Constraint-aware optimisation
Quadratic Optimizer
Constraints
Assignments, schedules, resources, staffing, routing, ordering and timing with explainable trade-offs.
Constraint-aware recommendation
Allocate 18 jobs across 7 technicians
Skills
+Location
+Priority
+Capacity
→Recommendation
Objective score
91
Trade-offs remain explainable; consequential decisions stay approval-aware.
Scenarios
18
Synthetic · Constraints
Constraints
46
Synthetic · Constraints
Feasible
12
Synthetic · Constraints
Best delta
+14%
Synthetic · Constraints
Constraint-aware optimisationintelligence
Constraints operating surface
Capacity ≤ 80%SLA preservedAuthority validCost target
Scenario B+14%Best feasible
Scenario A+8%Feasible
Scenario C+19%Constraint breach
Operational attention
Shift optimisation
Highest-impact synthetic exception in this workspace.
Route scenario
Evidence or coordination requires review.
Control surface current
Latest synthetic state passed workspace checks.
Domain flow
01Define
02Constrain
03Solve
04Compare
05Approve
Quadratic Optimizer queue
Current constraints objects
| Object | Context | State | Next |
|---|---|---|---|
| Shift optimisation | Constraints | In progress | Open |
| Route scenario | Constraints | Review | Verify |
| Capacity trade-off | Constraints | Ready | Resolve |
Decision intelligence
Next bounded move
Present the best feasible scenario alongside the constraints it satisfies and the trade-offs it introduces.