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Metylabs

AI automation for the work nobody should be doing by hand.

Built into the tools you already use, with a measured baseline before and after.

Most businesses do not need a chatbot. They need the four hours a week someone spends retyping information between two systems. We find that work, automate it with language models where they are genuinely better than a script, and use a script where they are not.

What this actually covers.

How it runs, week by week.

  1. Find the real bottleneck

    We watch the actual workflow and pick the task with the highest hours-to-difficulty ratio.

  2. Automate one task fully

    One workflow, end to end, with a measured baseline, before touching a second one.

  3. Keep a human in the loop

    Every automation has a review path and an audit trail, because language models are wrong sometimes.

What you get.

Questions we get asked.

Do we need a chatbot?
Probably not. The highest return is usually in invisible automation: documents processed, information moved between systems, records classified. We look for that first.
How do you handle the model being wrong?
Every automation ships with a measured accuracy baseline, a human review path for low-confidence cases, and an audit trail. If a task cannot tolerate errors, we say so rather than shipping it.
Where does our data go?
We design around your constraints and tell you exactly which provider processes what. If data cannot leave your infrastructure, that shapes the architecture from the start.

Need ai automation?

Send us the problem and any constraints you already know about. We will come back with scope, a rough timeline, and whether we are the right fit.

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