Right benefit, right person, right time: How AI is reshaping administration of benefits programs worldwide
Public benefit systems exist to support people at their most vulnerable moments: a family navigating a housing crisis, a parent applying for childcare support, a resident managing disability or caregiving responsibilities. In these moments, speed, accuracy, and dignity matter as much as compliance.
Yet social services leaders are under growing pressure to deliver both human outcomes and financial stewardship at scale. Backlogs, fragmented records, and manual evidence reviews strain frontline staff, while delayed verification and siloed data expose programs to error and misuse. The challenge is no longer choosing between inclusion and integrity. Modern eligibility systems must deliver both.
Why does this matter now?
The financial implications are significant. Around the world, governments are confronting the cost of improper payments, fraud, and administrative inefficiencies:
- In the United States, the Government Accountability Office reports that 16 federal agencies estimated about $162 billion in improper payments in FY2024, with roughly 84% due to overpayments.1
- In the United Kingdom, public sector analyses estimate £33 Billion to £59 billion annually in fraud and error.2
- In Australia, the Australian National Audit Office reports that in 2021–2022, Services Australia delivered $124.7 billion in welfare payments, with an estimated 6.71% in overpayments.3
- In India, a government press note summarizing a quantitative assessment highlights ₹3.48 lakh crore in cumulative savings attributed to leakage reduction enabled by the country’s Direct Benefit Transfer program.4
At the same time, large-scale digital identity and cash transfer reforms around the world demonstrate what’s possible when delivery systems modernize. These transformations show that improving both inclusion and fiscal stewardship is not only possible—it’s already underway. Modernizing eligibility is no longer just an IT upgrade. It is a service delivery transformation, a fiscal stewardship strategy, and a trust- building effort between governments and the people they serve.
Microsoft’s point of view
Microsoft’s point of view is simple: modern eligibility is not about replacing human judgment with automation. It is about augmenting frontline staff with secure, interoperable, AI-enabled tools that fit into the systems governments already rely on.
That’s why our approach emphasizes identity as infrastructure, evidence as data, and AI with humans in the loop—so agencies can modernize incrementally, maintain accountability, and adapt as policies evolve.
What changes when eligibility is designed around real lives?
When eligibility systems are designed around programs rather than people, friction is inevitable. Households move across life events faster than policies or systems can adapt, forcing staff to reconcile fragmented records, incomplete documentation, and outdated rules.
Leading agencies are addressing this by treating eligibility not as a one-time decision, but as a continuous, connected process—grounded in strong identity, structured evidence, and shared data across programs.
What modern eligibility looks like
Modernization is not a monolithic system replacement. It is a set of incremental, coordinated capabilities that governments can adopt without wholesale replacement.
Below are the core capabilities that define modern eligibility today.
Identity as eligibility infrastructure
Eligibility starts with a foundational question: Who is applying, and is it really them?
Identity theft doesn’t just divert public funds—it can lock legitimate residents out of help. Treating identity as a side project is increasingly a risk.
In South Australia, the Department of Human Services uses Microsoft Entra ID to strengthen identity protection through role-based access controls, multifactor authentication, and print and screen access safeguards. These steps help protect sensitive records and support secure self-service—without adding friction for legitimate users.
Turning documents into usable data
Documents are often the hidden tax on benefit delivery. Much of the delay in eligibility processing comes not from policy rules but from handling paperwork—reading scans, re-entering information, or chasing missing pages.
The Czech Republic’s Ministry of Labor and Social Affairs addressed this by using Azure AI Document Intelligence to extract data from paper forms and accelerate payment of childcare allowances. The Jenda portal also gives families visibility into application status and connects them to upskilling opportunities—illustrating how digitizing evidence can improve both speed and experience.
Connecting fragmented records to see the full picture
A resident may interact with multiple programs, often across separate systems. Fragmented data can lead to duplication, inconsistent decisions, or missed support.
Singapore’s Central Provident Fund Board modernized its data management approach with Azure Databricks to serve more than four million people with a more holistic view—a strong example of how connected data improves outcomes while reinforcing integrity.
Aligning eligibility with life events
Eligibility is not static. Circumstances change: employment shifts, caregiving arrangements evolve, households expand or contract.
Modern systems use AI, responsibly and with humans in the loop, to:
- Collect and structure evidence
- Surface relevant context
- Reduce administrative effort
- Route complex cases to specialists
The Washington, DC Child and Family Services Agency (CFSA) built an AI-powered platform that saves 45 minutes per intake and expects even greater time savings for investigations, while enabling new features to be deployed faster and at lower cost.
All AI capabilities described here align with Microsoft responsible AI principles and maintain human accountability throughout the process.
Detecting anomalies earlier to protect funds
Fraud and error often exploit timing: delayed verification, siloed data, or missing crosschecks.
European public sector fraud authorities are increasingly looking to augment AI‑powered analytics platforms with broader datasets, such as sanctioned entities and dormant companies, to strengthen early detection capabilities and help investigators surface potential risks sooner.
A practical path forward for social services and government leaders
Many eligibility modernization efforts stall because they focus on a single dimension—speed, cost reduction, or compliance—at the expense of the others. Microsoft’s approach is designed to advance service delivery, integrity, and trust together, using platforms that governments already operate and govern. That balance is what allows modernization to endure beyond a single program or funding cycle.
Whether a program is just beginning modernization or aiming to scale next-generation capabilities, leaders can start with achievable, high-value steps:
- Start where friction is highest: Identify the program with the heaviest documentation burden or the largest backlog. Early wins build momentum and trust.
- Treat identity as foundational: A strong identity layer protects against impersonation and enables secure self-service for residents and staff.
- Digitize the evidence pipeline: Use document intelligence to convert evidence into structured data so staff can focus on exceptions—not re-keying information.
- Connect data to reduce duplication and missed support: A holistic view—especially at the household level—helps ensure decisions reflect real circumstances and prevents duplicative benefits.
- Embed continuous integrity: Use signals, analytics, and network insights to focus oversight where risk is highest without creating barriers for eligible residents.
- Measure what matters: Track speed, accuracy, integrity, and resident experience together. Modernization that improves only one dimension rarely endures.
This is where Microsoft differentiates—enabling agencies to modernize eligibility without sacrificing accountability, trust, or program continuity.
A more trusted, human-centered future for benefits
For social services leaders, the next step isn’t a wholesale system replacement. It’s identifying where eligibility friction is highest—and where stronger identity, smarter evidence handling, or connected data could immediately improve outcomes for residents and staff.
Learn how agencies are applying these capabilities today and explore where modernization can start in your own programs.
Are you attending HIMSS Global Health Conference and Exhibition in March this year? Make sure to check out the Microsoft sessions and expo booth.
1US Government Accountability Office
