Solutions / Evaluation areas
Four areas we evaluate.
Each brief describes how VantaCore AI would approach an evaluation, what a discussion needs, and what remains to be confirmed. None is an available offering.
Four evaluation areas
01 / AI productivity
AI applied to one workflow you can define, measure, and review.
How could AI improve a specific employee workflow without creating unreviewed risk?
- To confirm: Which workflow and which users are in scope
- To confirm: Which knowledge sources the workflow may read from
- To confirm: How access and permissions are enforced against those sources
02 / Cloud infrastructure
Infrastructure evaluation before a workload, not after.
What infrastructure constraints must be resolved before an AI workload can run responsibly?
- To confirm: Which cloud platforms and regions are in scope for your environment
- To confirm: Where the workload sits and who controls that boundary
- To confirm: The split of deployment and operational responsibilities
03 / Secure automation
Automation with the approvals and audit trail written in.
Which process can be automated with the oversight my organisation actually requires?
- To confirm: Which process, and where its boundary sits
- To confirm: The events that trigger it and the events that stop it
- To confirm: Where a human approval is mandatory
04 / Integrations
Connections that respect the boundaries you already enforce.
How will systems connect without bypassing our data boundaries?
- To confirm: Which systems connect, and in which direction data flows
- To confirm: The access model and the credentials each side requires
- To confirm: The API and data contract each side commits to
Engagement models / Proposed discussion
Three ways in. All start with a question.
These stages do not promise an engagement, deliverable, or operating service.
Evaluate / Proposed
Prove it on your workload first.
What baseline, evaluation set, and decision threshold would make the result useful?
Build / Proposed
Ship the first system with your team.
If approved, what ownership, integration, monitoring, and handover would be required?
Operate / Proposed
Keep it healthy once it is live.
If agreed, who would own regression checks, incidents, changes, and review cadence?
Start with the workload, not the demo.
Share a high-level problem and its constraints. Scope, timing, pricing, and availability remain to be agreed.