December 12, 2025

Stop Chasing Evidence: Integrating AI GRC with Your Workflow

Integrating GRC systems with workflow management platforms like JIRA streamlines evidence collection. Instead of chasing down documentation, the system automatically generates tasks within existing workflows, ensuring accountability and reducing friction. This integration leads to continuous monitoring, stronger compliance, and frees up GRC teams to focus on strategic risk management.
December 12, 2025

Collecting evidence to demonstrate control performance is a persistent pain point for GRC professionals. It often involves a frustrating cycle of emails, chasing down individuals for documentation, and navigating disparate systems. Think about it: a control requires proof that access permissions are reviewed quarterly. Currently, that likely means a GRC analyst emailing the system administrator, who then has to log into Active Directory, run a report, export it, and *then* upload it to a separate GRC platform. People are asked to log into *another* platform to upload proof, disrupting their daily workflow and creating friction. This manual process is time-consuming, prone to delays (especially with busy teams!), and makes truly continuous monitoring feel impossible. Worse still, tracking evidence requests and their status often exists *outside* of established organizational processes, leading to gaps and potential compliance risks. We’ve heard countless stories of audit findings simply because proof couldn’t be located quickly enough.

But what if evidence collection could happen *within* the tools your team already uses? Our AI-powered GRC system now allows seamless integration with popular workflow management platforms like JIRA. When automated evidence gathering isn't enough – perhaps requiring a screenshot of a specific configuration setting, a comparison of two spreadsheets highlighting rows meeting certain criteria, or specialized analysis of a system log – the system intelligently generates a task (a JIRA ticket, for example) and assigns it to the appropriate individual. This ticket isn’t just a vague request; it provides clear, specific instructions – outlining *exactly* what needs to be done, including screenshots, example formats, and even direct links to relevant systems. The individual completes the task, attaches the evidence directly to the ticket, and the system automatically handles the rest. Our GRC system then pulls the evidence from the ticket, associating it with the relevant control for analysis and automatically updating the control’s status.

This integration dramatically improves the evidence collection experience. Individuals complete tasks *within* their existing workflow – whether it's JIRA, ServiceNow, or another platform – meaning no extra logins or context switching. Every request is tracked as part of their regular work, offering full visibility and accountability for both the individual, their manager, and the GRC team. Importantly, our AI doesn't just ingest the evidence – it *analyzes* it. It can flag inconsistencies, identify potential risks, and even use the associated ticket to request clarifications from the individual if needed – fostering a collaborative dialogue and ensuring data accuracy. This creates a continuous loop of validation, strengthens compliance, and frees up GRC teams to focus on strategic risk management, not chasing down paperwork. It’s about shifting from reactive audits to proactive assurance, all powered by the tools your team already uses and trusts.

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