FAQs

Integrate privacy-by-design, risk assessments, and policies for data use and model outputs.

Base your choice on use cases, data flow, and operational needs — avoid lock-in and favor open standards.

Yes — for responsibility, risk, ethics, quality, and compliance, especially with generative AI and GDPR.

We help you understand what data you already have and what’s missing to succeed with AI.

PoV proves business value, PoC proves technical feasibility — both are essential.

Assess value, feasibility, risk, and data — start small but close to business value.

Workshops, current state analysis and a roadmap – Softhouse helps you turn AI goals into a concrete plan.

To avoid ad hoc projects and ensure alignment, measurable impact, and the right investments.

A practical plan for how AI creates measurable business value — from goals and use cases to data, technology, and governance.

We combine deep technical expertise with business understanding — small teams, fast PoV delivery, and real impact in production.