Sivispa

This foundational service maps your current exposure to U.S.-controlled digital infrastructure (e.g., AWS, Azure, GCP, Salesforce, Google Workspace) and classifies risk according to legal, operational, and data-sensitivity vectors. Outputs include a Sovereignty Risk Index, Prioritized Threat Matrix, and a Migration Playbook highlighting EU-aligned alternatives.

BUSINESS VALUE

Short-term: Urgent compliance risks under GDPR, Schrems II, AI Act and upcoming EU Data Act require immediate visibility. Clients are unaware of their legal exposure until breaches, audits, or contracts trigger scrutiny.

Medium-term: Enables legal and IT teams to proactively budget and plan for phased migration without business disruption.

Long-term: Creates baseline benchmarks for regulators and insurers as sovereign-compliance becomes a competitive differentiator.

We deliver domain-specific AI models tuned for typical mid-market needs—finance forecasting, fraud detection, HR optimization, logistics predictions, document classification, etc.—with GDPR compliance, explainability, and human-in-the-loop mechanisms built-in. Our solutions includes: Lifecycle tuning and Performance Monitoring, Rapid Customization, Regulatory-ready Documentation (e.g., AI Act compliance)

BUSINESS VALUE

Short-term: Mid-size companies are under pressure to adopt AI but lack in-house capability or regulatory clarity. Quick wins (e.g., invoice classification, churn prediction) are achievable in weeks.

Medium-term: These models become strategic assets—generating data, insights, and decision automation that differentiate operations.

Long-term: As the EU AI Act takes effect, only compliant, auditable, explainable models will be deployable. Sivispa future-proofs clients with models ready for upcoming audits.

This service designs the technical and operational scaffolding needed to run, govern, and scale AI within EU constraints. It bridges IT architecture, data governance, and organizational process readiness—without requiring full system overhauls. Outputs include: Internal Capability Assessments and Skill Gap Mapping, Architecture Blueprints, Data Classification and Flow Mapping, Security and Model Deployment Guidelines.

BUSINESS VALUE

Short-term: Prevents chaotic AI experimentation, ensuring new models won’t fail due to lack of infrastructure, data, or process clarity.

Medium-term: Establishes a scalable, compliant foundation for broader AI integration.

Long-term: Enables seamless transition to sovereign infrastructure in with minimal duplication or business disruption.

A structured program to reduce dependence on U.S. Big Tech through Workload Analysis and Decoupling Prioritization, Migration Planning to EU-Aligned Providers (e.g., OVH, Scaleway, Nextcloud), Hybrid Cloud Transition Frameworks, Multi-phase implementation with rollback and risk controls.

BUSINESS VALUE

Short-term: Some clients must immediately move sensitive workloads off U.S. cloud (e.g., due to legal action, public contracts, or M&A).

Medium-term: Reduces exposure to U.S. law, improves GDPR defensibility, and prevents future lock-in.

Long-term: Aligns digital operations with Europe’s evolving regulatory and industrial strategy—becoming a selling point, not just a risk.

Executive and board-level advisory focused on the strategic, legal, and geopolitical implications of AI, data, and digital operations. Delivered via Quarterly Regulatory Horizon scans, Scenario Modelling for AI Act, DORA, GDPR Evolutions, Public Sector and Trade Association engagement strategies.

BUSINESS VALUE

Long-term: Builds institutional readiness as AI governance becomes as important as financial or ESG governance.

Short-term: Helps boards and CxOs justify AI investments and anticipate compliance obligations.

Medium-term: Enables informed positioning in procurement, M&A, and investor narratives.