Framework

Jobs to Be Done, and the Job Enterprises Are Actually Hiring AI Governance to Do

Clayton Christensen's Jobs to Be Done theory reframes how products get chosen. People do not buy products because of their features. They hire products to do a job, and they fire whatever they were using before in favor of whatever does that job better.

Applied to AI governance, most vendor conversations start from the wrong question. They ask what category a buyer needs, a policy engine, a cost dashboard, a DLP tool. Almost nobody wakes up wanting any of those things as an end in itself.

The actual job sounds more like this: when my agents act autonomously, I need to know, before they act, whether this action is compliant, cost-justified, safe for confidential data, and accounted for environmentally, because I am held accountable for all four after the fact, not just one.

Today, no single thing gets hired to do that whole job. Enterprises stitch together four vendors, four dashboards, and end up with no single record proving any proposed action was evaluated on all four dimensions before it executed.

This is the job RALAIC is built to do, stated precisely rather than described by category. Not a policy engine that happens to also track cost. Not a DLP tool with a governance feature bolted on. One evaluation, of one proposed action, producing all four answers at once, written to one record. Naming the job this specifically is not a sales pitch, it is the same discipline Christensen's framework asks for from the start, describe the job in the customer's terms before describing anything about the product built to do it.