IDC Market Note names SureCloud "the industry's first cross-domain agentic platform"

Regulatory burden is expanding faster than capacity or hiring can keep pace. Read the IDC Market Note on how SureCloud is redefining risk and compliance, moving from 'systems of record' to 'systems of execution'.

  • Understand why GRC is facing a breaking point.
  • Discover how AI can support a shift in critical program activities.
  • Learn what sets SureCloud's Gracie AI apart.

Find out for yourself

Download the IDC Market Note on Gracie AI.

Published by
70–80%
"Productivity uplift across record management, evidence chasing, and assessment analysis"
250+
"Distinct platform actions, from updating records and triaging evidence to analyzing assessments" via Gracie AI agents
A Skills library
"Built on 20 years of GRC domain expertise, fully extensible with each customer's own policies and methodologies"
GRC team reviewing expanding compliance obligations against fixed resources

Regulatory complexity and burden are expanding. Budgets and hiring aren't.

The IDC Market Note has identified a market breaking point. The research argues that as risk and compliance work becomes more complex and obligations keep expanding, the strain on teams only becomes larger. GRC teams can map every risk, track every control, and still fall behind, because even with their expertise, the work takes more hands than most teams have. Meanwhile budgets and headcount aren't growing.

The report argues a fundamental shift is needed against how GRC programs are run. Instead of more people or another conversational layer sitting on top of the workflows teams already have, what's needed is a governed, agentic approach that can extend the reach of the human team and perform the work. The tools built just for documenting cannot execute a risk and compliance programme. The IDC Market Note calls this the gap between "systems of record" and "systems of execution". Gracie AI is built to solve it.

“Why Gracie AI is a market shift, not just a product release”

From record-keeping to "execution"

Gracie AI can do whatever a human user can do in the platform, kicked off by prompt or triggered through a workflow. Whether creating a report, reviewing a document, performing workflow configuration, or pulling complex findings, Gracie AI delivers a virtual GRC team that frees up real capacity.

Expertise that scales with the team

SureCloud delivers a pre-built and customisable Skills library. The IDC Market Note shares that, “a customizable Skills library encodes both SureCloud's two decades of GRC best practice and each organization's own policies, ensuring even junior analysts execute to a consistent, expert standard.” Personas that act as virtual SMEs then offer advice and role-specific views for smaller teams with knowledge gaps.

Governed and auditable

The IDC Market Note highlights "what sets Gracie apart in the marketplace is that its governance architecture was designed from the ground up for regulated environments, rather than retrofitted." Gracie AI delivers immutable audit trails, in-region data processing with no model learning, and configurable human oversight are native to the platform, not features added in hindsight.

Frequently asked questions

What does a "system of execution" mean in practice?

A "system of execution" is a way of working where technology investment and process allows meaningful automation of manual and repetitive tasks that take up modern day-to-day workloads. Within SureCloud, Gracie AI can be used for both in the moment tasks and as autonomous agents that perform GRC tasks, rather than just suggest them. An agent could assess controls, update the risk register, build a report, change a field and more without human intervention (unless needed).

How is this different from a chatbot layered on existing GRC tools?

Most common chatbots just summarise an active page and search across tabled datasets. Gracie AI agents execute across the full platform, performing the work a GRC or specialist analyst would, using your expertise at scale and with the same permissions that you would ascribe to that role. The IDC Market Note states that a key benefit of Gracie AI is “A 70–80% productivity uplift across record management, evidence chasing, and assessment analysis frees senior professionals to focus on high-judgment work rather than administrative throughput.”

How does governance work?

Agents inherit the platform's existing permissions model. An agent acting as a Risk Persona can only see and do what a Risk Owner is entitled to. Every decision is logged with immutable reasoning trails with rollback is built in. We are hosted in Amazon bedrock for in-region data processing and no model learning.

What does onboarding look like?

SureCloud delivers a structured, expert-led implementation with scoping, incumbent migration if necessary and training. Our typical timeline is three to four weeks with projects taking less or more time depending on the customer's pace. SureCloud implementation managers use Gracie AI ourselves to configures products, workflows, and data importation to ensure what used to take months now takes days.

Trusted by GRC teams who want to act.