ICM
Commissions, quotas, attainment tiers, team bonuses
It unifies any source, calculates with verifiable precision and delivers intelligence by role. The same engine, with no domain assumptions.
It reads your sources, maps columns and proposes the structure.
Nothing runs until someone on your team confirms it.
100% deterministic calculation, auditable to the transaction.
Multi location finance operations, running on the same logic that calculates a commission.

Three agents on one core: Revenue interprets where income comes from, Compensation translates that into incentives, and Intelligence tells you the next move. AI proposes, your team approves, and the deterministic engine calculates, with 100% auditable accuracy.

The same calculation engine that powers ICM runs franchises, rebates, and restaurant operations without a single line of domain-specific code. If your business has rules, data, and outcomes to measure, Vialuce runs it. How the engine works → /technology.
Rotate your phone to see the engine in action
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.
Commissions, quotas, attainment tiers, team bonuses
Gross sales, royalty rates, minimum floors, co-op contributions
Volume tiers, growth incentives, quarterly targets
KPI scoring, tip pooling, performance classification
Multiple data sources, business rules that live in spreadsheets, and a team that spends weeks reconciling instead of deciding.
Paying $55–75 per payee for a system that took 6 months to implement, requires a consultant to change a rule, and still produces errors.
No IT project. No procurement cycle. You need proof it works, with your data, before you commit to anything.

These are not capabilities added to an existing platform. They are architectural decisions made on day one, which means no competitor can replicate them by shipping an update.
The same engine serves ICM, franchises, rebates, and restaurant ops. Zero domain-specific code. Every competitor is single-domain by design.
Three learning systems run in parallel: per customer, cross-customer, and per domain. None can be installed with a software update. It compounds with real use.
An always-on platform core, with three agents on top and domain specialists above them. AI interprets and maps, the engine calculates. The full how → /technology.
Three distinct learning systems running in parallel. Each compounds with every customer. None can be bought, only built.
Agents remember field preferences, plan patterns, and corrections. Each customer tunes its own isolated instance.
No raw customer data is shared between customers, and customer data never trains shared models. Only structural classification signals are used, for example which headers are dates. Every new customer starts smarter.
ICM, franchise, rebate, restaurant. Each domain accumulates its own body of knowledge, without touching the engine.
One guided session. Your real data. No IT team. No commitment.