From 30 Days to 30 Minutes: How AI Agents Rewrite the Rules of GRC

June 24, 2025

Compliance work takes up more time than it should.

Security and GRC teams spend their days chasing documentation—pulling evidence for SOC 2 audits, responding to vendor risk questionnaires, reviewing controls for ISO 27001, aligning with evolving guidance from frameworks like NIST and FAIR. Then there are internal requests from legal, questions from procurement, policy updates from leadership, and last-minute escalations from sales trying to close a deal. It adds up quickly, and most of it lands on the same small group of people.

The work is difficult to move quickly through because key information lives in too many different places. Evidence might be buried in a cloud config, an internal doc, or a Jira ticket. Risk summaries are often written from scratch. Reports get duplicated and reshaped for each audience. The tools supporting this work—shared folders, outdated templates, customized ticketing systems—aren’t designed for responsiveness or reuse.

This creates a slow bleed on productivity. Teams spend hours formatting evidence, rewriting findings, and trying to keep control mappings current. By the time a report is finished, the environment may already have changed. Small tasks pile up and block bigger ones. Delays in documentation make it harder to make timely decisions. Reactive work leaves little space for strategic improvements.

The longer it takes to verify posture or respond to a control failure, the greater the risk of exposure. Manual, fragmented workflows drain attention away from actual risk management and make audit prep feel like a separate job—rather than part of the operational rhythm of security.

Smarter Risk Scoring, Automated from the Start

RAD gives GRC teams the context and coverage they need to move faster.

The system connects directly to live sources of truth—cloud configurations, runtime data, risk registers, internal policies, and external frameworks. It pulls the right information without requiring teams to dig through dashboards or request screenshots from engineering. Each data point is linked to a control, a system, a business owner, and a timestamp. That context stays up to date and traceable.

RAD’s GRC agent uses Retrieval-Augmented Generation (RAG) to source and assemble the most relevant content from across your environment. This includes internal documentation, policy references, risk models, and telemetry from cloud workloads. The agent maps this information to frameworks like NIST RMF and FAIR, then produces reports with full citations and linked evidence. Outputs follow a clear reasoning structure and show where each input came from.

The system runs continuously in the background. New evidence is collected as controls are exercised. Reports are refreshed as environments change. Risk scoring evolves as new signals come in. When a stakeholder asks for proof, the response is already written. When an auditor wants to see how a control is enforced, the mapping is already complete.

GRC teams stay in control. They define the rules, adjust the thresholds, and decide how outputs are used. RAD gives them tools that reduce overhead, increase consistency, and build a clearer picture of what’s working across the program.

Reporting That’s Ready When You Are

With RAD, GRC teams can generate risk summaries, audit reports, and control mappings directly from live system data. There’s no need to reformat evidence, rewrite descriptions, or translate findings into stakeholder-friendly language. The platform organizes information by framework, business unit, control set, or time window, and outputs it in formats suited for leadership, audit, or engineering review.

Every report includes linked evidence and context: where the signal came from, how it was interpreted, and what changed since the last review. GRC teams can walk through the logic, trace the findings, and respond confidently in audits or board meetings.

RAD also gives teams a way to handle the smaller, everyday asks that can eat up hours: “Do we have evidence that control X was enforced last quarter?” “What changed in our policy enforcement coverage this month?” “How does this incident impact our audit readiness?” These questions no longer require ad hoc digging or cross-team coordination. The answers are already documented and searchable through RADBot.

This reduces friction across functions. Legal gets reliable records. Procurement gets fast responses to vendor reviews. Leadership gets summaries that match business impact. Security and engineering don’t have to pause what they’re doing to support every request. The system already knows, and it already has the receipts.

Reclaim Weeks of Lost Time

For teams using RAD, work that used to span a month now takes a few hours. Risk assessments are easier to produce, and audit reports don’t require a manual push. Evidence stays organized and up to date, so teams spend less time chasing context and more time reviewing what matters.

In production environments, RAD has helped teams:

  • Cut evidence collection time by 90%
  • Deliver risk assessments 10 times faster
  • Save more than 30 days per audit cycle

GRC, security, and platform teams all use the same system to see what’s happening, document how it’s working, and respond when questions come in. The process is more predictable, more repeatable, and easier to manage across the board.

It’s a quieter, more reliable way to run compliance that holds up under pressure. Want to see more? Contact us to get started fast.

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