AI Governance for Organizations Deploying AI in Real World Operations

Organizations are increasingly expected to explain how AI systems are selected, reviewed, monitored, and governed.

Novara helps organizations assess governance practices, evaluate vendor risk, strengthen oversight structures, and prepare for increasing governance, procurement, and accountability expectations surrounding AI.

Most Organizations Can Point to Policies.
Far Fewer Can Demonstrate Governance.

AI systems are being adopted across operations, healthcare, finance, hiring, customer service, and decision-making workflows.

The challenge is not recognizing that governance matters. The challenge is proving that governance exists in practice.

Governance Questions

Governance Questions Are No Longer Theoretical

What AI systems are currently being used?

How were those systems approved?

How are vendors evaluated?

Who reviews outputs and decisions?

What documentation exists today?

Who is accountable for oversight?

Can governance practices withstand review?

Most organizations are not struggling because they lack policies. They are struggling because they lack answers.

How Novara Helps

How Novara Helps Organizations Prepare

Governance Assessments

Evaluate governance practices, documentation, oversight structures, and organizational readiness.

Vendor Risk Reviews

Assess third-party AI systems, vendor claims, documentation, and accountability processes.

Regulatory Readiness

Prepare for increasing governance, documentation, and accountability expectations.

Governance Framework Design

Build oversight structures, governance processes, escalation paths, and documentation workflows.

Executive Advisory

Support leadership teams making governance, oversight, procurement, and risk decisions.

Who We Serve

Built for Organizations Where AI Risk Has Business Consequences

  • Healthcare organizations
  • Financial services organizations
  • Technology companies and startups
  • Public sector and mission-driven organizations

Healthcare AI Governance

Healthcare AI Governance

Healthcare organizations face increasing expectations around AI oversight, privacy, accountability, clinical decision support, procurement review, documentation, and vendor governance.

Novara helps healthcare organizations strengthen governance practices before those expectations become operational, regulatory, procurement, or reputational challenges.

Explore Healthcare AI Governance

When Organizations Work With Novara

When Organizations Work With Novara

Implementing AI tools without a documented governance process.

Reviewing AI vendors and third-party technologies.

Preparing for questions from procurement teams, enterprise customers, boards, investors, or regulators.

Building AI governance policies and needing support with implementation.

Operating in sectors where accountability, oversight, and documentation requirements are increasing.

Founder-Led

Riham Hashi

Founder & CEO

Master in Law, University of Pennsylvania Carey Law School

Master's Degree in Public Policy and International Affairs, American University

Her work focuses on AI governance, regulatory accountability, and institutional readiness, informed by legal scholarship, public policy, and governance research.

Research & Affiliations

Grounded in Penn's Legal and Innovation Community

Novara's work is informed by legal scholarship and engagement across Penn Carey Law, the Penn Center for Innovation, and the Wharton Venture Lab.

Governance Questions Rarely Arrive With Warning

Organizations are increasingly expected to demonstrate not only that policies exist, but that governance practices exist.

Novara helps organizations prepare before governance challenges become operational, procurement, regulatory, or reputational issues.

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