Select Whole Value Streams for Rewiring
Scattered AI pilots feel like progress and produce almost none. The consistent finding across operations research is that pocket pilots in one or two areas show poor returns, while end-to-end redesigns of whole value streams are where the step change lives. Selection is the COO's lever: which streams, in what order, against what criteria, and what happens to the pilots that grew up outside any portfolio.
Proficiency Level
This is a preview of how skill assessment works in Admire
Measurable Behaviors
Behaviors are optimized to be directly observable for evidence-based skill tracking.
Codify stream selection into a standard method
Packages the stream map format, value-at-stake model, and entry criteria so other regions run the same discipline on their own candidates.
Fold or kill pocket pilots that bypass the portfolio
Reviews pilots running outside the portfolio against the entry criteria and gives each a disposition: folded, stopped, or documented exception.
Map value streams and quantify the value at stake
Baselines each end-to-end stream on cost, cycle time, and quality, with the size of the prize if it were redesigned.
Scope initiatives as end-to-end streams, not point fixes
Sets each initiative's boundary as a complete stream with the upstream inputs and downstream handoffs inside it.
Sequence the portfolio with explicit entry and exit criteria
Orders candidates by value, feasibility, and data readiness, publishing what enters the portfolio and what forces a program out.
This is a preview of how behavior tracking works in Admire
Mastering Value Stream Selection
Streams are chosen from a quantified map of value at stake, initiatives enter as end-to-end scopes with explicit criteria, and the sequence is deliberate. Rogue pilots get folded in or stopped, and the selection method itself is codified so the next wave and the next region choose as well as the first.