleksandar Mijatović. I've been building conversational AI since 2018. The labels changed. The hard parts didn't: context, state, integrations, and reliability.
ALTECH is small on purpose. You won't meet a salesperson and get handed to a junior. I take the first call, open the repository, write the change, and stay through the release.
LinkedIn ↗A product link and one sentence about what users should be able to accomplish is enough to start.
HELLO@ALTECHAGENTS.COM↗