Merx reports on ASAP Credit and Weritas partnership
Summary
Coverage of the partnership needed to highlight how women in Kenya still cope with fragmented digital-identity systems, opaque credit, and limited AI safeguards that leave them vulnerable to fraud and exclusion.
NAIROBI — MARCH 21, 2026 — Highlight: Merx published a news brief on the partnership, noting how the research-first pilot aims to keep Kenyan women safe as it blends AI, identity, and security. Read the Merx brief.
Weritas and ASAP Credit are treating the collaboration as a joint lab where every experiment starts with community input and regulatory checks, rather than a rushed launch.
Documenting how AI stays fair
The partners are recording each AI underwriting test, sharing both models and data privacy protocols with Merx so readers understand the safeguards. They also detail how Kenyan digital IDs and M-Pesa proofs can be stitched into onboarding so women prove their identity without losing time or trust.“Every Merx story helps us explain that fairness and explainability are non-negotiable,” said Faith Nyaga, head of policy at Weritas. “Media pressure keeps us honest about how we serve women with accessible tools.”
Sharing secure, inclusive rails
The Merx feature spotlights the encrypted transaction tunnels, multi-factor steps, and fraud-scoring guardrails being piloted. Weritas and ASAP Credit share those findings with regulators, which lets them co-design future compliance blueprints that keep women’s funds protected.Impact beyond the press release
Distribution through Merx amplifies the message that Kenyan women can expect AI, identity, and security to be stitched together before new credit products ship. That broader awareness comforts entrepreneurs, savings groups, and policy partners who watch the pilot’s progress.About Weritas
Weritas is a women-led fintech studio that pairs AI, identity, and secure infrastructure to design inclusive finance for African communities. We partner with regulators and lenders to prototype trustworthy products.Learn more: