An operational assurance system for tailings: six interconnected components, a monthly cadence, a health index per TSF, and evidence-based executive decision-making.
Most tailings governance programs prove compliance, but fail to establish an operational rhythm that surfaces weak signals before they escalate into incidents. The framework designed by Data Riders addresses this challenge with a repeatable assurance system.
1. Defined controls
Catalog of critical and routine controls with clear ownership, effectiveness criteria, and verification frequency.
2. Living evidence
Traceable evidence with expiration dates and assigned owners, mapped to each standard requirement.
3. Repeatable testing
Library of design and operating effectiveness tests to verify that controls actually work, rather than just exist.
4. TSF health index
Consolidation that translates dozens of signals into a single score, comparable month over month and across facilities.
5. Escalation rules
Clear criteria for when an issue escalates to area management, technical committees, or the executive committee.
6. Monthly cadence
A closing, approval, and decision routine that turns assurance into an ongoing process, not an event.
- The program design deck defines Reliable Assurance as a living system with six components: defined controls, living evidence, repeatable testing, TSF health index, escalation rules, and monthly cadence.
- The program's objective is explicit: deliver continuous Reliable Assurance on the health of a multi-country portfolio of tailings storage facilities (TSFs), with a monthly cadence and a consolidated executive view.
- External audits cover the "letter of the law"; the gap this program solves is continuous assurance on real control effectiveness, evidence freshness, operational discipline, and anticipation of emerging risks.
- The "spirit of the standard" framework is operationalized across dimensions: governance and competence, operational discipline, monitoring and data integrity, critical risks and controls, actions, and readiness/response.
- Documented success metrics include assurance coverage, evidence freshness, overdue critical actions, reporting cycle time, evidence reuse, and adoption by site/country.
Source: internal integrated proposal by Data Riders (Pillar A, Internal Compliance / Reliable Assurance; Pillar B, GISTM.ai build & deploy). Client kept anonymous. Client-approved metrics and visuals will be added as they are cleared for external release.
The system is structured around the dimensions of the "spirit of the standard", not just the letter:
- Governance and competence.
- Operational discipline.
- Monitoring and data integrity.
- Critical risks and controls.
- Actions, plans, and deviations.
- Readiness and response.
- Heat maps per TSF.
- Month-over-month variances by dimension.
- Top gaps and critical actions.
- Escalations and required executive committee decisions.
- Assurance coverage.
- Evidence freshness.
- Overdue critical actions.
- Time to close reports.
- Evidence reuse.
- Adoption by site and by country.
A "no-surprises" executive view of tailings health, backed by a measurable process to close gaps, improve evidence freshness, and reduce operational rework.
Speak with Data Riders about structuring assurance as an operating system, not just an audit.
