Stop the busywork and start managing risk

Most GRC teams are running on a treadmill of manual data entry and status chasing, leaving almost no time for actual risk strategy. We’ve rounded up our latest insights to help you break that cycle, from leveling up your GRC maturity to using AI that actually solves problems instead of creating new ones. It’s time to move past reactive busywork and start working for the win.

Why GRC Teams Are Stuck Doing Busy Work Instead of Managing Risk

Fragmented tools and manual processes quietly stall GRC growth, forcing teams to handle data manually and increasing the chance of errors. When 92% of organizations use three or more tools for audit evidence alone, administrative friction becomes an inevitable barrier to delivering strategic value. Learn how to reframe your workflows around risk signals so you can focus on higher-value work.

Reduce the Friction

AI in GRC: How to Separate Practical Value From Vanity Features

While 53% of risk professionals are testing AI, many find themselves stuck with "vanity features" that don’t solve real GRC problems. Practical AI should deliver measurable outcomes, like context-aware risk analysis and automated evidence collection that maintains full auditability. Look beyond the hype to find tools that deliver measurable outcomes.

See Practical AI

Why Secure, Built-In AI Matters More Than Standalone AI Tools in Modern GRC

Using standalone AI tools creates governance gaps by moving sensitive data outside your core GRC systems. Built-in AI shifts the equation by working directly within your existing permissions and data structures to ensure every output remains traceable and auditable. Secure your compliance program by choosing AI that reinforces your existing workflows instead of fragmenting them.

Get the AI Guide

A Practical Guide to GRC Maturity Models (with Real-World Examples)

Maturity models help you understand where your organization stands and what to prioritize next. From chaotic ad hoc processes to innovation-focused continuous improvement, we break down what each of the five stages looks like in the real world. Use this guide to translate abstract guidelines into actionable recommendations for your business.

Check Your Maturity

Principles of the COSO Framework

The COSO framework provides a clear structure for designing internal control systems that manage risks and prevent fraud. We outline the 17 principles across five interconnected components to help you establish a secure foundation for your reporting and compliance goals. Understand how COSO works in practice to avoid the steep financial and reputation costs of internal control errors.

Master the Principles

ATC Incident Case Study

American Transmission Company (ATC) moved away from fragmented spreadsheets to create a single source of truth for safety insights. By centralizing corrective actions in Onspring, they improved transparency across departments and strengthened accountability for safety risks. See how a unified issues management process provided the foundation for data-driven safety results.

Read Their Story

Build a Better Audit Plan E-book

Audit teams are under pressure to deliver deeper insight while relying on outdated planning processes and disconnected tools. This e-book shows how modern audit planning helps teams move toward risk-driven, insight-focused auditing. Learn how automation and AI can prioritize risk areas and shorten your audit cycles.

Download the E-book