Platform · Why a decision layer

Your plans are sound. The value leaks between them.

In March, Sales lands a customer ramp. Operations has already committed capacity to last year's mix. Finance sees the effect on profit at quarter close. Each plan was right on its own terms, and the enterprise decision was never made. VYAN is the layer where it gets made.
Illustrative concept: DECISION LAYER · VYAN What to commit What to commit, what to protect and when to act, for the whole enterprise PLANNING SYSTEMS What the plan says Demand, supply and financial plans, function by function RECORD SYSTEMS What is true Orders, inventory, costs and master data in ERP and CRMDECISION LAYER · VYANWhat to commitWhat to commit, what to protect and when to act, forthe whole enterprisePLANNING SYSTEMSWhat the plan saysDemand, supply and financial plans, function byfunctionRECORD SYSTEMSWhat is trueOrders, inventory, costs and master data inERP and CRM
Three layers, three jobs

The systems you run stay. VYAN adds the layer that decides.

Record systems keep the facts. Planning systems coordinate the functions. Neither was built to choose commitments when the future can go several ways.
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Record systems

Hold what is true: orders, shipments, inventory, costs and master data. They report the past precisely.
ERPCRMExecution
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Planning systems

Turn intent into feasible plans and schedules, function by function. They coordinate well and stay essential.
S&OPSupplyScheduling
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The decision layer

Chooses what to commit, what to protect and when to act, across the range of futures, against one enterprise objective.
CommitProtectAct
How VYAN is built ↗
Why value leaks

Planning was built for a world where volatility was the exception.

Conventional platforms coordinate demand, supply and finance, run optimization and compare scenarios. Six habits built into them still let value leak.
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One forecast

Uncertainty is collapsed into a single number early, so the plan is right only if that number is.
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Functions in sequence

Demand hands off to supply, supply to finance. Each step inherits a decision it can no longer challenge.
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Each function's own target

Service, utilization and working capital are each maximized, and nobody owns the enterprise number.
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Parameters typed by hand

Lead times, yields and safety stocks are set once and age quietly while the business moves.
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Buffers added afterward

Protection is layered on after the plan, everywhere, sized by habit rather than by what it saves.
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Replanning on the calendar

A shock waits for the next cycle, and the reasoning behind the last decision lives in email.
Three ways to plan

Automating a single-number plan makes it faster, not better.

Single-forecast planning
Automated single-number plans
VYAN
The future
One forecast, with best and worst cases built by hand
The same forecast, refreshed more often
Ranges learned from your own history, across many plausible futures
The goal
Each function's own KPI
The same KPIs, chased faster
One enterprise objective: economic profit (EVA), profit after a charge for the capital it ties up
Protection
Buffers added after the plan
Alerts and expedites when the plan breaks
Chosen with the plan and priced, bought where it pays
When something changes
Wait for the next planning cycle
Respond faster to signals under the configured rules
Judge the change against the bounds the plan was built to absorb
The reasoning
Lost in decks and email
Logged as alerts
Every run kept with its inputs and its results
Autonomy is not the shortcut

A faster wrong answer is still wrong.

An agent that expedites every late purchase order gets faster at expediting. The plan underneath still bet on one future, so the expedites keep coming, and so do the bills.

Autonomy without resilience is just faster risk. Make the decision resilient first; then speed and autonomy are safe to scale.

Illustrative concept: ENTERPRISE VALUE Demand falls short excess stock, write-offs Demand runs hot stock-outs, expedites Demand far below plan ← what the future brings → demand far above plan Resilient plan Single-forecast plan, automated GIVE UP A LITTLE IN THE MIDDLE TO PROTECT BOTH TAILSENTERPRISE VALUEDemand falls shortexcess stock, write-offsDemand runs hotstock-outs, expeditesDemand far below plan ← what the future brings → demand far above planResilient planSingle-forecast plan, automatedGIVE UP A LITTLE IN THE MIDDLE TO PROTECT BOTH TAILS
A proposal is not a decision

A planning engine proposes. An enterprise decides.

Illustrative concept: PROTECTED Plan tested across futures Single-forecast plan Range of possible futuresPROTECTEDPlan tested across futuresSingle-forecast planRange of possible futures
From
To
Assumes one future is true
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Weighs the range of futures the business could meet
Optimizes one function's target
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Balances service, profit, cash and risk against one objective
Adds protection after the plan
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Chooses the plan and its protection together
Re-plans from scratch each cycle
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Carries commitments forward and revisits the decisions still open
Asks how to meet the forecast
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Asks what to commit, what to protect and when
Measured by plan attainment
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Measured by economic outcome
Start with one decision

See where value leaks between your plans.

A PULSE workshop is a two-to-three-hour working session with your leadership team on how your enterprise decides today, grounded in your public financials.
Book your PULSE workshop ↗