Value.
Multiplied.
We identify, quantify, engineer and continuously optimize the fundamental drivers of value across growth, cost, speed, trust, resilience and customer experience.
Every organization exists to create value. We exist to multiply it. Everything else is implementation.
01 / VALUEAct I
The premise
Before the method, the argument: value is the only thing anyone actually buys — and it can be measured.
01 — A New Category
Businesses don't buy software.
They don't buy consulting.
They don't buy AI.
They buy value.
Traditional companies sell
- Advice
- Software
- Projects
- People
We sell
Measurable Value Creation
Which only means something if value can be broken into parts. It can — twenty of them.
02 — The Universal Value Model
Twenty universal drivers.
Every business on earth.
Every industry, every technology, every initiative reduces to movement on these twenty drivers.
Value driver 01 / 20
Growth
Expansion of demand captured per unit of effort.
- Metrics
- ARR, win rate, expansion
- Industries
- Retail, SaaS
- Typical ROI
- +12–28% revenue
Decomposition — six factors, multiplied
17/100Evidence state: Partially tested. A driver is only worth what its weakest factor allows — this is where the value case gets audited, not asserted.
03 — The Value Graph
From organization to dollar, one connected line.
Eight layers, in order. Walk the line to see what we read at each layer — and why value only becomes financial at the end of it.
Decisions
Where is value won or lost?
The specific moments where a choice changes the economics — priced, timed, routed.
Decisions are the highest-leverage node in the graph.
What we read here
- Decision inventory
- Decision quality & latency
- Automation candidates
00 — The Value Creation Lifecycle™
Value. Created.
Measured. Compounded.
Not consulting. Not AI. Not software. Not projects. One continuous system that converts opportunity into measurable enterprise value — and where we fit at every stage.
Stage 01
Discover
What creates value here?
What we work on
- Objectives
- Stakeholders
- Jobs to be done
- Journeys
- Value drivers
- Constraints
Artifacts produced
- ✓ Enterprise Context Map
- ✓ Stakeholder Map
- ✓ Value Driver Library
- ✓ Opportunity Map
How we fit
We run discovery as an instrumentation exercise, not a workshop tour.
What changes for you
Your teams hold the context. We turn it into a structure that can be measured.
Every stage is powered by
- Economics
- Behavioral Science
- Systems Thinking
- Operations Research
- AI
- Decision Science
- Game Theory
- Finance
Every stage runs on
- People
- Data
- Technology
- Processes
- Governance
- Automation
- Measurement
- Knowledge
04 — Scope Of Engagement
What we actually touch to move that line.
Six areas, one sequence — discovery, design, then twelve months of implementation. Nothing here is a deliverable for its own sake; each one attaches to a driver on the graph.
Scope of engagement — six areas
Discovery
Establish what is actually true before anyone proposes anything.
- Stakeholder interviews
- VOC surveys
- DILO studies
- SOP walkthroughs
- Technology reviews
- Sector benchmarking
How it runs — discovery to twelve months
What is the current state, and where are the levers?
- 01Stakeholder engagement — leadership alignment, vertical heads, staff, key partners
- 02Customer & market analysis — buyer/seller interviews, NPS, CSAT, attrition, drop-off, competitor benchmarking
- 03Process mapping — manual and digital workflows, redundancies, latency, dependency blocks, wastage, errors
- 04Tech & data assessment — stack and data flows across the value chain, usability, performance, automation gaps
- 05VOC & shadowing — on-ground journeys, app audits, offline touchpoints, journey scorecard
- 06Synthesis & reporting — quick wins vs long-haul, GROWTH × EFFICIENCY intervention matrix, org heatmaps
- 07Risk & standards review — ISO, PMO, quality and operational standards, continuity and risk exposure
05 — The Value Journey
Eight weeks to your first proven dollar.
Before any technology enters the conversation: this is how it runs, week by week. Every stage has an owner, an output and a number.
What is actually true today?
We instrument the business as it runs — systems, processes, decisions, spend. No workshops required to start.
What you get
Signed baseline of value creation and value leakage
Baseline agreed with your CFO
06 — Everything Maps To Value
Technology disappears. Value becomes the language.
It never starts with a vendor. It starts with a goal — then the stack, the capability, the driver, the dollar. And on the way: the leakage we plug, the speed we create, the errors we take out.
Start with the goal — never the vendor. The stack is interchangeable; the chain is not.
Shorten order-to-delivery
Order-to-delivery, 6.2 days → 2.9
Any ERP/WMS · Planning engine · Telemetry · Forecasting models
A promise you can keep
Reliability
+6 pts OTIF
Evidence — Automotive tier 1
Plans overridden manually in 1 of 3 sites — value never reaches the floor
$4.8m in avoided expedites
Replanning from nightly batch to every 15 minutes
Disruption absorbed same shift
Master data drift causing phantom stock on 9% of SKUs
Continuous reconciliation against physical counts
07 — Every Technology Is Just A Means
AI, in every form, ends in the same place.
Governance, large models, small models, agents, security — each is a means. The chain only settles in one column.
AI is not one thing
Systems that don't wait to be asked.
Multi-step work executed against a target
Work initiated, not just assisted
Automation · Throughput · Speed
3.8x throughput per FTE
Evidence — Shared services, order-to-cash agents
Act II
How it works
The premise is only useful if it runs. Here is the machine: map it, measure it, simulate it, ship it, prove it.
08 — From North Star To Monday Morning
One number to move. Four levers that move it.
This is the part most companies skip. Pick the north star, decompose it into levers, attach a named intervention to each — automation, agents, redesign, decision logic — and state what is different on Monday.
North star
Cost-to-serve (per order)
Shared services, 2.1m orders / year
38% of orders re-keyed by hand from email and PDF
Document ingestion + validation agent writes straight into the ERP
Orders arrive already in the ERP; humans only see exceptions.
-$1.90 / order
09 — Where Value Leaks
Why most value is identified, approved — and never arrives.
The levers are agreed. The business case is signed. Then four gates quietly multiply the result down. This is the number we manage, and the reason value is measured after go-live, not before.
Value identified
$120m
Value leaked
$95.6m
Value realized
$24.4m
20% of identified value
Realization is multiplicative, not additive. Four gates sit between a business case and a booked dollar. Each slider is the one input that gate takes — the share of value that survives it — and the dollars below are simply $120m × 0.62 × 0.55 × 0.84 × 0.71 = $24.4m.
Adoption
62%Did the people who were meant to use it actually start?
Input — % of intended users actively on it
Role-level rollout, incentives rewritten, manager scorecards.
Usage
55%Do they use it for the decisions that carry the value?
Input — % of value-bearing decisions made in it
Embed the decision in the daily workflow, not a second system.
Availability
84%Is it there at the moment the decision is made?
Input — % of decision moments with fresh, live data
Latency, uptime and data freshness treated as value controls.
Integration
71%Does the outcome flow into the system of record?
Input — % of outcomes written back and reconciled
Write-back, reconciliation, and a single accepted number.
At the settings above, a $120m case delivers $24.4m. Nothing was wrong with the technology. Every dollar was lost between the decision and the desk.
Act III
The proof
A method is worth what it has already returned. Same system, different industries, numbers signed off in the P&L.
10 — Every Industry Creates Value Differently
One model. Ten value equations.
Dominant value equation
Outcome per episode of care
Drivers that move it
Trust · Reliability · Safety
-30% avoidable readmission
11 — The Enterprise Value Twin™
A live representation of organizational value.
Every twin before it modelled a part of the business. This one models what the business is for.
- Digital Twin
- Financial Twin
- Process Twin
- AI Twin
- Value Twin
Act IV
The company
Who runs this, what we believe, and how it starts.
12 — Technology Ecosystem
We work across your technology landscape.
Methods
We apply the right methods to solve the problem, not the other way around.
13 — Research
The model is published, not protected.
Value Index
Annual cross-industry measurement of value creation.
Industry Benchmarks
Driver-level performance by sector.
Annual Value Report
Where value was created and destroyed.
Future of Value
Forward research on value economics.
Research Papers
Peer-reviewed methodology.
Open Frameworks
The universal value model, published.
14 — Why We Exist
Every organization consumes resources.
Every organization promises value.
Very few can measure how value is created.
We built a universal system for measuring, engineering and compounding value.
15 — How We Think
01Everything is a system.
02Every system creates value.
03Every value driver is measurable.
04Every improvement has trade-offs.
05Every decision should be simulated.
06Every initiative should prove ROI.
07Technology is a means, not the goal.
08Optimization never ends.
16 — Begin
Measure your
value system.
Week 0 starts with your baseline. Eight weeks later you have a proven dollar.