Step 1
Deterministic engine
The engine applies your rules exactly. Same input, same result, every time. No models in the calculation path; every number opens down to the transaction that produced it.
How it works inside: what AI does, what it does not, and how every number is defended.
Step 1
The engine applies your rules exactly. Same input, same result, every time. No models in the calculation path; every number opens down to the transaction that produced it.
Step 2
AI reads plans in natural language, maps and normalizes your sources, and flags anomalies. It proposes; your team approves. It never touches the math.
Step 3
Once the number is calculated, AI analyzes the results and surfaces the next move that pays the most, concentration risk, and per-seller coaching.
Composable engine
Commissions, royalties, rebates and operations are built from the same business blocks. A new rule composes on the existing engine, without patches or hidden logic.
Ingestion and normalization
Excel, ERP, CRM, flat files and APIs map into a consistent structure. AI proposes field mappings and your team validates them before calculation.
Security
Each organization runs in its own isolated space, with no data crossing between them.
Access control
Encrypted data and role-based permissions.
Traceability
Open the total, the rule applied, the conditions triggered and the records used. The path ends at the original transaction, with no missing steps.
Every component shows how it pays, under which conditions and from which transactions.
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.
Rotate your phone to see the diagram
Your files, your CRM and your ERP, exactly as they are today.
It reads, maps and flags anomalies. It never calculates.
Deterministic rules: the same input always gives the same output.
Every number traces back to its source, layer by layer.
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.
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.
Every new plan, every new rule, assembled from the same business rules. Not patched. Not coded.
Same input always produces the same output. Auditable, reproducible, defensible in front of any CFO.
Reconciled line by line against your current system during the Guided Proof of Value. Reproducible across runs.
Reads compensation plans as written. Extracts components, tiers and rates, in any language.
Maps source data to plan fields automatically. Closed-loop learning from corrections.
Flags outliers and structural inconsistencies before they reach a payout.
Persona-adapted suggestions: communication style, risk signals, conversation context.
Excel, ERP, CRM, flat files, APIs. Bring what you have.
Field mapping handled automatically by the AI layer.
Refreshes near-real-time with prior-business-day information. Not streaming, but not last week's either.
Each organization runs in its own isolated space, with no data crossing between them.
Encrypted data and role-based permissions.
“If anyone asks how a number was calculated, a commission, a royalty, a rebate, you can show them. Every step.”
Same engine. 90 to 97% cheaper than legacy ICM.
Guided Proof of Value →