Ownership and support contacts
Run the environment yourself, ask Verixa to manage it, or share responsibilities. Before launch, agree on access, application ownership, the support contact and how to track issues.
Contact sales Delivery & operations
Introducing AI also means preparing data, connecting systems and maintaining the environment. Verixa pairs engineers with AI tools to validate applications, integrate them and resolve issues after launch alongside your IT team.
How would IDP handle the purchase order on your desk? Could you ask AI Workspace which supplier offers the shortest lead time without reading every contract yourself? Bring your own documents and questions to an IAFC session, in person or online.
The IAFC is where you can try private AI with a Verixa engineer before choosing software or equipment. Import a purchase order and see the item names and quantities IDP picks up. Then ask AI Workspace to compare delivery terms across your supplier contracts and check its answer against the clauses it cites.
For a proof of concept (PoC), you and the engineer agree on what a successful result would look like, then test the application, model and hardware together. Time a batch of orders or see how quickly searches return when several colleagues use the system at once. The results help you decide whether your existing equipment is sufficient. You can run the same tests again before sign-off. Partners can also take part in validation and technical training.
Verixa’s forward deployed engineer (FDE) works with your staff and IT to bring IDP or AI Workspace into daily use. Agentic AI follows agreed rules to compare records, flag differences and prepare a review list.
Test with a Verixa engineer: can IDP reduce manual data entry? Can AI Workspace find answers across documents and cite its sources? AI agents help organize test results so you can assess the improvement.
Verixa engineers help set up access and workflows so staff can review data extracted by IDP or search company documents with AI Workspace. AI agents help compare records and flag items for review.
When document layouts or knowledge sources change, AI agents help gather affected extraction results, questions and citations. Verixa engineers use that evidence to adjust and retest the application as your needs evolve.
When a batch slows down, is the GPU overloaded or did an application update change performance? The Agentic Service Layer tracks GPUs, hosts, IDP and AI Workspace. AI agents bring logs and version changes together so engineers can identify the cause.
Track GPU load and host resources. When users report a slowdown, engineers compare device status with application logs from the same period.
Before changing a model, software version or business rule, engineers test representative cases. The engineering team and customer owner agree on significant updates.
Keep configuration and update records and track actual results to support maintenance and troubleshooting.
Run the environment yourself, ask Verixa to manage it, or share responsibilities. Before launch, agree on access, application ownership, the support contact and how to track issues.
Standard support is available during regular business hours. Discuss around-the-clock coverage or a defined response SLA if your operation requires it.