AI Automation

Most operational work that looks like judgement is really pattern-matching over documents, messages and records: triaging a ticket, reading an invoice, routing a request, summarising a thread. Those are the steps worth automating first, because they are frequent, well-bounded, and expensive in aggregate.

We build the whole path, not just the model call: the trigger that starts a run, the retrieval that gives the model context, the orchestration that sequences steps, the fallbacks for when a provider or a parse fails, and the handover to a person when confidence is low. Automation that cannot escalate is a liability rather than a saving.

• Document workflows: extraction, classification and validation over invoices, contracts, forms and email
• Support and triage: routing, drafting and summarising across your existing helpdesk or inbox
• Internal orchestration: multi-step processes that read and write to the systems you already run
• Human-in-the-loop review, so uncertain cases reach a person instead of failing silently

Workflows are metered, logged and versioned. You can see what each run cost, which model answered, where it escalated and what changed between versions, the same operational legibility the gateway gives an API integration.

Ready to scope this? Start a project brief and we'll plan around your goals, timeline and budget, or read about custom development if you need something built from the ground up.