Core Models & Methods
The Intellectual Spine of StrategyOps 2.0
StrategyOps 2.0 is built on 18 unique proprietary models, developed and owned by Ruben E. Melendez. Three anchor models define the framework's intellectual spine.
Model 01
The TSR Causation Stack
A four-tier auditable hierarchy that connects every AI investment decision to its ultimate impact on Total Shareholder Return (or Total Stakeholder Return for non-profits).
The four tiers
Tier 1
Shareholder / Stakeholder Outcomes
The financial and value outcomes the enterprise must deliver.
Tier 2
Primary TSR Drivers
Revenue Growth · Operating Margin · Free Cash Flow · Capital Allocation · Valuation Multiple.
Tier 3
Business Value Drivers
The operational and strategic levers that move the TSR drivers.
Tier 4
Enablers
The human-AI systems, capabilities, and SSAC levels that activate the value drivers.
Why it matters to the CFO and CIO
Every AI investment can be traced, forward to its expected financial outcome, and backward from a value gap to its root cause. The TSR Causation Stack makes that traceability systematic and auditable.
Model 02
The SSAC Model
Strategic Agility Competence
An 11-level framework that defines the optimal human-AI collaboration architecture for any given enterprise context, strategic objective, and outcome requirement.
The four bands
SSAC 01–03
Assisted
Human-led decisions with AI support; highest human judgment ratio.
SSAC 04–06
Augmented
Human-AI collaboration in near-equal proportion; where TSR lever movement is primarily achieved.
SSAC 07–08
Autonomous
AI-led execution within human-defined boundaries; amplifies velocity.
SSAC 09–11
Hyperadaptive
Self-optimizing human-AI architecture; continuous learning and strategic adaptation.
Why it matters to the CIO and Chief Data & AI Officer
SSAC levels determine solution requirements, data architecture, workforce capability needs, and technology investment scope. Every AI initiative must be designed to a specific SSAC target, not deployed and assessed after the fact.
Model 03
The Means of Quantification
The structured framework for defining, measuring, and reporting the full economic impact of every AI and digital investment, across both accounting-visible and economically-visible value.
Four profit impact areas
Explicit
Cost Reduction Benefits
Accounting-visible: directly reduces operating costs.
Implicit
Cost Avoidance Benefits
Economically-visible: prevents future costs from materializing.
Explicit
Revenue Increase Benefits
Accounting-visible: directly grows top-line revenue.
Implicit
Revenue Protection Benefits
Economically-visible: prevents revenue loss from competitive or operational risk.
Cost Reduction and Revenue Increase register in accounting profit (P&L-visible). Cost Avoidance and Revenue Protection register in economic profit, real value that standard financial statements undercount.
Why it matters to every C-suite leader
If value is not designed to be measured at the outset, it cannot be reported, defended, or sustained. The Means of Quantification closes this gap.
The Full Body of Work
Additional Proprietary Models
Three anchor models define the spine; fifteen more operate across the five phases.
- VBTU EquationValue Boundary Transformation Unit
- RixVal FormulaCybersecurity risk monetization
- Human+AI Strategic Agility Architecture15-step process
- TVO ModelTotal Value of Opportunity
- + 14 additional modelsAcross the five strategic phases
See the models applied to your enterprise.
Request a briefing on how the TSR Causation Stack, SSAC Model, and Means of Quantification apply to your investment portfolio.