AI automation company

A working system that removes a specific repeating task from a specific team, plus the controls around it. Apoliums delivers the workflow itself, the integrations into your CRM, mail and accounting systems, the approval screens a person uses, and the log that shows what ran and why.

The deliverable is measured against the task it replaced — how many cases it handled without a person, how many it escalated, and what it cost per run. A demo that works on a prepared example is not the deliverable.

A normal automation follows a fixed path: if this field changes, do that. An AI agent decides the path — it reads unstructured input, chooses which tools to call and in what order, and can handle cases nobody wrote a rule for. Apoliums builds both, and uses the agent only where the variation genuinely needs one.

Rules are cheaper, faster and easier to debug. Where a task is already deterministic we build it deterministically and put the model only on the parts that need reading or judgement.

High-volume, low-variation work with a clear right answer — triage, data entry between systems, reconciliation, recurring reports, first-draft replies. Apoliums looks for a task that happens daily, takes a person under fifteen minutes each time, and has examples of it done correctly.

Tasks that are rare, high-stakes and hard to reverse are the worst starting point, whatever their cost. They are automated later, with an approval step, once the team trusts the system on ordinary work.

It is caught by a control that exists before launch. Actions with consequences sit behind human approval, outputs are validated against a schema before they are written anywhere, and every run keeps the inputs and the reasoning so a wrong result can be replayed and corrected.

Writes are idempotent and reversible where the target system allows it, so a re-run does not duplicate a record and an incorrect action can be undone without a manual clean-up across three systems.

In almost all cases, yes. Apoliums connects through documented APIs where they exist, and where a system has none — an older ERP, a portal, a desktop tool — we drive it through a scoped service account or an export path instead. The audit for this happens during scoping, before anything is quoted.

Systems without an API are called out early as the slower part of the integration, because that is where estimates go wrong when it is discovered mid-build.

A first workflow from Apoliums typically reaches shadow running in three to six weeks and live with approvals shortly after. Additional workflows on the same integrations are faster, because the connections, credentials and logging are already built.

The schedule is driven by access more than by engineering. Getting credentials, sandbox accounts and sample data from the systems involved is the step that most often decides the date.