We help SMEs in Switzerland and Germany move from AI experimentation to productive operations. Our model combines business prioritization, technical implementation, and governance so results are measurable within weeks.
Most teams start tool-first. They run isolated tests, but without process design, ownership and governance, impact remains inconsistent.
The result is tool chaos, weak adoption and unclear value. AI readiness solves this by building the operating model first, then scaling proven use cases.
Baseline analysis across workflows, data sources, decision points and constraints. Prioritization by business impact, effort and risk.
Delivery of one high-value use case with clear acceptance criteria, KPI targets and operational ownership.
Role model, team onboarding and governance routines so adoption survives beyond the pilot phase.
Access control, data classification, auditability and approval logic aligned to your risk profile.
KPI framework for throughput, response time, quality and workload reduction.
Expansion roadmap from one validated use case to a repeatable delivery system.
We assess your process bottlenecks, data access, tooling, and team responsibilities. You get a prioritized roadmap linked to clear business KPIs.
Typical clients are SMEs with 10–80 employees that already use M365/Google but need a practical path from pilots to sustainable execution.
Classify, prioritize and pre-draft incoming communication with controlled escalation.
Standardize drafting, review and handover for faster and more consistent output.
Provide source-linked internal answers with role-based access and quality controls.
Best fit: service-oriented organizations (trust, real estate, IT services, advisory firms) with communication-heavy and admin-heavy processes.
Not a fit: teams looking only for isolated AI tools without process ownership or operational accountability.
Both. We combine strategic prioritization with hands-on implementation and team enablement.
Most clients see first measurable improvements in a 4–8 week pilot, depending on process complexity and data readiness.
Typically SMEs with 10–80 employees and operational teams that need faster, more consistent execution.
We design role-based access, data boundaries and governance controls before scaling any workflow automation.
No. We usually integrate into your current stack (e.g., M365/Google/CRM) and optimize process behavior first.
A prioritized roadmap, one production-grade pilot, KPI baseline, and a governance-ready operating model.