From Reactive to Resilient: Automating Control Assessment in Risk Management

In today’s fast-moving regulatory landscape, manual controls and reactive processes simply can’t keep up. Risk managers are expected to anticipate challenges, adapt in real time, and prove compliance under increasing scrutiny. The future of operational risk is clear: proactive, automated, and AI-enabled.

That was the focus of our recent webinar, Reactive to Resilient: Automating Control Assessment in Risk Management, featuring insights from Shrikant Dash and Ashwin Nayak. They shared how financial institutions can strengthen their risk functions by embedding process engineering into control frameworks and assessments.

🎥 Watch the full webinar replay.

Key Takeaways

• Bridging the Gap: Align internal controls with evolving regulatory requirements.
• Reducing Manual Burden: Simplify control assessments and eliminate repetitive tasks through automation.
• Shifting to Prevention: Orchestrate workflows, leverage real-time indicators, and use AI-led techniques to anticipate risks before they escalate.
• Building Resilience: Create a control environment that adapts to change and withstands regulatory pressure

Why This Matters

The impact of process engineering on operational risk management is profound:

• From Reactive to Proactive: Spot deficiencies in controls, policies, and processes before regulators do.
• From Manual to Automated: Integrate data and workflows directly into control framework management.
• From Years to Months: Shrink control framework implementation timelines from three years to three months or less.
• From Vulnerability to Strength: Reduce the likelihood of MRAs escalating to MRIAs, minimize penalties, and remove growth barriers.

Modernizing your control environment isn’t just about compliance — it’s about resilience, speed, and unlocking new capacity for growth.

👉 Request a demo today to see how your team can move beyond reactive controls into a resilient, AI-driven risk management future.