Risk Management Software for Operations Teams
Operations teams manage the risks that directly affect production output, asset performance, service delivery, and workforce safety — process failures, equipment breakdowns, supplier disruptions, and the incidents that cost time and money when they occur.
Built for how Operations Teams actually works
Operational risk is the risk of loss arising from failed internal processes, people, systems, or external events. For operations teams, this covers a wide range of threats: process control failures, equipment performance degradation, workforce errors, supply chain disruptions, quality control failures, and the incidents that arise when multiple contributing factors converge.
Operational Risk Register — Live, Not Quarterly
Every operational risk — process failures, equipment performance, workforce error, supply chain exposure — is entered in Dimeri's centralised register with likelihood and impact scoring, an owner, and linked controls. AI assists with risk identification and scoring suggestions. Risks distribute across a 5×5 heat map that updates as conditions change. The operations team's risk picture reflects the current state of the operation — not the position at the last quarterly review meeting.
Incident & Near-Miss Investigation
When an operational incident or near miss occurs, it is logged in Dimeri's structured capture form and routed to the investigation owner automatically. The root cause investigation workflow guides the team from initial report through causal factor identification to corrective action assignment. Investigation outcomes update the risk score of the related operational risk in the register. Near misses that share a common root cause across different incidents are identified by AI — so the operations team addresses the systemic issue, not just the individual event.
KRI Monitoring & Threshold Alerts
Dimeri's Risk Monitoring module tracks the key operational indicators that signal whether risk is building or receding — production throughput, equipment downtime rate, near-miss frequency, corrective action overdue rate, inspection completion. Green, amber, and red thresholds trigger automatic alerts when indicators breach acceptable levels. Trend charts over weeks, months, and quarters show whether operational performance is improving or deteriorating. Operations managers act on early warning signals, not on incident reports.
Control Effectiveness & Corrective Action Tracking
Dimeri's controls module maps every preventive, detective, and corrective operational control to the risks it addresses. When a scheduled inspection is overdue, a procedure has not been followed, or a control test reveals a gap, the associated risk escalates and the operations manager is alerted. Corrective actions move through a Kanban workflow — open, in progress, verified closed — with owner assignment and deadline tracking. Nothing stalls without the operations team seeing it.
One platform, every obligation
Risk, controls, incidents and reporting on a single record, so the same work serves every framework you answer to.
The frameworks you answer to
Mapped out of the box, with shared controls written once and credited to each framework rather than rebuilt for every one.
Risk register updated quarterly, not when operational conditions actually change
Live risk register updated continuously — near misses, incidents, control tests, and KRI breaches all feed the register automatically
Incidents filed in a separate log, never informing risk scores or corrective actions
Incident investigation outcomes update risk scores automatically — incidents are inputs to the risk picture, not parallel records
Controls that carry evidence
Preventive, detective and corrective controls with their test results and owners, linked to the risks they treat.
Frequently Asked Questions
Common Questions
Put your whole risk picture on one register
AI analysis identifies that the conveyor bearing overtemperature trend and the pressure relief valve bypass are causally linked: the bypass was activated to keep production running while maintenance was deferred on the bearing fault. The combined risk exceeds the individual scores of either risk entry. The production line should be isolated for both repairs together rather than sequentially, avoiding a repeat shutdown.
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