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Good practice Imported

DOST Digital Innovations Centre — Azerbaijan's Automatic Disability Benefit Assignment System

Azerbaijan · Baku · See the Azerbaijan profile · See the Baku profile

Evidence: Descriptive / self-reported Top 24% 92/100 · Ask Evidence Copilot about this practice

Azerbaijan's Disability Subsystem automatically assesses and pays disability benefits with no application needed, using anonymised case review and SMS-delivered e-signed decisions. Since 2015 it has processed 736,000+ applications; DOST now serves 9.2 million people proactively.

736,000+ applications
Disability benefit applications processed (2015–2025) (2015–2025)
85,000+ applications
Applications processed in 2023 (2023)
250,000 individuals
Individuals spared annual repeat in-person review (cumulative)
9.2 million (of 10.2M population)
People served by the DOST Centre since 2022 (since 2022)
91.5 % of 160 services
Ministry services digitised (current)
25,000 assignments/day
Maximum benefit assignments processed per day (current)
250,889 payments
Proactive social payments made in 2024 (2024)
DOST Digital Innovations Centre — Azerbaijan's Automatic Disability Benefit Assignment System

Details

Maturity
Established
Promoter
DOST Digital Innovations Centre, Ministry of Labour and Social Protection of Population of Azerbaijan
Period
2015–present
Keywords
social protection, disability benefits, digital government, proactive services

Context

Azerbaijan's Ministry of Labour and Social Protection of Population introduced the Disability Subsystem in 2015, an electronic platform that replaced paperwork-heavy, in-person disability assessments that had previously required people to travel from office to office carrying documents and facing long waits.

Activities

Hospitals now transmit medical data electronically; each case is encrypted, anonymised and randomly distributed to a Medical-Social Expert Commission so reviewers do not know whose case they are assessing, and decisions are electronically signed and delivered directly to the applicant by SMS. Since 2022 the system has operated under the DOST Digital Innovations Centre, which unified the ministry's IT functions and now applies artificial intelligence to flag potential fraud, while automatic case-extension logic means people with long-term conditions no longer need to reapply or attend repeat in-person reviews.

Results

By the operator's own account, the Disability Subsystem processed over 736,000 applications between 2015 and 2025, including 85,000+ in 2023 alone, and automatic extensions spared 250,000 individuals from annual repeat office visits. Independent govtech coverage separately reports that the DOST Centre has served 9.2 million people (in a country of 10.2 million) since 2022, digitised 91.5% of the ministry's 160 services, and can process up to 25,000 benefit assignments in a single day, including 250,889 proactive social payments in 2024.

Conclusions

These figures come substantially from a DOST-staff-authored account and DOST's own reporting; no independently audited evaluation of assessment accuracy, appeal rates or disabled applicants' experience of the automated process was identified, though independent govtech media corroborate the platform's overall scale.

Implementation

Indicative cost
High (€500k–€5M) — National ministry-run digital infrastructure (electronic data transmission, encrypted anonymised case routing, e-signature/SMS delivery, and since 2022 an AI fraud-detection layer) covering the country's entire disability-benefit caseload.
Time to results
Long (> 3 years) — Disability Subsystem launched 2015; expanded and unified under the DOST Digital Innovations Centre since 2022, now serving over 9 million people.
Staffing & skills
Medical-Social Expert Commission reviewers conducting anonymised case assessment, DOST Digital Innovations Centre IT and AI fraud-detection staff (since 2022), Ministry of Labour and Social Protection of Population as system owner

Conditions for success

  • Electronic transmission of medical data directly from hospitals, removing manual paperwork
  • Encrypted, anonymised, randomly-distributed case review to reduce reviewer bias
  • Automatic case-extension logic removing the need for repeat in-person reviews for long-term conditions
  • E-signature and SMS delivery infrastructure reaching applicants without an office visit

Common failure modes

  • No independently audited evaluation of assessment accuracy, appeal rates or disabled applicants' experience of the automated process was identified

Where it fits

Governance type
centralised national ministry-led digital platform
Scale
national
Income level
upper-middle-income

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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