ReadiNow shares insights, updates, and industry perspectives from the front lines of enterprise transformation. We work closely with leading organisations to co-create intelligent GRC solutions, applying our no-code platform and Agentic AI to solve real-world challenges and shape the future of risk, compliance, and operational resilience.
In the rapidly evolving landscape of financial services, artificial intelligence (AI) is no longer a theoretical advantage—it's a strategic imperative. As regulatory complexity and threat vectors expand, AI-driven safety checks are becoming indispensable for institutions aiming to stay audit-ready, secure, and competitive.
Operational Safety Is Now Real-Time
CROs and risk leaders know that regulatory expectations are shifting from passive oversight to real-time risk intelligence. APRA's CPS 230 sets a clear direction: operational resilience must be proactive, tech-enabled, and embedded. ASIC is similarly raising the bar on surveillance and anomaly detection. Static controls no longer suffice.
AI as an Integrated Risk Control Layer
Machine learning and pattern recognition models offer a leap in capability over traditional rules-based systems. AI can flag transactional anomalies, detect behavioural deviations, and uncover non-obvious threat vectors at scale. This allows institutions to move from after-the-fact audits to live operational risk mitigation.
As Dr. Catriona Wallace, Adjunct Professor and founder of the Responsible Metaverse Alliance, has emphasised, responsible AI is non-negotiable. Financial services must deploy explainable and auditable AI models to meet both ethical standards and emerging regulatory scrutiny around algorithmic decision-making.
From Data Teams to GRC Teams: The Rise of No-Code AI
Platforms like ReadiNow are accelerating a shift: from AI as a data science function to AI as an embedded GRC capability. No-code configuration means GRC teams can operationalise surveillance logic, trigger escalation workflows, and build compliance rules tailored to institutional policy—without dev involvement.
What sets ReadiNow apart is speed. Speed to deploy, speed to adapt, and speed to scale. Institutions can move from ideation to implementation in days—not months—without sacrificing rigour or compliance alignment. This time-to-value advantage is a critical differentiator in high-stakes environments where risk tolerance is low and regulatory demands are constant.
This approach is already proving effective in meeting CPS 230 requirements, particularly in demonstrating operational resilience across supply chains, third-party vendors, and IT systems.
Proven Use Cases: Insider Risk and Control Monitoring
ReadiNow's no-code AI capabilities are being deployed to address key risk areas:
Insider threat: Pattern recognition models that flag privilege misuse or unusual system access.
Real-time control assurance: Verifying that policy-required controls are functioning as designed, with automated exception handling.
Third-party oversight: Continuously monitoring vendor activity and availability to meet CPS 230 resilience expectations.
Where It’s Going: Autonomous Assurance & Auditable Intelligence
We’re entering the era of autonomous assurance. AI systems will increasingly conduct self-checks, trace data lineage, and generate audit-ready reports on demand. Integration with technologies like blockchain and confidential computing will reinforce the veracity and governance of these models.
Forward-leaning institutions are already investing in governance frameworks to manage AI model risk, aligning with signals from APRA and global bodies like the Financial Stability Board.
The opportunity is clear: AI-enabled safety checks are not just tactical improvements—they're strategic enablers of resilience, speed, and trust in an era of compounding risk.
ReadiNow puts AI agents in your hands—no code required. Build intelligent agents that automate risk and compliance, enhance decisions, and boost productivity. From incident response to regulatory change, to managing risks, create AI teams that work for you.
Watch how agentic GRC comes to life in a live demo—see an incident agent log, triage, and connect data in seconds. Then book a demo to explore the impact on speed, accuracy, and control.
80% of risk and compliance leaders say AI will be critical to achieving operational resilience by 2026. (Gartner, 2023)
AI can reduce false positives in compliance monitoring by up to 60%, freeing up human teams for strategic review. (McKinsey, 2023)
Speed-to-Value (ReadiNow Angle)
No-code platforms like ReadiNow cut AI implementation time by 70–90% compared to traditional development cycles. (Internal benchmarking / Forrester TEI reports)
Median deployment time for AI-enhanced GRC workflows with no-code tools: <10 days (Industry average via Forrester Wave, 2024)
Operational Oversight
Real-time AI monitoring detects up to 4x more anomalies than static rule-based systems. (Capgemini Research Institute, 2023)
Institutions using AI-enabled risk controls report 30–45% faster incident triage and response. (Deloitte GRC Trends Report, 2023)
Adoption & Regulatory Signals
CPS 230 requires proactive risk identification and continuous monitoring—AI is a key enabler across IT and third-party oversight.
62% of Australian financial institutions plan to increase investment in AI for compliance and resilience in the next 12 months. (EY APAC Financial Services Risk Outlook, 2024)
