ERP
Runs operations at scale
The missing layer
Every enterprise has world-class systems. None governs the decision.
Every enterprise has systems that manage data. None manages decisions. Your stack runs the business brilliantly — but the consequential decision that commits the enterprise to risk, capital, and strategy lives in none of these systems. That layer is what Logyc is.
CRM
Manages customers and commercial execution
PLM
Manages products and the engineering lifecycle
FP&A
Plans and models financial outcomes
BI
Measures performance and delivers insight
Logyc · The decision governance layer
Governs how consequential decisions are created, tested, owned, monitored, and adapted.
01
Create
Frame the decision and its options
02
Test
Model scenarios, validate assumptions
03
Own
Assign accountability and decision rights
04
Monitor
Track signals, risk, and performance
05
Adapt
Correct and adjust as reality diverges
Decisions inform execution. Outcomes inform decisions.
Planning and simulation tools model what might happen; BI explains what already did. Logyc governs what you commit to do about it — the decision itself. Not another tool in the stack; the layer the stack was missing.
The Problem
The business case is not the decision.
Decisions are approved on presentations, forecasts, and confidence. The real decision is the hypothesis underneath: what must be true, which assumption carries the outcome, what would prove it wrong, and who owns the response. The costliest surprises come from that missing architecture — not a lack of intelligence.
Presentation→Approval→Surprise
With Logyc · approval is the start of a monitored commitment
Model→Decision Architecture→Correction Before Damage
The Platform
Not another dashboard. The operating layer beneath the decision.
Anaplan, Pigment, Power BI help you analyze. Logyc governs the commitment — the assumptions it rests on, who owns the outcome, what happens when reality diverges. It sits above the tools you already run, not beside them.
01
Enterprise Model
See how a commitment moves through finance, operations, and the value chain.
02
Simulation Engine
Test alternatives, constraints, and second-order effects before commitment hardens.
03
Assumption Architecture
Name the assumptions that carry the outcome, ranked by consequence and evidence.
04
Decision Record
Lock the prediction, logic, owner, and trigger at the moment of commitment.
05
Learning Loop
Compare expectation against outcome — and recalibrate the next decision.
Platform · Advisory · Intelligence
More than a platform. A governed decision system.
Logyc combines enterprise decision infrastructure with the advisory discipline required to apply it to high-consequence commitments.
The platform models the decision. The advisory process frames the real question, integrates stakeholders, evaluates evidence, interprets scenarios, and prepares the board-ready recommendation.
Platform
Enterprise models, simulations, assumption architecture, decision records, monitoring triggers, and Decision Memory.
Advisory
Senior decision support for CEOs, CFOs, boards, and leadership teams facing capital allocation, growth, M&A, transformation, AI, or operating decisions.
Intelligence
External developments translated into affected assumptions, updated scenarios, warning signals, and correction triggers.
The result is not another presentation. It is a governed decision system: modeled, tested, owned, monitored, corrected, and remembered.
Built for the age of AI
The governance layer for AI-driven decisions.
As AI generates more recommendations than any team can vet, Logyc is the layer that makes them governable: which to trust, who owns the outcome, and how to know early when one is wrong.
Which to trust
Stress-test AI recommendations against the assumptions they depend on — before any becomes a commitment.
Who owns the outcome
Every recommendation gets a named owner and a recorded prediction — not an anonymous suggestion.
Know early when it's wrong
Correction triggers fire when reality diverges from what the AI expected — before the damage.
Logyc Decision Intelligence
External intelligence. Enterprise consequence.
Intelligence only matters when it changes the decision. Logyc translates external developments in rates, tariffs, energy, regulation, AI, supply chains, financing conditions, and market structure into affected assumptions, updated scenarios, warning signals, and correction triggers.
Tariffs & Trade
Identify changes to sourcing, margin, supply chain, pricing, and customer demand assumptions.
Rates & Credit Conditions
Test how financing costs change capital allocation, M&A, capacity expansion, and working-capital-heavy decisions.
Energy & Input Costs
Translate energy and commodity shocks into operating cost, margin, supply, and resilience assumptions.
Supply Chain Disruption
Monitor supplier, logistics, inventory, lead time, and service-level assumptions.
Enterprise AI
Govern AI capital deployment by linking recommendations to ownership, expected value, adoption requirements, and measurable outcomes.
Regulation & Geopolitical Risk
Convert regulatory and geopolitical shifts into decision-specific constraints, risks, and required actions.
External development→
Affected assumption→
Scenario update→
Owner notified→
Trigger adjusted→
Decision record updated
Decision Memory
Most systems record what happened. Logyc records what you predicted — and why.
Your systems capture transactions and outcomes. Logyc captures the prediction behind a commitment — and holds it against what actually happened. Your organization compounds judgment instead of repeating mistakes.
- At approval
Prediction locked. Load-bearing assumption named. Trigger set.
- Early signal
Leading indicators monitored. Owner alerted if conditions change.
- Trigger point
Correction activated if a trigger threshold is crossed.
- Outcome review
Actual compared against what was predicted.
- Next decision
Model recalibrated. Learning preserved.
Logyc Sphere · The modeling core
A decision is never isolated. Logyc models the whole system it moves through.
Built on a decade of enterprise simulation, Logyc Sphere models the business as one interconnected system — so a single commitment can be simulated as it propagates downstream through every layer, not just the slide it was approved on.
L1
Value chain & sourcing
Suppliers · components · lead times · logistics · cost structure
L2
Operations & capacity
Throughput · service levels · fill rate · constraints · inventory
L3
Product, mix & demand
Formulation · pricing · product mix · demand volatility
L4
Customers & markets
Regional demand · channels · retention · revenue
L5
Finance, cash & capital
P&L · working capital · free cash flow · NPV · capital efficiency
Digital twin of the enterpriseOne environment, not disconnected spreadsheetsEnd-to-end value chainWhat-if simulation across finance, operations, and cash
A decade of enterprise simulation and digital-twin modeling — from financial modeling to the end-to-end value chain — now the modeling core of the platform.
Who It Serves
Built for the people who live with the consequences.
CEO / President
Commit only to what the enterprise can support — before guidance, capital, and credibility are at risk.
CFO / Finance Leadership
See the assumptions beneath the numbers. Protect forecast quality, capital, and investor credibility.
Board / Investors
Govern the reasoning before the result — the load-bearing assumption, the downside, the trigger, the owner.
COO / Operating Leadership
Test whether the operating system can actually execute the commitment before it's approved.
Start with one decision
Two ways to begin.
Start with the path that matches the decision in front of you.
Advisory-led engagement
Decision Sprint
Use this when leadership needs help strengthening one urgent, cross-functional, board-visible, or difficult-to-reverse decision before commitment hardens.
Outputs
- Board-ready recommendation
- Assumption and constraint register
- Scenario and stress testing
- Monitoring and correction plan
- Governed decision record
Platform-led implementation
First Platform Deployment
Use this when the organization is ready to stand up Logyc inside its environment around one high-stakes decision and prove the operating layer before broader adoption.
Outputs
- Governed Logyc decision model
- Platform deployment in client environment
- Data / model integration
- Decision record
- Monitoring triggers
- Path to enterprise rollout
Both paths begin with one consequential decision. Both are designed to create the same long-term capability: enterprise decision infrastructure.
Once approval hardens, the enterprise is no longer testing the decision. It is living with it.
First Platform Deployment
Deploy the platform around one decision.
The First Platform Deployment stands Logyc up in your environment around a single high-stakes decision, proving the platform before broader enterprise adoption.
One decision · deployed in your environment · a decision on the record
What you bring in
- One consequential decision — a capital commitment, expansion, acquisition, or supply-chain move
- The business case and financial model behind it
- ERP / BI / planning data already in your stack
- The assumptions the decision rests on
- The owner accountable for the outcome
What the deployment produces
- A modeled decision with base / stress / adverse scenarios
- The load-bearing assumptions, made explicit and evidence-rated
- Correction triggers wired to leading signals, each with a named owner
- A board-ready decision memo — prediction, assumption, triggers, and owner on one page
- A durable decision record that holds every prediction against what actually happens
Prove it on one decision before you standardize across the company. The first deployment is how Founding Enterprise Customers start — bounded, low-risk, and yours to keep as a working decision record.
Logyc Decision Sprint
Strengthen one live decision before commitment hardens.
The Logyc Decision Sprint is a fixed-scope, 8-week engagement around one live consequential decision. It is designed for leadership teams that need advisory support before a commitment becomes difficult to reverse.
It is the best starting point when the decision is urgent, cross-functional, board-visible, capital-intensive, or strategically important, but the enterprise is not yet ready for a full platform deployment.
8 weeks · fixed scope · one live decision
01
Frame the decision
Define the real decision, alternatives, success criteria, decision rights, leadership alignment, and what must be true for value creation.
02
Build the enterprise baseline
Connect finance, operations, strategy, constraints, external conditions, and available client data into a governed Logyc decision model.
03
Test assumptions and alternatives
Surface load-bearing assumptions, test adverse scenarios, quantify trade-offs, expose execution constraints, and identify the signals that would prove the thesis wrong.
04
Deliver recommendation and governance
Produce a board-ready recommendation with assumptions, evidence, alternatives, owners, indicators, thresholds, correction triggers, and a durable decision record.
Logyc does not end with a recommendation. Every Sprint produces a governed decision model, a decision record, monitoring triggers, named owners, and a learning loop.
The engagement output
What the client receives.
The Sprint produces both executive decision work and a governed system of record.
Decision Work
- Decision framing document
- Assumption and constraint register
- Alternative analysis
- Scenario, sensitivity, and stress testing
- Executive recommendation
- Board-ready decision memo
Governance System
- Governed Logyc decision model
- Monitoring plan
- Correction trigger map
- Named decision owners
- Prediction-versus-outcome record
- Decision Memory entry
Start with one decision. Leave with a governed decision record the enterprise can keep learning from.
Path to infrastructure
From Sprint to Infrastructure.
A Decision Sprint can stand alone as a high-value leadership engagement, or become the first step toward platform deployment. Once the decision record proves useful, Logyc can extend from one governed decision into recurring decision infrastructure across the enterprise.
Decision Sprint→
Governed Decision Record→
First Platform Deployment→
Decision Infrastructure→
Decision Memory
The first decision proves the discipline. The next decisions build the operating system.
Deployment · Founding Enterprise Customers
Designed to fit the environment you already operate.
Logyc is now available to a limited number of Founding Enterprise Customers. Initial deployments begin with a single consequential decision in your own environment, proving value before broader enterprise adoption.
01
No rip-and-replace
Runs alongside your existing ERP, BI, FP&A, and planning systems — it governs the decision layer above them.
02
Starts from what you have
Built to read from the business cases, models, reports, and exports your teams already maintain.
03
Private and reviewable
Deployed in a private environment, with controlled access and room for your security review.
04
One decision first
We stand the platform up on a single high-stakes decision to prove value before anything scales.
05
Expand as it earns it
Extend Logyc to the decisions and teams where being wrong is most expensive — once the first one proves out.
Designed to work alongside
SAPOraclePower BITableauAnaplanAWSAzureGCP
For CIO / procurement / legal — Logyc is currently available through a limited enterprise deployment program. Deployments begin on a single decision, in a private environment alongside the systems you already run — not a rip-and-replace program. Enterprise rollout is planned jointly following successful completion of the initial deployment.
Logyc Decision Quality Standard
The decision-quality standard behind every Logyc engagement.
Logyc’s Decision Quality Standard defines the elements that should be present before a high-consequence enterprise commitment is approved, monitored, and learned from.
Most companies review the recommendation. Logyc evaluates the architecture beneath the recommendation: what must be true, what could break, who owns the response, and how the enterprise will know early enough to adapt.
- 01Decision clarity
- 02Alternatives considered
- 03Assumptions named
- 04Evidence quality
- 05Constraints mapped
- 06Scenario testing
- 07Downside exposure
- 08Ownership assigned
- 09Correction triggers defined
- 10Prediction-versus-outcome learning
As more decisions are recorded and reviewed over time, Logyc gives leadership teams a reusable basis for comparing decision quality across commitments, functions, and enterprise patterns.
Get started
Put your next consequential decision on the record.
Start with one decision — strengthened before commitment, governed after approval, and remembered long after the outcome is known.
Start with one live decision — as an advisory-led Sprint, or a platform deployment in your own environment.