AI agents and integrations
Agents that do real work inside your systems: they read your data, take actions, and stop to ask when the decision is not theirs to make.
AI where it improves a decision, not where it looks good
AI agents and integrations
The useful question is not "can we add AI?" but "which decision is made today on incomplete information?". If there is an answer, there is a project. If there is not, we will tell you before invoicing.
What it does
Agents with tools
Not a chat that replies: an agent that queries your database, generates the document, files it where it belongs and notifies whoever needs to know.
Answers from your documentation
Semantic search over your own manuals, contracts and procedures, with a citation of where each answer came from.
Connected to your systems
MCP servers that expose your internal tools to the agent in a controlled way, without opening the database to anyone.
Consumption governance
How much AI each team consumes, with which models and under what ceiling. That is precisely the problem routerPlex solves.
How we work
An agent that gets things wrong silently is worse than no agent at all. We design them to stop and ask when the decision belongs to the business, and to leave a record of what they did and why.
Let's talk about your operation
Tell us which decision your business still makes by gut feel. If we can help, we'll tell you how — and if we can't, we'll tell you that too.