Technology

AI interprets. The engine calculates.
Every result, traced.

For the technical evaluator: IT, RevOps, CFO. A deterministic engine, an AI layer with hard boundaries, and a five-layer drill-down from the final number to the raw transaction.

100% deterministic engine Row-Level Security per tenant T-1 latency

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01
Inputs
Your files, your CRM and your ERP, exactly as they are today.
02
AI interprets
It reads, maps and flags anomalies. It never calculates.
03
The engine calculates
Deterministic rules: the same input always gives the same output.
04
Auditable outputs
Every number traces back to its source, layer by layer.

The core: interpretation, engine, consolidation

Anyone can bolt an agentonto old code architecture.The difference is what the AI is allowed to do.At Vialuce, it lives at the core of the architecture, not in the last layer.

01 · The engine

A composable engine. One domain, or all of them.

The same business rules that calculate a sales commission calculate a franchise royalty. Domain-agnostic.

The business building blocks that power every domain. Same engine for ICM, franchises, rebates and restaurant ops.

Composable rules

The business building blocks that power every domain. Same engine for ICM, franchises, rebates and restaurant ops.

Composable by design

Every new plan, every new rule, assembled from the same business rules. Not patched. Not coded.

100% deterministic

Same input always produces the same output. Auditable, reproducible, defensible in front of any CFO.

Verified accuracy

Reconciled line by line against your current system during the Guided Proof of Value. Reproducible across runs.

02 · AI layer

AI reads the plan; the engine does the math.

Reads compensation plans as written. Extracts components, tiers and rates, in any language.

What AI does

Plan interpretation

Reads compensation plans as written. Extracts components, tiers and rates, in any language.

What AI does

Field mapping

Maps source data to plan fields automatically. Closed-loop learning from corrections.

What AI does

Anomaly detection

Flags outliers and structural inconsistencies before they reach a payout.

What AI does

Coaching intelligence

Persona-adapted suggestions: communication style, risk signals, conversation context.

What AI doesn't do

Calculate anything. The engine does.
Modify rules at runtime.
Train on customer data across tenants.
Operate as a black box. Every step is logged.

03 · Data integration

Any source. No IT team required.

Excel, ERP, CRM, flat files, APIs. Bring what you have.

Any source

Excel, ERP, CRM, flat files, APIs. Bring what you have.

Ingest and normalize

Field mapping handled automatically by the AI layer.

T-1 latency

Refreshes near-real-time with prior-business-day information. Not streaming, but not last week's either.

04 · Security

Tenant isolation. Multi-tenant by design.

Row-Level Security per tenant. Complete data isolation at the database level.

Tenant isolation

Row-Level Security per tenant. Complete data isolation at the database level.

No data sharing

No raw customer data is shared between tenants, and customer data never trains shared models. Cross-tenant learning uses only structural classification signals, for example which headers are dates.

Multi-tenant, live

The architecture is in production today, validated across multiple tenants.

05 · Traceability

Five-layer drill-down on every result.

Final result

What the recipient sees.

Plan or rule component

Which line of the model produced it.

Applied logic

The tiers, thresholds or conditions that fired.

Source data

The normalized records used.

Raw record

The original line, untouched.

“If anyone asks how a number was calculated, a commission, a royalty, a rebate, you can show them. Every step.”

Bring your data. See it run.

Same engine. 90 to 97% cheaper than legacy ICM.

Guided Proof of Value →

The engine, the AI layer, the trace.