How an assessment runs, step by step.
Illustrative examples built on simulated data. They show how Operient turns operational evidence into a recorded investment decision, and what happens when the evidence changes. They are not client engagements.
Four situations, worked through.
Thirty ideas, one budget
A mid-sized bank with thirty AI proposals and delivery capacity for four. The example shows how the proposals are ranked on evidence and readiness, and why two of the most popular end up deferred with a written rationale.
Read the example →Assessing duplicated processes
Two merged organisations run every core process twice. The example shows how each process is assessed for AI in the same pass as the integration work, so the decision is made once instead of revisited six months later.
Read the example →Stopping a stalled pilot
A customer-service pilot had stalled for six months with no clear cause. The example shows how a re-score records what was assumed and what changed, and why stopping with a written rationale is the decision that can be defended.
Read the example →An AI position by the quarter
The board asks for an AI position within one quarter. The example shows a portfolio decision with a rationale, a value band and the conditions that would make it wrong, instead of a policy document.
Read the example →All examples use simulated data. Names, figures and outcomes are illustrative. When we publish a client case, it will be marked as one and published with the client’s consent.