From pilot to production: operationalising AI automation in mid-sized firms
Most companies run a successful AI proof-of-concept and then stall. This guide walks through the operating model, data hygiene and change-management steps that turn a clever demo into a reliable, audited workflow that actually reduces headcount cost. We share the failure patterns we see most often and the guardrails that keep generative AI from embarrassing your brand, plus a simple scorecard for deciding which processes are worth automating first and which should stay human.