The next generation of Workiva GRC is Workiva’s new approach to governance, risk, and compliance—designed to help audit and risk leaders move from reactive compliance work to confident, insight-driven assurance.
It brings together audit, controls, and enterprise risk on a single, connected platform, enhanced with trusted, human-centered AI. The goal is simple: clearer visibility, less manual work, and greater confidence when reporting to leadership and the board.
Disclose with confidence. Decide with certainty.
One platform with governed AI, trusted data, and built-in assurance—for the moments when being wrong is not an option.
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THE WORKIVA PLATFORM
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Their words, not ours:
"I can say this is where we are right now, about how many controls we have, and how many risks we have. It has just saved us hundreds of hours over the years."
"The audit trail, inherent control environment, and change management functionality are invaluable. Being able to see from an audit perspective what has changed, when it’s changed, and having a built-in workflow to approve that change is really everything. From an executive perspective, being able to have a truly holistic enterprise-wide risk perspective is extremely important—and there’s a lot of excitement at the board level."
"Having a global team can be challenging. With the Workiva platform, we all have one centralized platform to use. We can streamline everything for our process owners, and it’s accessible 24/7—these are all major reasons that contribute to our team’s success with the application."
FAQs
See Workiva in action.
What is the next generation of Workiva GRC?
How is AI-powered GRC different from traditional GRC platforms?
Traditional GRC platforms were designed to manage workflows. AI-powered Workiva GRC is designed to elevate judgment.
In most platforms, AI is layered on after the fact—used for basic automation or surface-level insights. In AI-powered Workiva GRC, intelligence is embedded directly into the core of how audit, controls, and risk work gets done.
With the Workiva platform’s AI-powered GRC approach:
- AI helps reduce manual effort by analyzing data, documents, and evidence in context
- Insights are explainable, auditable, and grounded in trusted source data
- Humans stay in control, with AI supporting—not replacing—professional judgment
- Risk, controls, and audit insights are connected across the platform, not trapped in silos
The result isn’t just faster workflows. It’s clearer insight, stronger assurance, and greater confidence when communicating with stakeholders.
How does Workiva use AI in GRC?
The Workiva GRC platform is AI-powered, meaning intelligence is embedded into the foundation of the platform—not added later as a bolt-on feature.
From the start, Workiva AI was designed for high-stakes audit and risk work, where trust, transparency, and governance are non-negotiable. Rather than automating in isolation, AI is woven directly into core GRC workflows to support how teams actually assess risk, review evidence, and draw conclusions.
With an AI-powered approach:
- AI reduces manual effort by analyzing data, documentation, and evidence in context
- Insights are explainable, defensible, and fully auditable
- Human judgment remains central, with clear oversight and control
- Intelligence is grounded in trusted, connected source data across the platform
Because AI is embedded from the start, teams don’t just work faster—they work with greater clarity and confidence.
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Activate real-time insights for confident decision-making by connecting data to and across the Workiva platform.
Layer on governance and control
Maintain a complete audit trail from origin to outcome for unwavering trust in data and defensible decisions.
Mitigate risk
Stay ahead of your risk landscape and reduce uncertainty with a platform built for governance, risk, and compliance.
Collaborate with control
Use in-app comments, review tools, activity history, and blacklines to keep teams aligned.
Streamline cross-team workflow
Assign tasks, gather data, and automate work across financial reporting, sustainability, and GRC processes.
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