AI-Assisted Workflows and Business Automation

AI as a layer inside operations

For most businesses, the right question is not “should we use AI?” but “where in our workflows is AI actually useful, safe, and worth the maintenance cost?” Cadmus answers that question per workflow, not per buzzword.

Document workflows

Contracts, invoices, technical documents, reports, and forms are everywhere. AI is well suited to extracting structured fields, summarising long documents, classifying content, and flagging exceptions for human review.

Research assistants and internal knowledge

Internal knowledge — policies, manuals, past projects, regulations, decisions — is usually scattered across PDFs, shared drives, and people’s heads. Cadmus builds internal assistants grounded in actual company documents, with clear citations and access control.

Human-in-the-loop review

Where AI is involved in consequential decisions, Cadmus designs workflows where the system proposes and a human approves, with the entire trail recorded. AI accelerates the work without removing accountability.

Security and reliability

AI features sit inside the same security model as the rest of the system: roles, scopes, audit trails, and explicit data boundaries. Sensitive workflows can use self-hosted or controlled-region inference where required.