Find the constraint
Limiting Reagent
The scarce input that caps the value your people, data, systems, or AI investment can produce.
The consulting arm of 64-4
CoreCut4 helps leaders turn AI ambition into a focused operating advantage. We find the constraint, identify the highest-leverage move, and remove the work that dilutes it.
Strategy, systems, workflows, and decision design.
The point of view
Most AI programs do not need more tools, more pilots, or more activity. They need a sharper diagnosis of the few conditions controlling the result.
The CoreCut4 lenses
The same 64-4 framework used for learning becomes an applied consulting method: two lenses show where to focus resources, and two show what to stop carrying.
Find the constraint
The scarce input that caps the value your people, data, systems, or AI investment can produce.
Concentrate the leverage
The workflow, decision, capability, or system whose improvement multiplies performance across the organization.
Release trapped capacity
Recurring friction inherited from old decisions, legacy systems, duplicate processes, and workarounds.
Remove the noise
AI theater, unused output, low-value reporting, and busywork that creates motion without changing the result.
How we work
We start with the business system—not a predetermined tool. The engagement gets narrower as the evidence gets stronger.
Map the outcome, constraints, decisions, data, workflows, and inherited friction.
Rank opportunities by leverage, feasibility, risk, and time to useful evidence.
Turn the keystone opportunity into a practical workflow, system, or decision tool.
Leave your team with the capability, measures, and operating clarity to own it.
Where CoreCut4 fits
AI strategy and prioritization
Workflow and operations redesign
Decision-support systems
Data and infrastructure constraints
Tool and vendor evaluation
Legacy process simplification
Start with a quick diagnostic
This tool offers a first-pass hypothesis through the CoreCut4 lenses. It is a starting point for sharper questions, not a substitute for evidence.
The critical few are usually already there
Bring us a consequential AI, operations, or systems problem. We’ll start by deciding what actually deserves attention.