Webinar Description
Key Takeaways
- Diligent previews its forthcoming Risk & Audit Agents and AI Reporting capabilities scheduled for September release
- New agentic workflow tools include Risk Maestro, Risk Agent, Audit Agent, and ACL AI
- Designed for GRC leaders, risk managers, internal auditors, and compliance professionals
- Addresses operational challenges around manual processes, resource constraints, and delayed risk response
- Focuses on AI-driven automation for risk identification, audit planning, and compliance reporting
Introduction
Diligent is hosting a webinar titled “What’s New with Diligent Risk & Audit: The Rise of Agentic GRC” to preview its upcoming suite of AI-powered tools for governance, risk, and compliance professionals. The session targets risk managers, internal auditors, and compliance leaders working within mid-to-large enterprises who are seeking to modernise their assurance functions. With organisations facing mounting pressure to deliver faster, more comprehensive risk oversight while managing constrained resources, the introduction of agentic workflows represents a significant development in how GRC technology can support operational efficiency and strategic decision-making.
About This Event
This virtual webinar is led by Diligent product experts and provides an advance look at capabilities scheduled for release in September. The session focuses on demonstrating how intelligent agents can be embedded within risk management and internal audit workflows to reduce manual intervention and accelerate response times. Rather than presenting theoretical concepts, the webinar aims to show practical applications of the technology within existing GRC processes.
The format is designed to give attendees direct insight into product functionality before general availability, allowing organisations to assess how these tools might integrate with their current risk and audit operations.
Agentic Workflows and AI-Driven GRC Automation
The central theme of the webinar is the concept of agentic workflows—a term describing AI systems capable of executing multi-step tasks with minimal human oversight. In the context of GRC, this represents a shift from tools that merely assist human operators to systems that can independently perform routine risk identification, assessment, and documentation tasks.
Diligent’s approach incorporates several distinct components. Risk Maestro serves as an orchestration layer that coordinates activities across the risk management lifecycle. Risk Agent handles automated risk identification and assessment, while Audit Agent focuses on audit planning and documentation. ACL AI provides analytical capabilities for data interrogation and pattern recognition. Together, these tools are designed to function as an integrated system rather than isolated point solutions.
The AI Reporting functionality addresses a persistent challenge in GRC operations: the time required to synthesise risk and audit data into actionable intelligence for leadership. By automating report generation and analysis, organisations can potentially reduce the lag between data collection and decision-making.
Operational Challenges in Modern Risk and Audit Functions
Internal audit and risk management teams have long operated under resource constraints that limit their ability to provide comprehensive assurance coverage. Traditional approaches rely heavily on manual processes for risk assessment, control testing, and documentation—activities that consume significant time and often result in audit cycles that struggle to keep pace with rapidly evolving business conditions.
The challenge is compounded by expanding regulatory requirements and the increasing complexity of enterprise risk landscapes. Organisations must now monitor a broader range of risk categories, from cybersecurity and third-party exposure to environmental and operational risks, while stakeholders expect faster and more granular visibility into risk positions.
These pressures have created demand for technology that can extend the reach of existing teams without proportional increases in headcount. Agentic GRC tools represent one response to this challenge, offering the potential to automate routine tasks while freeing human professionals to focus on judgment-intensive activities such as risk interpretation and strategic advisory.
The Evolution of AI in Governance, Risk, and Compliance
The application of artificial intelligence within GRC has progressed through several phases. Early implementations focused on data analytics and pattern detection, helping auditors identify anomalies in large datasets. Subsequent developments introduced natural language processing for policy analysis and automated control monitoring.
Agentic AI represents the next stage in this evolution. Unlike earlier tools that required explicit human direction for each task, agentic systems can interpret objectives and execute sequences of actions to achieve them. In practical terms, this means an Audit Agent might receive a high-level instruction to prepare for an upcoming audit engagement and then independently gather relevant documentation, identify key risks, and draft preliminary audit programmes.
This capability has significant implications for how GRC functions are structured and staffed. While human oversight remains essential for quality assurance and strategic direction, the division of labour between human professionals and AI systems is shifting toward a model where routine execution is increasingly automated.
Who Should Attend
The webinar is designed for professionals with direct responsibility for risk management, internal audit, or compliance operations. Relevant roles include Chief Risk Officers, Heads of Internal Audit, Audit Managers, Risk Analysts, and GRC Technology Leads. The content assumes familiarity with established risk and audit methodologies and focuses on how emerging technology can enhance existing practices.
Organisations with mature risk and audit functions will find the session most relevant, particularly those already using or evaluating GRC platforms and seeking to understand how AI capabilities are developing within this market segment. The webinar may also interest technology and operations leaders responsible for digital transformation initiatives within assurance functions.
Practical Considerations for AI Adoption in GRC
The introduction of agentic tools into risk and audit workflows raises practical questions that organisations must address. Data quality and integration remain foundational requirements; AI systems can only deliver value if they have access to accurate, comprehensive information across relevant enterprise systems. Organisations considering these technologies should assess their data architecture and governance practices as prerequisites for successful implementation.
Change management also presents challenges. Audit and risk professionals may need to develop new skills to work effectively alongside AI agents, shifting from task execution toward oversight, exception handling, and strategic analysis. The cultural and organisational dimensions of this transition are often as significant as the technical implementation.
Finally, governance of AI systems themselves becomes a consideration. Organisations must establish appropriate controls over how AI agents operate, including transparency into their decision-making processes and mechanisms for human review of significant outputs.
Conclusion
Diligent’s webinar offers GRC professionals an opportunity to evaluate how agentic AI is being applied to risk management and internal audit challenges. As organisations seek to expand assurance coverage while managing resource constraints, tools such as Risk Maestro, Risk Agent, Audit Agent, and AI Reporting represent a developing category of solutions designed to automate routine processes and accelerate insight generation. For professionals responsible for the future direction of their organisation’s GRC capabilities, the session provides a window into how this technology is maturing and what practical applications may become available in the near term.