Tailings governance does not fail for lack of audits; it fails because controls, evidence and executive decisions don't share the same operating rhythm. Data Riders built a Reliable Assurance framework that turns tailings governance into a monthly operating system — not an annual event.
Six building blocks
1. Defined controls
Catalog of critical and routine controls with clear owner, effectiveness criteria and verification frequency.
2. Living evidence
Traceable evidence with validity date and responsible party, connected to every requirement of the standard.
3. Repeatable tests
Library of operational and design tests to check whether the control actually works — not just whether it exists.
4. TSF Health Index
Consolidation that translates dozens of signals into a single, comparable reading month over month and across structures.
5. Escalation rules
Clear criteria for when a topic moves up to area management, technical committee or executive committee.
6. Monthly cadence
Closing, approval and decision routine that turns assurance into a routine — not an event.
Verified, source-backed facts
- The program design deck defines Reliable Assurance as a living system with six components: defined controls, living evidence, repeatable tests, a TSF health index, escalation rules and monthly cadence.
- The program objective is explicit: deliver continuous Reliable Assurance over the health of a multi-country portfolio of tailings storage facilities, with monthly cadence and a consolidated executive view.
- External audit covers the “letter of the law”; the gap this program solves is continuous assurance over real control effectiveness, evidence currency, operational discipline, and early risk anticipation.
- The “spirit of the law” framework is operationalised through dimensions such as governance and competence, operational discipline, monitoring and data integrity, risk and critical controls, actions, and readiness/response.
- Documented success metrics include assurance coverage, evidence currency, critical overdue actions, time to close reports, evidence reuse, and adoption by site/country.
Source: internal Data Riders integrated proposal (Pillar A — Internal Conformity / Reliable Assurance; Pillar B — GISTM.ai build & deploy). Client kept anonymous. Client-approved metrics and visuals will be added as they are released for external publication.
Framework dimensions
The system is structured around the "spirit of the standard", not just its letter:
- Governance and competency.
- Operational discipline.
- Monitoring and data integrity.
- Risks and critical controls.
- Actions, plans and deviations.
- Preparedness and response.
The monthly executive package
- Heat maps by TSF.
- Month-over-month variations by dimension.
- Top gaps and critical actions.
- Escalations and decisions required from the executive committee.
Success metrics
- Assurance coverage.
- Evidence freshness.
- Overdue critical actions.
- Time to close reports.
- Evidence reuse.
- Adoption by site and country.
Documented value
A "no-surprises" executive view of tailings health, with a measurable process for closing gaps, improving evidence freshness and reducing operational rework.
Related reads, cases and services
- Case: GISTM.ai — AI tailings compliance
- Case: Optimization of the tailings and geotechnical management systems
- Service: Audit & Compliance
- GISTM.ai — compliance platform
- Blog: Document Intelligence in mining
- Blog: GISTM.ai launch
Editorial note. This case consolidates two documented threads: a Reliable Assurance program design for a multi-country mining operator (bilingual operating model, monthly cadence, consequence-based rollout) and the underlying Reliable Assurance framework (six components, Health Index and executive package). The narrative stays close to what is documented in internal source material; specific client-approved outcome figures will be added after validation.