AI Execution
Let AI reason.
Let viax execute.
viax gives AI a governed place to act. Agents, ours or yours, work inside the same explicit rules as the people in the motion, and each action is traceable.
Where AI Lands
AI reasons.
viax executes.
ERP records.
Each layer does one job. Keeping reasoning and execution in separate layers is what lets AI move from a pilot into production.
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AI
Interprets intent, weighs options, and recommends the next step, working from the governed model rather than rules written into prompts.
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viax
Holds pricing, eligibility, approvals, and constraints as explicit rules, and runs each transaction against them. The same input produces the same outcome.
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ERP
Keeps the financial record. It stays clean, because the rules that change most often live in the execution layer, not in ERP.
No layer does another’s job.
Build Time
AI builds the model.
The model governs the AI.
Describe a change in plain language and AI models it inside viax: the rule, what triggers it, and where it applies. You approve it before it goes live. From then on, any agent acting on that motion runs under that rule.
Run Time
Agents act where the motion changes state.
A motion has a lifecycle. At each transition, a quote awaiting approval, a contract crossing a threshold, a renewal coming due, an agent can be called to evaluate, recommend, escalate, or resolve. It acts inside the model, not around it.
Bounded
Inside the rules, from the first call.
An agent can only do what the model allows its role to do, the same limits a person in that step has.
Traceable
Each call leaves a record.
What the agent evaluated, what it returned, and what changed, tied to the rule that applied.
Any transition
Wherever an agent adds value.
Approvals, amendments, pricing exceptions, entitlement changes, renewals.
Any Agent
Our Agents or yours.
Same rules as everyone else.
viax exposes governed execution through MCP and a typed GraphQL API. An agent you build, buy, or already run can read the model and act on it as a participant, with the same permissions and limits as a rep, a partner, or a CSR.
An agent is a participant, not an exception.
Production-Grade
Small enough for AI to learn. Strict enough for AI to trust.
viax runs any revenue motion on three patterns. An agent learns three ways of modeling, not a thousand endpoints, and each outcome it triggers is deterministic and traceable.
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Interactions
What happens, in what order, with whom.
rep → approver → order
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Decisions
Given this context, what’s the governed answer.
tier 2 → price book B
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Constraints
Given these rules and choices, what’s valid.
seats · term · bundle ✓
Deterministic
The same input produces the same execution, so an agent’s request has one governed answer.
Auditable
Each action is tied to the rule that allowed it, readable by compliance, finance, and operations.
Discoverable
A typed GraphQL API and MCP, so an agent can find what it’s allowed to do without custom integration.
Outside ERP
Agents act in viax. ERP records the outcome.