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Executive roundtable · For Chief Risk Officers

Agents in GRC: the ROI your board will actually fund.

A closed-door conversation for risk and compliance leaders on where AI is creating value in GRC, how to measure the return, and where it belongs in the operating model.

We will open the box on agents that are already set up for GRC processes and show how teams start using them straight away.

 

Guest speaker: Matthew Wilson, Chief Risk Officer, EML
Tuesday 17 November 2026
3 - 4:30PM AEDT · ReadiNow Experience Centre, Sydney
Limited seats
You'll walk away with

A business case, not just a conversation.

Risk leaders in a roundtable discussion
01
A CRO's view of AI in practice

Where AI is delivering value today, and what it took to embed it, from EML's Chief Risk Officer.

02
An ROI lens you can reuse

The criteria for deciding where AI agents should take on a function, and how to measure the return.

03
Agents seen working live

AI agents demonstrated in everyday GRC workflows, so you can judge the fit for your own processes.

04
ROI use cases for your function

Built in the room with a structured ROI model, ready to take to your executive team and board.

Guest speaker
Matthew Wilson, Chief Risk Officer, EML
Client story
Matthew Wilson
Chief Risk Officer, EML
AI in practice: a GRC leader's perspective

Exploring AI as a new way of working, where it can deliver value today, and the role of agentic AI embedded in core GRC processes to streamline risk and compliance processes whilst supporting audit requirements.

Also at the table
01
Measuring the return

The ROI lens used to decide where AI agents should take on a function.

Warwick Kirby
Chief Executive Officer, ReadiNow
02
AI agents at work

AI agents demonstrated live in everyday GRC workflows.

Mazen Kasamani
Business Solutions Director, ReadiNow
03
Executive workshop

Build ROI use cases for your own function using a structured ROI model.

Rachel Brook
Executive Advisor - GRC, R&R Advisory
Who should attend

Built for mid-market GRC leaders who own the decision.

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On the day

Four conversations, one practical outcome.

You leave knowing which agent to start with, which process to put it in, and what to check before you switch it on.

01
Agents already in action in GRC

Agents working in risk, compliance, incident and audit processes, and what they hand back to people.

02
Native AI versus bolt-on AI

The questions to ask your current platform provider, and why the answers matter for audit and adoption.

03
Guardrails, permissions and shadow AI

Keeping agents inside role-based access, with human oversight and a record of what they did.

04
Adoption and embedding

Where to start, how to bring the team along, and how to move from one agent to an operating habit.

Why GRC teams are rethinking AI

If your GRC platform's AI stops at a suggestion, your team is still doing the work.

"The AI drafts, then someone rekeys it."

Agents in ReadiNow work on governed records inside the workflow, so accepted output becomes real actions, controls and assessments.

"Every change is a ticket to a specialist."

ReadiNow is a no-code platform. Your team adjusts processes, forms and agents without waiting on a vendor change request.

"Switching platforms sounds like a year."

Agents come set up for GRC processes. A rapid execution plan puts the first one to work in a single process before you scale.

"We don't know where staff already use AI."

Native agents run inside role-based permissions with logging, which gives people a governed alternative to unsanctioned tools.

A box of agents, already set up

Unpack the agents. Start with one process.

These are examples of ReadiNow agents built for core GRC processes. At the roundtable we will show what each one sees, what it is allowed to do and where a person stays in the loop.

Risk
  • Risk Assessment Agent
  • Control Finder Agent
  • Risk Insight Agent
Compliance
  • Reg Change Assessment Agent
  • Attestation Builder Agent
  • Control Support Agent
Incident
  • Log Incident Agent
  • Incident Triage Agent
  • Remediation Agent
Audit
  • Audit Builder Agent
  • Audit Remediator Agent
  • Audit Summary Agent
 

The Agent Loop

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Governed by design

Agents that only see what the user can see, and leave a record of what they did.

Role-based access

Agents act within the same permissions as the person using them, with data masking and field restrictions applied.

Human oversight

Agent output is reviewed and accepted by a person before it becomes a record of consequence.

Logged and auditable

Monitoring and audit trails sit on the same platform as your risk, compliance and audit records.

Private, Australian-hosted AI

ISO/IEC 42001 certified. Prompts and outputs are not shared across tenants or used to train models.

Limited availability

A transition offer for teams ready to move.

Roundtable attendees can access a transition licence designed for organisations moving from an existing GRC platform, plus a rapid execution plan for the first agent-led process. Places in the offer are capped.

 

Commercial terms built around your transition, not a second full licence
A rapid execution plan: first agent, first process, guardrails agreed
A simple buying process for mid-market teams
Register your interest