ERP
Runs operations at scale
The missing layer
Every enterprise has world-class systems. None governs the decision.
Your stack runs the business brilliantly. But the consequential decision — the one 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.
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.
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.
Once approval hardens, the enterprise is no longer testing the decision. It is living with it.
First Decision Deployment
Start with one decision.
Your first deployment stands the platform up on a single high-stakes decision and instruments it end to end — modeled and stress-tested, its assumptions captured, its correction triggers wired, its decision record open. From there, Logyc extends to the decisions where being wrong is most expensive.
One decision · fixed scope · 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.
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.
Get started
Put your next consequential decision on the record.
One decision — modeled, governed, and remembered. Before you commit, and long after.
See how it works in a short walkthrough, or talk to us about a deployment in your environment.