AI Agents & Process Automation

The problem

Every company has a process that runs on somebody’s memory. A request arrives by email, a person decides who should handle it, copies the details into a system, chases an approval, and follows up three days later if nothing happened. It works until that person takes a holiday, or until volume doubles. The work is not hard. It is constant, and it consumes people you hired to think.

What we build

Automation that carries a process from end to end. Predictable steps become plain automation, because rules are cheaper and more reliable than a model. The messy parts, reading a document, classifying an unclear request, drafting a reply, are handled by AI agents that plan across several steps and call your systems as tools.

We put people where judgment belongs. An agent can prepare an approval, attach the evidence, and route it, then wait for a human to confirm. Nothing irreversible happens without a checkpoint you defined.

What’s included

• A process map: every step, every handoff, and the hours each one costs today
• Multi-step agents for routing, follow-ups, document processing, and approvals
• Human-in-the-loop checkpoints in front of anything that spends money or reaches a customer
• Integration with the systems you already run: CRM, email, storage, ticketing
• A log of every run, so you can see what the automation did and why it did it
• Alerts and fallbacks when a step fails, so work never disappears quietly

Technologies

Claude and Gemini for agent reasoning, plus queues, schedulers, and integration code for everything around them. It all runs in your cloud accounts, next to the systems it automates.

FAQ

Where do you use AI, and where do you not? AI handles language and ambiguity. Deterministic rules handle the rest. Using a model for a job a rule can do is slower, costlier, and less predictable.

What if the agent gets something wrong? Every run is logged and reversible where reversal is possible, and human checkpoints sit in front of the steps that cannot be undone.

How do we start? With one process. We measure it, automate it end to end in weeks, and let the result decide what we automate next.