Home / Guides / Operational Risk Management
Guide

Operational Risk Management

How to identify and manage risk arising from people, processes, systems, external events, and everyday delivery.

By Adrian M. FenwickReviewed August 3, 2026

Operational risk concerns uncertainty created by how work is performed and supported. It includes failures of process, people, systems, data, suppliers, facilities, controls, or external conditions that affect ongoing objectives.

Map the operation

Identify critical services, processes, inputs, outputs, customers, systems, people, suppliers, handoffs, and recovery needs. Assessment is stronger when it begins with how work actually flows.

Connect incidents and risk

Incidents, defects, exceptions, complaints, near misses, downtime, and control failures provide evidence. Analyze patterns and update assessments rather than treating each event as isolated.

Manage change

New technology, staffing changes, reorganizations, supplier changes, rapid growth, and temporary workarounds can change exposure. Include risk review in change approval and post-implementation checks.

Balance prevention and recovery

Not every failure can be prevented. Combine prevention with detection, response, continuity, and recovery. Verify that plans match actual dependencies and resources.

Operational indicators

  • Backlogs and aged work
  • Error, rework, and exception rates
  • Capacity and staffing gaps
  • System availability
  • Supplier performance
  • Control failures and overdue remediation
  • Complaints and recovery time
Use with judgmentRisk methods support decisions; they do not remove uncertainty. Record assumptions, limits, and acceptance authority.

Focus on how work actually happens

Operational risk can arise from people, processes, technology, information, facilities, suppliers, external events, and the interactions between them. Documented procedures are only one source of evidence. Observe workarounds, handoffs, peak periods, exception queues, maintenance backlogs, access arrangements, and single points of dependency.

Learn from routine variation

Small failures, near misses, recurring rework, customer complaints, and control overrides can reveal deterioration before a major event. Trend information should be combined with local knowledge because aggregate performance may hide a vulnerable site, team, product, or shift.

Operational review prompts

  • Where does demand exceed designed capacity?
  • Which controls depend on manual attention?
  • What happens during absence, outage, or supplier delay?
  • Are temporary workarounds becoming permanent?
  • Which indicators provide warning before service is affected?