Records Maturity (RMI)
Records maturity is the lowest pillar across MDAs. Digitisation remains minimal for most institutions, constraining automation, integration and auditability — and directly lowering end-to-end service completion.
- Enables end-to-end processing (no “print and bring” steps).
- Improves auditability and reduces turnaround time.
- Unlocks interoperability by making data discoverable and trusted.
Low digitisation and missing ERMS create manual verification and handoffs that reduce completion rates. See the Services page for completion patterns by category.
How to read the RMI results
Digitisation Degree
Distribution of MDAs by approximate digitisation degree (bands).
Interpretation
- The majority of MDAs remain at pilot/minimal digitisation (0–10%), creating backlogs and limiting workflow automation.
- A smaller subset show meaningful progress (11–40%), often driven by programmatic digitisation of specific record series.
- Only a very small minority exceed 40% digitisation.
Band drill-down table
| Band | % MDAs | Typical state |
|---|---|---|
| 0–10% digitised | 90% | Paper registries; ad-hoc scanning; manual verification dominates |
| 11–40% digitised | 7% | Targeted series digitised; partial workflows; uneven metadata |
| >40% digitised | 3% | Structured digitisation programs; clearer controls; better retrieval |
Prioritise record series that create the most manual checks in high-volume services (e.g., identity verification, eligibility proofs, licensing evidence). This increases service completion even before full archival digitisation is achieved.
ERMS / EDRMS Adoption
Presence of electronic records management capabilities across MDAs.
- Fragmented file registries
- Inconsistent metadata and classification
- Limited retention schedules and disposition controls
- Low integration with service platforms
- EDRMS rollout starting with high-volume / high-risk record series
- Common standards for metadata, retention, digitisation QA
- Integrate EDRMS with service platforms to enable end-to-end processing
- Introduce audit trails for access, edits, approvals and disposition
Minimum viable ERMS (MV-ERMS) checklist
- Standard folder structure + classification taxonomy
- Mandatory metadata: owner, date, category, sensitivity, retention
- Role-based access and logs (who accessed what, when)
- Retention schedules and disposition approvals
- API or export capability for service workflow integration
Policy Baseline
Policy adoption provides a foundation but requires stronger implementation, enforcement, and operational controls.
What “policy adoption” does not guarantee
Policies must translate into operational procedures (classification, retention, access requests, breach response).
Compliance monitoring, audits, and sanctions are required to reduce exceptions and “shadow filing”.
Recommended Actions
A practical path to raise records maturity and unlock end-to-end digital services without waiting for “perfect digitisation”.
Digitise the record series that block the highest-volume services and approvals first.
- Eligibility & verification evidence
- Licensing & compliance records
- Payment and receipt trails
Start with minimum viable ERMS: metadata, access control, audit logs, and retention.
- Classification + metadata standards
- Role-based access
- Retention schedules
Make records part of the service journey: capture evidence digitally and reuse it via APIs.
- Evidence capture in service portals
- Automated validation checks
- Audit-ready approvals
Implementation plan (starter 90-day cadence)
- Select top record series (by service volume and risk)
- Define metadata & classification baseline
- Agree retention schedules & access roles
- Digitise and QA the selected series
- Deploy MV-ERMS controls and audit logs
- Train records and service teams
- Integrate evidence retrieval into services
- Measure drop-offs and turnaround time
- Expand to next record series
Note: Percentages reflect reported ranges and desktop/field assessment synthesis; use as directional indicators for prioritisation.