Wirecard whistleblower Pav Gill launches new AI governance, risk and compliance platform
Confide will give users a shared environment for GRC good practice
Wirecard whistleblower Pav Gill has launched a new agentic governance platform bringing governance, risk and compliance (GRC) into one system to end reliance on a “patchwork of disconnected point solutions”.
Confide will give professionals a shared environment in which to set the standard for how GRC should run and put it into practice with AI agents, all while retaining full human oversight. It is designed to govern not only people, but also the AI agents that increasingly work alongside them.
The system was built from his lived experience of the Wirecard scandal and his prior career as a general counsel working with legacy GRC software. Confide has been actively setting the standard for improved corporate governance since 2024, and this latest product iteration develops its capabilities further.
The Wirecard scandal saw top executives fabricate billions in non-existent revenue and cash reserves as part of a decade long accounting fraud, which collapsed in 2020 over a missing €1.9bn.
Lax corporate governance and fragmented data have long been issues within scaling enterprises and large corporations, with news reports of whistleblowing allegations, HR cases and occupational fraud on the rise.
In August, KPMG made headlines over its handling of a whistleblower who alleged that confidential client information had been improperly shared within the firm’s Australian audit division to help win audit contracts from rival companies.
Confide brings case management, policy, risk and audit into one platform, with workflows for third-party risk, incident response, health and safety, law enforcement requests and AI governance. Policies, risks, cases, people, vendors and decisions connect in a single live governance record.
When an issue arises, teams can see what happened, who or what was involved, what informed each decision and what action followed, without reconstructing the story across systems.
The same model governs AI agents: businesses set which tasks agents can perform, where human approval is required and when people can step in. Agents handle routine administrative work while humans keep control of consequential decisions. Every action, by a person or an agent, is recorded in a defensible audit trail.
The platform is model-agnostic, with AI integrations designed to work with different models and existing ways of working. Teams can adopt its capabilities within the processes they already use, instead of overhauling their standard operating procedures to adapt to a new tool.
Pav Gill, founder and chief executive at Confide, said: “Businesses have spent years paying extortionate amounts for software that still leaves their people piecing together the events of internal incidents.
“When a serious concern arises, nobody should have to search across multiple systems to work out the individuals involved and how they handled the situation. Legacy GRC tools were never built for a world where billions of AI agents will help run companies, with humans in the loop. We built Confide to allow professionals to defensibly manage and audit trail critical issues from start to finish, whether those issues involve people, AI agents or both.”


