hola credit
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hola credit

Cash-flow underwriting support for Namibian lenders and retailers.

Product

  • Product
  • How scoring works
  • Security

For Lenders

  • For Microlenders
  • For Retailers

Resources

  • Resources
  • Guides
  • Statement readiness
  • Responsible credit

Company

  • About
  • Contact
  • Brand

Legal

  • Privacy
  • Terms
  • Consent

A product by Tangison Technologies

hola@tangison.com

hola credit
ProductFor MicrolendersFor RetailersHow Scoring WorksSecurityAboutContact
Explore the demoJoin waitlist

For Microlenders

Review more than a salary line.

Many Namibian microlenders work with applicants who earn consistently but not through a single employer deposit. Hola Credit provides structured cash-flow evidence from borrower-authorised bank statements so that loan officers can review irregular-income applicants with the same rigour they apply to salaried cases, without assuming that every viable borrower arrives with a payslip.

Exception underwriting, not exception handling

When a loan officer encounters an applicant without a standard salary deposit, the typical response is to escalate, request additional documentation, or decline the case on incomplete information. This is not a failure of the applicant — it is a gap in the evidence available to the underwriter. Hola Credit addresses that gap by converting the bank statement the applicant already has into structured, reviewable cash-flow evidence.

The assessment is designed to sit alongside the lender's existing bureau checks and human judgement. It does not replace the lender's own policies, override risk thresholds, or make the lending decision. It supplies supplementary evidence that the loan officer can weigh, question, and act on — or choose not to act on — exactly as they would with any other input in their review process.

What the evidence trail looks like

Every Hola Credit assessment includes an income floor, a consistency measure, a volatility indicator, a trend direction, concentration signals, and a plain-language explanation of what the data can and cannot support. Each of these components is derived from the extracted transactions in the statement, and each carries a confidence level that reflects the quality of the underlying data.

Low-confidence or uncertain transactions are flagged for human review rather than silently included. The loan officer can see exactly which transactions contributed to each component, which were excluded, and why. This is not a black-box score — it is a structured evidence trail that the lender can trace from the raw statement through to the final assessment.

Built for how risk teams actually review

01

Organisation-scoped cases

Each application belongs to the lending organisation that created it. Loan officers see only their own cases. Risk managers can review all applications, overrides, and flags across the organisation. Compliance auditors can read cases, consent records, and audit history without the ability to edit decisions. Role boundaries are enforced on the server, not just in the interface.

02

Deterministic scoring, not model discretion

The cash-flow assessment is calculated by versioned, deterministic code. The same inputs and the same policy version always produce the same result. AI is used to extract and categorise transactions, but the scoring engine itself does not use a model that could vary its output. When the policy changes, the version is recorded immutably so that every historical assessment remains traceable to the rules that produced it.

03

Human ownership of the final decision

Hola Credit does not approve or decline an applicant. The assessment supplies evidence, confidence levels, and limitations. The lender adds their own notes, applies their own policies, and makes the final decision. That decision is recorded separately from the Hola Credit assessment, so the audit trail is always clear about who decided what and on what basis.

Operational speed without cutting corners

Microlending operations process high volumes of applications with limited staff. Hola Credit is designed to reduce the time a loan officer spends interpreting a bank statement, not to eliminate the review step. The upload-to-assessment pipeline targets completion within sixty seconds at the defined percentile, but this is a processing-time target, not a claim about decision quality or approval outcomes.

When the extraction model encounters low-confidence data, the system routes the case to a human review queue rather than guessing. This means that the fastest cases are the ones where the data is clear, and the cases that need more attention receive it. The operational gain comes from structuring the evidence so that the loan officer can focus on judgement rather than manual statement parsing, not from automating the decision itself.

Hola Credit does not promise higher approval rates or lower default rates. Those are outcomes that depend on the lender's own policies, the quality of their existing bureau data, and the repayment behaviour of their portfolio — none of which are within Hola Credit's control or claim.

Explore how Hola Credit fits your lending workflow

Pilot access is available for authorised Namibian microlenders who want to evaluate cash-flow evidence alongside their existing assessment process.

Request pilot accessSee how scoring works
hola credit

Cash-flow underwriting support for Namibian lenders and retailers.

Product

  • Product
  • How scoring works
  • Security

For Lenders

  • For Microlenders
  • For Retailers

Resources

  • Resources
  • Guides
  • Statement readiness
  • Responsible credit

Company

  • About
  • Contact
  • Brand

Legal

  • Privacy
  • Terms
  • Consent

A product by Tangison Technologies

hola@tangison.com