AI that works for Operations
Operations is where every other function's loose ends get tied, usually by a person with a spreadsheet and a good memory. That works until volume grows or that person leaves.
Are these Operations challenges familiar?
The process lives in one head
How things actually get done is not what the process document says. It is held by two or three people, and the business is quietly dependent on them.
Handoffs are where things drop
Work passes between teams and systems by email, and the failures are not dramatic. They are things that simply sit until somebody notices.
No baseline for anything
Nobody can say how long the current process takes, which makes it impossible to argue for changing it or to prove that a change helped.
What we would look at first.
Measuring before building. In operations the first engagement often finds that the real problem is a handoff or a form rather than anything AI should touch, and saying so is cheaper for you than a system that automates the wrong step.
The routine path, unattended
The predictable majority of a process runs end to end without a person, with clear rules for what constitutes an exception.
Process AutomationExceptions that arrive explained
When something does need judgement it reaches a person with the history, the discrepancy and the likely cause already assembled.
Custom Tools & AgentsMeasurement as a by-product
Instrumenting the process while automating it, so for the first time there is a number for how long it takes and how often it fails.
Data Foundations