As enterprises accelerate automation across business functions, platforms, and geographies, operational risk is no longer confined to isolated process failures. Instead, risk is becoming systemic, interconnected, and harder to detect and often emerging across handoffs, dependencies, and automated decision layers that traditional dashboards fail to expose.

While organizations have invested heavily in process visibility, monitoring tools, and performance metrics, visibility without structural context is proving insufficient. As automation scales, blind spots multiply this leads to cascading failures, compliance exposure, customer impact, and costly remediation efforts.

In this research-led session, QKS Group analysts examine why automation changes the nature of risk itself, and why Business Process Management (BPM)-led approaches are becoming essential for identifying, structuring, and mitigating risk early before it escalates into operational disruption.

This session is designed to help leaders rethink how risk should be identified, governed, and managed in highly automated enterprise environments.

• Automation at Scale: How Risk Is Shifting

  Understand why increased automation introduces new categories of operational and compliance risk:

  • The transition from isolated task failures to end-to-end process fragility
  • How uncoordinated automation creates hidden dependencies and failure chains
  • Why point-level monitoring misses risk emerging across process handoffs
  • The growing gap between automation speed and risk governance maturity

• Where Risk Actually Hides in Automated Enterprises

  Learn where traditional dashboards and KPIs fall short:

  • Risk embedded across cross-functional workflows and system interactions
  • Automation blind spots between human, bot, and AI-driven decisions
  • Latent compliance and control gaps that surface only after incidents occur
  • How lack of process structure delays risk detection and response

• Why BPM Is Critical for Early Risk Exposure

  Explore how BPM-led approaches enable proactive risk identification:

  • Process-centric visibility versus activity-level monitoring
  • Structuring risk at design time rather than post-failure investigation
  • Mapping dependencies, controls, and exceptions across end-to-end flows
  • Using BPM to align automation, governance, and accountability

• Best Practices for Managing Risk in Highly Automated Environments

  Analysts will share practical guidance on:

  • Embedding risk intelligence early in automation initiatives
  • Reducing downstream failures through process-first automation design
  • Aligning BPM, automation platforms, and risk teams
  • Moving from reactive firefighting to proactive risk exposure

• Digital Transformation Leaders
• BPM and Process Strategy Leaders
• COOs and Operations Heads
• Risk, Compliance, and Governance Leaders
• Process Excellence and Continuous Improvement Teams