SureCloud Launches Gracie AI, a Virtual GRC Team

For two decades, GRC has been a discipline of skilled people doing manual work. Risk registers in spreadsheets. Control evidence in shared drives. Audit prep in quarter-long sprints. Vendor reviews in inboxes. The expertise was always there. The execution capacity never was.

GRC teams are not short of expertise. They have senior risk managers who understand DORA cold. Compliance leads who can recite NIS2 in their sleep. CISOs who know exactly where the cracks are. The problem has never been what the team knows. The problem is that there are never enough of them.

A Risk Manager cannot run every assessment, review every control, brief every vendor, draft every report and chase every piece of evidence. A Compliance Lead cannot be in every workflow at once. An Internal Auditor cannot close every non-conformity while preparing the next cycle. So the work either waits, or it gets handed to someone less senior, or it simply does not happen. None of those options is assurance. All of them are how regulated functions accumulate risk.

More headcount was never going to solve it. Gracie does.

Today SureCloud is launching Gracie AI Agents with Personas and Skills, the new way to 10X your GRC team. Not a chatbot. Not a co-pilot. A complete virtual GRC team of expert agents, each filling a defined role across your programme, executing your team's proven approach at whatever scale your function demands.

This is the moment GRC stops being a record-keeping exercise and starts being an executable one.

Gracie AI Agents now come with Personas, role-based job specifications that define exactly which part of your GRC programme each agent is built to perform. A Risk Owner agent. A Risk Manager agent. A Compliance Lead agent. An Internal Auditor agent. A Vendor Risk Manager agent. An agent for every workflow, across every SureCloud product: Risk Management, Compliance, Audit, Third-Party Risk, Business Continuity, Privacy and Continuous Controls Monitoring.

Each Persona defines the role the agent fills, the decisions it is qualified to make, the workflows it operates in and how it interacts with the human team members working alongside it. The result is a virtual GRC team of on-demand agents that maps directly onto your real one, filling every required role across the programme, available at any hour, never at capacity and always operating within the authority and remit of the Persona they hold.

This is what we mean by 10X your GRC team: not replacing the people you have, but giving every one of them an agent counterpart that carries their workload, operates at their standard and frees them to do the work only a senior expert can do.

1. Personas give agents their role.

A Persona is a job specification for an AI agent: it defines the role the agent fills within the GRC function, the scope of its authority, the workflows it participates in and the standard it is expected to meet. SureCloud provides Personas for every role in every product workflow, from Risk Owner to Privacy Lead to BCM Coordinator. Customers can configure their own alongside them, defining exactly how each agent role operates within their programme, against their own policies and governance structures.

Together, this provides both guidance for agents and even a virtual role that can be invoked when specialist knowledge is required. 

2. Skills give agents their expertise.

A Skill is a codified way of performing a specific GRC activity: the steps, the standards, the templates, the rules, all captured once and executed consistently. A SOC 2 evidence review that flags gaps and drafts the remediation plan. A NIS2 gap assessment that maps findings to controls and suggests missing mappings. A DORA third-party review that scores the vendor, cross-references existing control evidence and generates the board summary. An ISO 27001 internal audit that chains evidence collection, control testing and non-conformity reporting without manual handoff.

SureCloud provides a library of Skills built on twenty years of GRC expertise, tuned to the regulations our customers actually face. Customers build their own alongside them, encoding their team's own way of working in their own language. A Skill can call another Skill. A Skill can be used by an agent autonomously or inside a workflow. The expertise of the team becomes a reusable asset within the platform, and any Persona can draw on it.

3. Agents give the team reach.

They run throughout every part of the SureCloud platform. They execute in the context of the activity a user is performing. They can be triggered independently or from inside a workflow stage. They chain together when one task depends on another. And they reason across the entire relational history of a customer's GRC environment, not just the current state of a record. The human Risk Manager sets the strategy. The Risk Manager agent runs it, across every assessment, every control and every action item, at once.

This is what a dream GRC team looks like. Human expertise setting the direction. Gracie agents operating every role at scale. Personas ensuring every agent knows its place, its authority and its remit. Skills ensuring every agent operates to the same proven standard, every time.

The natural question about AI agents in regulated functions is whether the agents themselves become a risk. It is the right question. That is why Gracie was built from the ground up as an AI-first GRC stack, with governance embedded in the architecture rather than bolted on afterwards.

Five things make it trustworthy.

1. No-training LLMs. Gracie routes tasks across Claude, OpenAI, Google and Mistral via an AWS Bedrock-grade safety envelope. Customer data is never used to train any model. It never leaves the tenant environment. It is processed in-region so data sovereignty requirements are met by default.

2. Model routing for rigour and cost. Not every task deserves a premium reasoning model. Simple record updates run on lightweight, cost-efficient models. Complex documentation review gets the model it deserves. The routing is automatic, the cost envelope is predictable and the rigour is matched to the task.

3. Immutable reasoning logs with rollback. Every action a Gracie agent takes is captured in an event-sourced log that cannot be rewritten after the fact. The log shows what the agent did, what it reasoned over, what data it used and what it inferred. Any change an agent makes can be rolled back cleanly. Whether the agent was running inside a workflow or acting independently, you always have a clear record of what it did, why, and the ability to reverse it if you need to.

4. Permissions inherited from the platform. Personas inherit the hierarchy and permissions model already configured in SureCloud. An agent acting in a Risk Owner Persona can only see and do what a Risk Owner in your organisation is entitled to see and do. Agent authority is scoped to the role. No agent exceeds its Persona's remit.

5. Human-in-the-loop where it matters. For actions that affect significant data or decisions, a human confirms before the change is made. Agents draft, suggest, pre-fill and execute within the authority their Persona grants. They do not approve, submit or sign off when the stakes demand a person. AI operates the role. Humans lead the programme.

The market is rebranding around the language of agentic AI. Every vendor is announcing agents. Most of them are wrappers around a model with a search box on the front. They search. They summarise. They document. They suggest. None of that is execution. None of it is a team.

Gracie is different on the things that matter.

- A virtual team, not a generic tool. Personas mean every Gracie agent has a defined role, a defined remit and a defined place in the GRC programme. This is not a general-purpose assistant repurposed for GRC. It is a full virtual team, each member built for the role they fill, across every product, every workflow and the full estate.

- Codified expertise, not improvisation. Skills turn twenty years of SureCloud GRC expertise, and each customer's own way of working, into expert instructions the agents execute against. The agent does not improvise. It runs a proven approach, every time.

- Native governance, not a feature layer. Event-sourced reasoning logs with rollback, platform-native Persona permissions, no-training LLMs, in-region data residency, model routing and human checkpoints. Built into the architecture, not a feature on top of it.

Competitors bolt AI onto rigid systems that lack context. Gracie was built for AI from day one, and Personas make it the only GRC AI that gives every agent a real job, not just a prompt.

GRC teams have been asked to do more with less for so long that the phrase has lost meaning. With DORA live, NIS2 enforcement landing this October, the EU AI Act phasing in through 2027 and the FCA already £15.7 million into 2026 in fines, the request has stopped being aspirational. It has become structural.

Gracie AI Agents with Personas and Skills are how that structural problem finally gets solved. Not by hiring. Not by outsourcing. Not by another dashboard. By giving every GRC team a complete virtual team that fills every required role across the programme, executes against their team's codified expertise and operates inside a governance model they can explain to a regulator.

One human team. Ten times the output, the expertise, the reach. A virtual GRC team that works the way yours does, because it was built to.

SureCloud. Your Business Assured.