Pricing

Scoped around the workflow, not a generic AI package.

AI XVantage starts with an AI workflow audit because useful pricing depends on the workflow pressure, integration depth, risk profile, and adoption path. The first step is designed to define fit before a larger build is proposed.

Engagement model

A practical path from open-ended AI interest to a scoped system.

This model keeps the first commitment focused and avoids selling a build before the workflow is understood.

Workflow audit

A focused discovery engagement to map workflows, assess readiness, rank opportunities, and define the safest first build.

Implementation scope

A scoped roadmap or build proposal based on workflow complexity, data access, integrations, governance needs, and adoption effort.

Governed build

Custom agents, automations, and human-in-the-loop workflows are built only after the priority, owner, and success criteria are clear.

Fit criteria

Best suited for serious teams with workflow pressure.

AI XVantage is a better fit when the buyer wants clear operating leverage and is ready to expose enough context to scope a useful system.

A recurring workflow creates measurable drag for leadership, marketing, sales, operations, or client service.
The team can identify the systems, data, people, and review points involved in the workflow.
There is a clear owner who can approve scope, provide context, and help test real scenarios.
The goal is production-grade leverage, not a one-off prompt demo or generic AI tool recommendation.