Invoice and receipt processing
Invoices captured from email, read with AI, matched to purchase orders, routed for approval and posted to your ledger. No keying, full audit trail. How it works →
Process Automation
We map a process, automate it end to end, and keep it running — invoices, onboarding, support, reporting. Where classic robotic process automation breaks on a changed screen or a badly written email, our workflows read context and keep going.
Most businesses don't have an automation problem — they have twenty small ones. A finance person keying invoices. An ops person chasing documents. A support agent retyping order numbers. Individually none justify a project; collectively they consume a salary.
Process automation is the discipline of removing them systematically: find the processes that repeat, encode the rules that govern them, and let software carry the load. What's changed in the last two years is that automated processes no longer break the moment reality gets messy — because AI handles the reading and judging that used to require a person.
Both automate work. Only one survives a supplier changing their invoice layout.
| Legacy RPA | AI process automation | |
|---|---|---|
| How it works | Records and replays clicks and keystrokes on fixed screens | Connects through APIs and uses AI models for the steps needing judgement |
| Messy input | Breaks — needs structured, predictable data | Reads free text, PDFs, photos and email the way a person would |
| When something changes | The bot fails silently until someone rebuilds it | Tolerates layout and wording changes; monitored and fixed when it can't |
| Exceptions | Dumped into a queue for humans | Classified, escalated with context, or handled inside your rules |
| Setup | Licences per bot, plus an implementation project | Flat monthly fee including build, hosting and monitoring |
The honest version: RPA is still the right tool for locked-down legacy systems with no API. For everything else, AI-driven automation is cheaper to build and far cheaper to keep alive. We'll tell you which one your process needs — see the longer comparison.
Each is a complete chain — trigger to finished result — running without anyone watching it.
Invoices captured from email, read with AI, matched to purchase orders, routed for approval and posted to your ledger. No keying, full audit trail. How it works →
Routine tickets answered from live system data, actions executed inside policy, edge cases escalated with full context. How it works →
Workspaces, documents, access requests and kickoff scheduling triggered by a signature. Five days of setup becomes an hour. How it works →
Data pulled from every source, reconciled, and written up in plain language on a schedule — delivered before the meeting, not during it.
Policy checks, label generation, refunds through Stripe or Shopify, exceptions to a human. How it works →
Contracts, forms and spreadsheets read, extracted, validated and filed into the systems that need them.
One call to find the trigger, the rules, the exceptions and what "done" means. No consultancy theatre.
We wire your existing tools through their APIs and put AI where judgement lives.
Approval steps, hard limits and logging, tested against your real historical cases — not a demo dataset.
Live in about a week, monitored in production, tuned as volumes and edge cases evolve.
Deeper reading on how this works in practice.
Book a free call and we'll map your highest-cost repetitive process and tell you exactly what automating it would return.
Book a free call