AI resident in your environment
Deployment in your environment, subject to technical capacity. Scoping covers models, infrastructure, operations, updates and data access.

COPERNIC designs custom AI around your processes and SAP landscape. We start with a concrete task: finding reliable information, preparing an analysis, supporting data migration or assisting a system upgrade.
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A useful assistant needs a defined scope, supporting sources and a clear handoff when a human decision is required. We first identify users, authorised documents, access rules and acceptance criteria.
Deployment in your environment, subject to technical capacity. Scoping covers models, infrastructure, operations, updates and data access.
A project service with agreed document scope, access rules, retention and responsibilities. Hosting and any model providers are disclosed before activation.
An architecture selected for your constraints, potentially hybrid. Location, outbound flows, operating cost and maintenance guide the decision.
Carve-in / carve-out, data migration, OSS note monitoring and SAP upgrade assistance. Required SAP rights, checks and approvals are agreed with your team.
COPERNIC combines business expertise, understanding of SAP modules and technical delivery. Scope is agreed with the teams who will use and maintain the solution.
Describe the task, expected output, error cases and a representative evaluation set. Establish a baseline before discussing improvements.
Select authorised sources, check quality and assign reviewers. RAG retrieves this material to support answers; conversations do not automatically become trusted knowledge.
Test answers, citations, appropriate abstention and access boundaries. Sensitive actions retain human approval.
Measure usage and errors, cache reusable answers and reserve more expensive models for questions that warrant them. Review sources and budget against real usage.
We agree the scope and acceptance criteria at the start of the engagement, based on your landscape and priorities.
This depends on the architecture. Client-resident AI, COPERNIC hosting and a project-specific setup are available options. Data flows and providers are examined before activation.
Capabilities depend on the mandate and granted rights. Reading, proposing an action and executing it are separate capabilities. Approval and traceability are defined before write access.
Start with useful tasks and sources, measure volume, set spending limits, reuse still-valid answers and compare models on the same evaluation set. Observed quality matters alongside price.
One task, authorised sources and a representative evaluation set.
Source map, evaluation criteria and hosting options.
Scope, access, schedule and fees are agreed together before starting. No fixed duration or outcome is implied.
Scope this first step →Explore an interactive example ↗