AI governance solutions for safe, compliant, and transparent adoption

Donor and member data must be handled responsibly. We implement governance controls in CRMs and fundraising platforms to automate consent management, prevent bias in donor segmentation, and provide audit-ready reporting for stakeholders and funders.

Universities and colleges rely on student and research data. We embed FERPA-compliant governance into LMS and CRM platforms, supporting explainable course recommendations, monitoring data usage, and ensuring accessibility in AI-powered student services.

Membership systems and mobile apps process sensitive personal data. We add governance layers to Daxko, CMS, and CRM integrations, including automated privacy compliance, secure data retention policies, and transparent recommendation systems for member engagement.

Ticketing and donation systems like Tessitura and TNEW need transparency and compliance. We implement governance solutions that handle donor consent, monitor AI-powered recommendations for fairness, and generate compliance reports for boards and patrons.

AI in healthcare demands HIPAA-grade governance. We deliver audit logs, bias monitoring, and explainability dashboards for patient intake, scheduling, and clinical support systems, ensuring compliance with HIPAA and other healthcare regulations while maintaining patient trust.

Rapid AI adoption comes with scaling risks. We help startups establish lightweight but scalable governance – from bias checks in MVP features to consent flows and compliance reporting – so growth doesn’t compromise trust or future regulatory requirements.

Personalization and predictive analytics must be compliant and fair. We integrate governance into storefronts and CRMs to enforce GDPR consent, detect bias in recommendations or pricing, and provide traceability for fraud prevention and transaction monitoring.

Large enterprises face complex regulatory and reputational risks. We integrate enterprise-scale governance platforms, configure cross-system audit logs, and set up monitoring pipelines that make AI usage compliant, explainable, and aligned with corporate governance standards.