Pakistan—SAFCO Digital Transformation

Client: FMO

Duration: 2025-2026

Region: Asia and the Pacific

Country: Pakistan

Solutions: Economic Growth Digital Acceleration

Access to finance for micro, small, and medium-sized enterprises (MSMEs) remains a challenge in Pakistan. SAFCO Microfinance Company, a leading microfinance institution in Sindh province, operates 74 branches and serves approximately 157,000 active clients with an outstanding loan portfolio of around US$21 million. SAFCO partnered with FMO, the Dutch development bank, to expand financial services to underserved communities—including women, farmers, SMEs, and populations affected by climate change—through a customer-first approach built on community mobilization and group lending.

DAI supported SAFCO’s digital acceleration under the  Digital Transformation Technical Assistance Facility, focusing on four priorities: reducing loan processing time, fostering a data-driven culture, building digital capacity, and strengthening cybersecurity.

Most of SAFCO’s customers are women, alongside farmers and families across Sindh’s rural and underserved communities. A faster, largely digital loan journey means fewer repeated branch visits and quicker, more convenient access to finance, while the automated scorecard for assessing loan applications ensures every applicant is assessed fairly and objectively.

For women entrepreneurs and rural borrowers who face the greatest barriers to formal finance, these changes make credit more accessible and responsive—reinforcing SAFCO’s customer-first mission and its standing as a trusted partner in the communities it serves.

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Sample Activities

  • Conducted a digital gap assessment of SAFCO’s technology, digitization maturity, and cybersecurity readiness, with mitigation strategies aligned to global standards.
  • Automated the end-to-end loan cycle—digitizing customer onboarding, lead capture, and multistage credit appraisal to cut turnaround time and standardize workflows across branches.
  • Introduced a digital scorecard model that automates credit decisions—replacing manual assessment with standardized, system-generated results to improve consistency and reduce human error.
  • Built data marts and dashboards to centralize reporting and equip staff with self-service insights for decision making.
  • Strengthened cybersecurity controls to close identified gaps and improve resilience.
  • Delivered digital capacity-building training to enhance staff data literacy and digital skills.
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