Surplus is not a project condition. It is a standing condition. Avoid the common design errors that destroy value and increase latency.
Enterprises often try to treat governance as a temporary fix. But visibility without trust creates noise, and centralization without decision rights creates delay.
A disciplined SCALM program is not perfect. It is coherent.
Maturity is achieved by avoiding predictable failures.
Enterprises build a catalog and expect behavior to change. But visibility is necessary, not sufficient. A list does not create trust.
Define a minimum 'redeployable' standard. If the asset cannot meet the standard, it should not be presented as an option.
Reacting to chaos by pulling everything into corporate control. Centralization reduces variance but increases latency.
Tier authority. Low-risk items resolve locally. High-risk items escalate with defined turnaround expectations.
Book value feels objective, but it reflects a past consumption plan, not future surplus outcomes.
Adopt outcome-based metrics: recovery ranges, time-to-exit, and holding cost sensitivity.
Selecting a marketplace or dealer and assuming the job is done. Channels don't resolve classification errors or ambiguity.
Build execution as a decision system: segmentation, path standards, time limits, and learning.
Surplus decays under delay. Yet many organizations have no time-bound decision standards.
Define time limits by segment and enforce automatic pathway transitions. Redeployment windows must be explicit.
Every site has a reason why its asset is different. Exceptions are sometimes valid, but they are how standards die.
Allow exceptions only through recorded rationale and defined thresholds. Fix the standard if exceptions persist.
Compliance cannot be bolted on after execution. Traceability must be designed in.
Make evidence requirements mandatory by risk tier: identity proof, approvals, data sanitation, and screening.
Measuring activity without changing standards. Reporting prices without updating decision ranges.
Institutionalize outcome learning: channel performance, variance drivers, failure reasons, and updated thresholds.