Responsible AI

Our Commitment

Pragniv AI builds systems that make or influence consequential decisions inside large enterprises. We believe that responsibility, not just capability, determines whether AI creates durable value — so governance is designed into every accelerator from day one, not added after deployment.

Governance Framework

Every client engagement is reviewed against a standard governance framework covering data provenance, model risk classification, and approval workflows appropriate to the decision's impact — informed by common industry frameworks including the NIST AI Risk Management Framework and ISO/IEC 42001.

Human Oversight

Autonomous and agentic systems we deploy include human-in-the-loop checkpoints for high-impact decisions. Clients retain configurable control over which actions a system may take automatically versus which require human sign-off.

Fairness & Bias Mitigation

We evaluate models for disparate impact across relevant populations during development and monitor for drift in production, using both automated tooling and periodic manual review.

Transparency & Explainability

Where models inform consequential decisions, we prioritize approaches that support explainability, and we document model behavior, limitations, and intended use so client teams can assess outputs with appropriate context.

Data Privacy & Security by Design

Client data is handled under the access controls, encryption standards, and retention policies defined in each engagement's data processing terms, following industry-standard security practices.

Model Monitoring & Accountability

Production models are continuously monitored for performance degradation, drift, and anomalous behavior, with defined escalation paths and named accountable owners on both the Pragniv and client sides of each engagement.

Client Collaboration

Responsible AI is a shared responsibility. We work with each client's legal, risk, and compliance stakeholders to align our governance practices with their internal policies and applicable regulatory requirements.

Reporting Concerns

If you have a concern about the behavior or impact of a Pragniv AI system, contact responsible-ai@pragniv.ai and our governance team will review it.