A step-by-step worked example of AI invoice processing automation, from the AP inbox to a draft bill, showing where the LLM fits, where plain code must take over and where a human still decides.
Automating the bottleneck first is usually right, but only once it is confirmed as the real constraint, its cheap fixes are exhausted, and the work there is rules rather than judgement.
What AI automation really costs a Northern Ireland business, which public support is realistic to get, and which workflows to automate first.
A practical method for calculating process automation ROI and payback, covering baseline measurement, full costing, adoption ramps and a worked example you can adapt.
Zapier, Make, n8n and custom code each fit a different workflow, team and volume, and this guide covers how to choose and when to move between them.
Hiring is the default answer to growing volume, but automating the transcription and coordination work that scales one-for-one with demand lets your existing team absorb growth without adding headcount.
A practical guide to replacing manual data entry with a validated, auditable pipeline where people handle only the exceptions and stop retyping every field.
A simple pattern for running AI agents from your phone: four coloured action tags, one task per line and a closing ‘For you’ list, so the human in the loop never misses an ask.
Find the step where work waits longest, fix the process around it, then automate the frequent, rule-based work on that constraint first. A scoring method included.
Consumer and enterprise software, built with taste and shipped fast.
AI agents, automation, and orchestration - production systems, not demos.
Hands-on engineering and strategy for teams shipping AI into production.