Information gets spread across systems. People create manual workarounds. Experienced employees become the people everyone relies on to resolve exceptions. Decisions that should be straightforward start requiring meetings, Slack messages, email chains and repeated review.
Each of those shows up somewhere in the business: hours of employee time, senior attention pulled into routine cases, slower customer response, rework, errors and duplicated effort. It is rarely on a budget line, which is why it persists.
Adding AI can help, but it can also automate the mess.
Rivington starts by understanding how the work should operate. Then we determine what should be handled by software, what can be automated, where AI can help, and where human judgment still matters. Sometimes the answer is that AI is not the right tool, and we will say so.
- The first question
- What is this workflow costing you today?
- The second question
- What would have to change for redesigning it to be worthwhile?