{"id":320,"date":"2026-02-13T11:18:02","date_gmt":"2026-02-13T10:18:02","guid":{"rendered":"https:\/\/website-9052df93.ogh.wrc.mybluehost.me\/?page_id=320"},"modified":"2026-10-05T11:54:09","modified_gmt":"2026-10-05T09:54:09","slug":"home","status":"publish","type":"page","link":"https:\/\/poliversum.org.pl\/en\/","title":{"rendered":"Operational AI Validation & Compliance \u2013 Poland \u2022 EU \u2022 Worldwide"},"content":{"rendered":"\n
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POLIVERSUM Foundation \u00b7 AI Assurance & Operational Validation<\/span>

Operational AI validation and compliance Poland<\/span>European Union<\/span>Worldwide<\/span><\/span><\/h1>

Evidence, procedures and tests that accelerate the decisions of regulators, contracting authorities and risk committees. We deliver independent validation of AI systems for public administration, regulated institutions and organisations entering the European Union market.<\/p>

Book a free briefing<\/svg><\/a>Explore our services<\/svg><\/a><\/div>
<\/i>AI Act (EU) 2024\/1689<\/span>ISO\/IEC 42001<\/span>NIST AI RMF<\/span>NIS2 \u00b7 GDPR<\/span><\/div><\/div>
<\/i><\/i><\/i><\/span>Evidence Pack \u00b7 example<\/span><\/div>
Test coverage<\/span>86%<\/span><\/div>
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Documentation compliance<\/span>92%<\/span><\/div>
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Risks addressed<\/span>78%<\/span><\/div>
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Audit readiness<\/span>High<\/span><\/div>
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5<\/b>methodology stages<\/span><\/div>
4<\/b>validation areas<\/span><\/div>
1<\/b>evidence pack<\/span><\/div><\/div>
<\/svg>Inspection-ready<\/div><\/div><\/div><\/div><\/div><\/span><\/section>\n\n\n\n
0<\/b>services in our catalogue \u2013 from system validation to the EU Market Entry Program<\/span><\/div>
0<\/b>methodology stages, each concluding in an Evidence Pack<\/span><\/div>
0<\/b>source documents in the regulatory sandbox knowledge taxonomy<\/span><\/div>
0<\/span>min<\/small><\/b>free introductory briefing for institutions<\/span><\/div><\/div><\/div><\/section>\n\n\n\n
Scope<\/span>

What we validate<\/h2>

Four areas that determine whether an AI system can be safely deployed, procured or placed on the market \u2013 and defended before a regulator.<\/p><\/div>

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AI system<\/h3>

Functional testing, risk assessment and compliance with the AI Act and sector standards. Verification of models, data pipelines and decision logic.<\/p>AI System Validation<\/svg><\/a><\/article>
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Data<\/h3>

Quality, representativeness, provenance and GDPR compliance. Audit of the training and validation datasets used in AI systems.<\/p>Data Audit & Governance<\/svg><\/a><\/article>
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Operational processes<\/h3>

Deployment, monitoring and human oversight procedures. Verification of operational readiness and contingency plans.<\/p>Operational Assurance<\/svg><\/a><\/article>
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Governance and compliance<\/h3>

AI governance frameworks, policies, roles and accountability. Readiness for regulatory inspection and external audits.<\/p>Governance Framework<\/svg><\/a><\/article><\/div><\/div><\/section>\n\n\n\n

Engagement<\/span>

Three engagement paths<\/h2>

Choose the situation that describes your institution \u2013 each path leads to a defined next step.<\/p><\/div>