AI Automation

One service covering the whole range: finding where AI genuinely helps, building it, and running it in production.

What this covers

Autonomous and human-in-the-loop agents that handle real operations such as research, outreach and support, wired into the systems you already run. Automations that qualify leads, generate content on brand, and keep data in sync between your tools without anyone copying and pasting between tabs. And adding intelligence to an existing CRM, helpdesk or internal tool rather than replacing it with something new to learn.

How it starts

Every build starts with a process audit, because most of what looks like an AI problem is a workflow problem, and the fastest way to waste a budget is to automate a process that should have been deleted instead. What survives that audit gets the right model for the job rather than the newest one, real guardrails around what it is allowed to do unsupervised, and an evaluation set so a change to the model or the prompt can be tested before it reaches production.

What you get after launch

Cost and failure monitoring, so you can tell whether it is working and what it is costing you, rather than hoping. A human-in-the-loop point wherever a mistake would be expensive, so the agent proposes and a person approves until the failure rate earns more autonomy. And documentation of what it does and why, so it does not become the one system nobody but us understands.

Being honest about the limits

Not every process should be automated with AI. Some are automated better with a plain script, and some should not be automated at all because the judgment involved is exactly the part worth paying a person for. We will tell you which is which before we build anything, not after.