Credit Risk Scoring
Use repayment history, account activity, transaction patterns, and available bureau or partner data to support transparent credit review and committee decisions.
Governed AI & Decision Support
Governed scoring, fraud triage, portfolio review, and decision support for regulated banking operations.
AI for banking teams
Explore where decision support fits into an institution’s controls.
Credit review
Bring repayment history, account activity, and approved data into credit review. AI can explain a recommendation; the institution owns the lending decision.
Discuss your AI use case →Evaluate Ethiopian-language accuracy, locally representative credit and fraud data, customer consent, and institution-approved data residency before rollout. Local language models and AI ecosystem connections are integration opportunities to assess for each institution.
Explore banking governance →SelamNow supports risk teams, credit teams, operations, and compliance reviewers with explainable signals, case queues, portfolio monitoring, and review workflows. Recommendations inform operators without bypassing policy, approvals, audit trail, or deterministic platform controls.
Use repayment history, account activity, transaction patterns, and available bureau or partner data to support transparent credit review and committee decisions.
Surface unusual account activity, suspicious transactions, and exception patterns for review, escalation, temporary holds, or additional authentication.
Route alerts, risk flags, KYC refreshes, repayment concerns, and operational exceptions into accountable queues with status, owner, evidence, and outcome history.
Track early warning signals across loans, deposits, channels, branches, and customer groups before risk becomes harder to manage.
Keep approval paths, limits, overrides, and exceptions tied to institution policy so operators can see why a decision needs review.
Attach signals, recommendations, operator decisions, and final outcomes to the audit trail for later review by management, auditors, or regulators.
Use mobile money records, utility payments, savings behavior, and repayment history to help build credit context for customers with limited bureau history.
Review transaction consistency, account activity, repayment timing, and financial habits alongside standard credit rules.
Refresh risk posture as new account, repayment, and transaction data arrives, while preserving human review where policy requires it.
Support first-time borrowers with transaction, savings, and repayment evidence while keeping final decisions accountable and reviewable.
Flag unusual amounts, unexpected timing, atypical channel behavior, or activity inconsistent with the customer profile.
Review transaction locations, device context, and channel activity when behavior suggests potential account compromise.
Support step-up authentication, temporary holds, review queues, and controlled release when activity requires additional assurance.
Use confirmed fraud, false positives, and review outcomes to tune rules, thresholds, and operating procedures over time.
Next step
Contact our team to discover how SelamNow can transform your financial institution.