What Autonomous Assurance Actually Requires
What it takes to modernize governance, risk, and compliance for AI-era regulation
Most organizations treat GRC modernization as a tooling upgrade, something to budget for once the current audit cycle is behind them. But regulators, including RBI, SEBI, IRDAI, DPDPA, GDPR, and the EU AI Act, are not asking whether a platform exists. They are asking whether an organization can produce current, audit-ready evidence on any given day, not just on the day an assessor shows up. Most GRC programs, built on spreadsheets, email chains, and point-in-time reviews, cannot answer that question.
This whitepaper explains why the manual model breaks down under AI-era conditions, and lays out NuSummit’s approach to closing that gap.
With this whitepaper, you can:
- Understand the four structural reasons manual GRC programs fall behind, and why working harder inside the existing model does not fix them.
- See what actually changes when evidence, risk scoring, and reporting update on their own instead of waiting for someone to update them.
- Learn where AI does real work across risk, compliance, audit, policy, and third-party risk management, and why that differs from AI added on as a layer.
- Walk through four real-world scenarios, from audit prep to board reporting, that show what autonomous assurance looks like in practice.
- Compare NuSummit’s two engagement models, Managed Services and Advisory and Implementation, and see the five-phase delivery approach that gets core controls live in weeks.
Download the whitepaper to read the full view, including why manual GRC is not enough.