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3-Cubed

Consulting Partners

Your team spends 80% of an engagement on a diagnosis that misses the real cause.

3-Cubed runs alongside your methodology. It finds what the process walk doesn't.

And it gives your business case numbers your delivery team can defend six months after the engagement closes.

COO reviewing operational intelligence

THE CHALLENGE

The pattern repeats across engagements.

Process walks surface symptoms, not causes. The business case rests on assumptions that delivery can't defend six months later. The result: eroded client trust, scope creep, and a recommendation that was technically correct in isolation but wrong in context.

Where It Shows Up

  • Root cause inferred from interviews — not computed from the system
  • Business case numbers that delivery inherits but can't validate
  • Recommendations that optimise one lever and degrade three others
  • Six-month engagements where the first three months are diagnostic.

How 3-Cubed Addresses It

Diagnosis in days. A business case your delivery team can defend.

Weeks → days

Diagnosis time compressed from weeks to days. Analyst prep time cut 50%. Engagement duration: 6 months → 6 weeks.

Computed root cause

Surfaces what process walks miss: control misplacement, shift misalignment, deadline-driven rework — computed, not inferred.

Quantified future state

Outcomes modelled before you propose. Cost, cycle time, and control consequences per option — not estimated.

Defensible business case

Numbers the delivery team can validate against. Client trust maintained six months after the engagement closes.

Consulting Partners — Computed Outputs

3-Cubed Outcomes,
Before Commitment

Each Metric Computed Across The Full PROFIT Lever Interaction. Each Tile Shows Which Levers Drove The Outcome.

Cost

4.2%

Cost Base Reduction

Required FTE59 FTE
Infra Cost−22%

· Unit Economics · Investor Lens

Driven By

  • Operations88%
  • IT68%
  • Finance52%
Client Experience

13.2 DAYS

Cycle Time Reduction

First-time Right64%
Critical Path7.2 days

· Experience & Trust · Client Lens

Driven By

  • Operations85%
  • Process72%
  • IT58%
Control

80%

Control Coverage

Lines of Defence3 LOD
Control Efficacy77.5%

· Risk & Compliance · Regulator Lens

Driven By

  • Risk94%
  • IT60%
  • Process48%

Case Evidence

In every case: the model found what the team didn't expect.

See case data

Banking: KYC / Compliance

Reduce cycle time and cost

Cost
−40%
Cycle
−31%
Control
+4 pp

Oil & Gas: Accounts Payable

Reduce cost, maintain controls

Cost
−49%
Cycle
—
Control
—

Healthcare: Claims

Reduce effort and cycle time

Cost
−27%
Cycle
−57%
Control
+10 pp

Trade Finance: Letters of Credit

Reduce cost and TAT

Cost
−9%
Cycle
−63%
Control
+7 pp

All cases anonymised by industry. Client names available under NDA.

−50%

Analyst prep time

−60%

Engagement duration

Modelled

Business case — not estimated

See what happens before you decide.

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Person reviewing outcomes on a laptop