Shadow adoption is already happening
Teams use personal or fragmented AI accounts, while security and leadership lack a common inventory, usage boundary and migration plan.
Claude Enterprise · Consulting & integration · Switzerland
Numezis helps Swiss organizations evaluate, configure and scale Claude Enterprise across knowledge-intensive work. We connect identity, data access, policy, integrations and adoption to a measurable operating model — with senior advisory and engineering in one team.
Decision thesis
The decision is not whether employees like Claude. It is whether the organization can govern what Claude can see, do and change — and prove the value of that access.
Enterprise fit
We intervene when the challenge has moved beyond licenses and prompts into information governance, workflow design and responsible scale.
Teams use personal or fragmented AI accounts, while security and leadership lack a common inventory, usage boundary and migration plan.
The organization wants grounded assistance across documents and systems without flattening source permissions or exposing confidential context.
Usage is increasing, but there is no baseline for cycle time, quality, rework or risk — and therefore no defensible return on the program.
What we deliver
Our work combines executive decision design, enterprise configuration, technical integration and measurable adoption. Each workstream produces an explicit operating artifact.
Map workflows, information classes and adoption conditions; benchmark Claude on representative tasks and failure modes.
Opportunity portfolio · evaluation setDesign ownership, SSO and provisioning approach, roles, retention choices, acceptable-use boundaries and evidence requirements.
Control baseline · RACIConnect approved knowledge and tools while preserving source permissions, provenance, review and revocation paths.
Integration architecture · trust mapTrain by workflow, instrument meaningful usage and compare operational outcomes against a pre-deployment baseline.
Adoption system · value dashboardArchitecture-first
The product controls are only one layer. Enterprise readiness depends on how they interact with identity, source systems, human review and operational evidence.
Domain ownership, user lifecycle, roles and separation between personal and managed work.
Information classification, connector permissions, retention and source-level access.
Tools, MCP servers, write permissions, approvals and reversible execution.
Evaluation, audit signals, incident ownership, adoption and measurable workflow outcomes.
Engagement output
A typical engagement is delivered in transparent time and materials with named senior profiles and a rolling roadmap.
Relationship transparency
The Anthropic name and logo identify a technology we evaluate and implement. They do not imply an announced partnership, certification or endorsement. Any formal status will be stated only after public confirmation by the provider.
FAQ / Claude
Numezis is advancing technology partnership discussions across its provider ecosystem. Until a provider approves and publicly confirms a relationship, we present ourselves as an independent Claude implementation advisor — never as an officially announced Anthropic partner. Our implementation experience and our partner status are deliberately described as two different things.
An integrator should do more than provision seats. The work includes workflow selection, identity and access design, data classification, connector architecture, policy, evaluation, user enablement, incident paths and value measurement. Numezis combines those advisory and engineering responsibilities in one delivery team.
Yes. We run workflow-level evaluations against the same tasks, data constraints and quality criteria. The result is a documented decision that considers capability, integration, security, economics and reversibility — including a multi-platform architecture when that is justified.
Yes. Numezis delivers in French and English across Switzerland. Policies, executive decisions, training and technical artifacts can be produced in the language used by the operating team.
Prepare · Govern · Engineer · Realize
Bring us the workflows, information boundaries and adoption constraints. We will make the architecture, controls and first value gates explicit.
Discuss your platform decision