GAN Integrity is fundamentally changing how compliance leaders demonstrate program effectiveness. With the launch of AI Analytics and Dashboards, the platform provides compliance and third-party risk management (TPRM) teams with a purpose-built intelligence layer to measure, visualize, and prove their programs are working in real time.

New capability transforms compliance data into boardroom-ready answers — in plain language, on demand, without technical dependency

GAN Integrity, the leading platform for compliance and third-party risk management, today announced the launch of AI Analytics and Dashboards, a purpose-built intelligence layer that enables compliance and TPRM teams to measure, visualize, and prove the effectiveness of their programs in real time.

The launch addresses one of the most persistent challenges facing compliance leaders today: the inability to quickly and confidently answer the question boards, regulators, and executives are increasingly asking — “Is our program actually working?” — with data rather than description.

Until now, most compliance teams have relied on manual spreadsheet exports, static board decks, and IT-dependent dashboard updates to communicate program performance. GAN Integrity AI Analytics replaces that workflow entirely, giving compliance and third-party risk management teams direct access to live compliance and third-party risk data through natural language queries, customizable dashboards, and role-based views built for every stakeholder — from daily risk owners to the boardroom.

“Compliance leaders have spent years collecting the right data. What they’ve been missing is the ability to turn that data into answers — fast, clearly, and for whoever is asking,” said Helen Rosen, CEO of GAN Integrity. “With AI Analytics, we’re closing that gap. For the first time, a compliance team can walk into a board meeting, respond to a regulator, or prepare for an audit without a fire drill. They can show their program is working — not just say it. That shift from describing compliance to proving it is what this launch is about.”

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Compliance Intelligence Built for Practitioners, Not Data Teams

Unlike generic business intelligence tools or reporting layers bolted onto GRC platforms, GAN Integrity AI Analytics is built directly on the structured, governed data that compliance and TPRM teams already collect within the GAN platform. This means users can query their data in plain language and receive accurate, explainable outputs — without configuration expertise, technical intermediaries, or waiting on support.

Key capabilities of GAN Integrity AI Analytics include:

• Natural language querying — Users type questions in plain language and receive instant charts, summaries, and trend analyses drawn from live compliance and third-party risk data.
• Enhanced Self-service dashboard creation — Compliance and TPRM teams build, customize, and publish tailored dashboard views without code or BI expertise, on their own schedule.
• Role-based, governed access — Every stakeholder receives a view calibrated to their needs: executives see risk posture and program health; auditors see evidence and control performance; risk owners see their third-party portfolio.
• AI-guided field transparency — Intelligent prompting helps users understand available data fields, ensuring outputs are accurate, consistent, and defensible.
• Single source of truth — All analytics are grounded in GAN’s unified compliance and third-party risk data model, eliminating reconciliation and version-control issues that plague spreadsheet-based reporting.

Meeting the Moment: Regulatory and Board Pressure on Compliance Effectiveness

The launch comes as compliance teams face mounting external pressure to demonstrate program impact with data. The U.S. Department of Justice has placed greater emphasis on data-driven measurement of compliance programs as a marker of program effectiveness, while boards and executive leadership are demanding clearer visibility into third-party risk exposure and compliance ROI.

“The demand for measurable compliance outcomes is accelerating,” said Luis Nino, Principal Analyst at Verdantix. “Organizations that can demonstrate program effectiveness through real-time data — not periodic reporting cycles — are better positioned to satisfy regulatory scrutiny, respond to board inquiries, and make risk-informed decisions at speed. Platforms that bring AI-powered analytics directly to compliance practitioners, without requiring data science capabilities, represent a meaningful step forward for the GRC market.”