FOR FUNDERS, LENDERS, AND DFIS

See the business behind every funding decision.

Mothusi prepares SMEs for the right capital pathway with evidence-backed readiness, transparent risk visibility, and post-funding monitoring. Each funding pack is built from the SME's growth record: financial discipline, customer proof, compliance freshness, evidence confidence, risk signals, funding purpose, and readiness gaps. Funders see what is verified, what is missing, and what should happen before or after capital is deployed.

Built to integrate with lender decisioning, credit-risk teams, and DFI portfolio analytics.

THE PROBLEM

Lenders see applications. They do not see businesses.

An application form is a thin view of an SME. Credit teams reconstruct the business from PDFs, statements, certificates, and assumptions, often under time pressure and with incomplete evidence. Mothusi gives funders the structured evidence behind the application: what is verified, what is self-reported, what is stale, what is missing, and what the SME should do next.

Thin application packs

Documents arrive incomplete, inconsistent, or out of date. Decisions are delayed or declined for fixable reasons.

No post-funding visibility

Once capital is deployed, many funders lose operating visibility until risk appears in arrears, missed reporting, or portfolio deterioration.

Wrong-product applications

SMEs apply for products they are not ready for or that do not fit their funding purpose. Mothusi routes them to a better pathway before the relationship is damaged.

Risk reconstruction

Credit officers rebuild the SME picture from scattered evidence. Mothusi organises the evidence before the file reaches review.

CAPITAL LIFECYCLE

Evidence before, during, and after funding.

Funders see the SME before the application form arrives, while the file is under review, and after capital is deployed.

  1. 01

    Before application

    Mothusi shows whether the SME is ready, what evidence exists, what is missing, and which capital pathway fits.

  2. 02

    At review

    The funder receives an evidence-backed funding pack with source confidence, readiness gaps, risk signals, and a clear SME narrative.

  3. 03

    After disbursement

    Monthly updates, evidence freshness, compliance status, and risk signals continue to update the monitoring view.

WHAT MOTHUSI DELIVERS

The capabilities that close the gap.

  1. 01

    Evidence confidence per claim

    Every signal shows its evidence level: self-reported, AI-assisted check, document-supported, live-data supported, or third-party verified.

  2. 02

    Financial discipline signals

    Monthly reporting rhythm, cash buffer, books quality, revenue support, expense tracking, tax freshness, and reporting discipline visible per SME.

  3. 03

    Customer and offtake proof

    Buyer relationships, signed contracts, purchase orders, invoices, payment evidence, delivery records, and offtake stability captured as commercial proof.

  4. 04

    Risk and compliance freshness

    Forward-looking risk indicators, document expiry, compliance freshness, customer concentration, sector exposure, and unresolved evidence gaps.

  5. 05

    Right-pathway routing

    SMEs that are not ready for one product are routed to the next best step: evidence upload, bankability sprint, compliance refresh, invoice finance, working capital preparation, or post-programme review.

  6. 06

    Post-funding monitoring

    After disbursement, monthly updates, discipline freshness, evidence changes, compliance alerts, and operational signals flow back into the monitoring view with SME consent.

FUNDER TOOLKIT

Eight tools, grouped by where in the capital lifecycle they help.

Application evidence. Readiness and risk. Post-funding monitoring. Portfolio intelligence. Each tool maps to a real decision a credit, risk, or portfolio team makes.

  • 01APPLICATION EVIDENCE

    Lender-ready evidence pack

    Mothusi generates a structured pack from the operator's growth record: documents, contracts, financial summary, risk profile, and a lender summary in the language credit officers read. No more reconstructing the business from a thin application form.

    What it produces
    • Document pack
    • Financial summary
    • Risk profile
    • Lender narrative
  • 02APPLICATION EVIDENCE

    Hash-verifiable export

    Every pack ships with a signed manifest of the underlying record. Credit risk teams can verify the integrity of the evidence without contacting Mothusi. Tamper-detection is built in.

    What it produces
    • Signed manifest
    • Hash chain
    • Independent verifiability
  • 03READINESS AND RISK

    Forward-looking risk signals

    Beyond backward-looking financials, Mothusi surfaces forward-looking signals: cash buffer depth, customer concentration, compliance freshness, runway visibility.

    What it produces
    • Cash buffer signal
    • Concentration risk
    • Compliance freshness
  • 04READINESS AND RISK

    Evidence confidence per signal

    Every signal carries an evidence grade: self-reported, AI-assisted check, document-supported, live-data supported, third-party verified. Credit officers see what is verified and what is not.

    What it produces
    • 5-rung evidence grade
    • Per-signal verification status
    • Source attribution
  • 05POST-FUNDING MONITORING

    Monthly monitoring cadence

    Once disbursed, the relationship does not go dark. Monthly structured reports flow back automatically with SME consent. Discipline freshness is tracked.

    What it produces
    • Monthly cadence
    • Discipline tracking
    • Evidence updates
  • 06POST-FUNDING MONITORING

    Document expiry alerts

    Tax clearance, BEE certificate, licences, insurance. Expiry monitored across the portfolio with pre-lapse alerts to credit officer and operator.

    What it produces
    • Expiry monitoring
    • Pre-lapse alerts
    • Renewal tracking
  • 07PORTFOLIO INTELLIGENCE

    Cohort risk analytics

    Portfolio-level diagnostics by stage, sector, geography, and issue cluster. Where is concentration forming? Which interventions are improving outcomes?

    What it produces
    • Cohort diagnostics
    • Sector concentration
    • Intervention efficacy
  • 08PORTFOLIO INTELLIGENCE

    Re-application predictor

    Which operators are approaching readiness for the next capital event? Flagged so credit teams can prepare ahead of the application, not after.

    What it produces
    • Readiness pipeline
    • Pre-application briefing
    • Right-product matching
EVIDENCE FOCUS

The signals this audience produces and consumes.

Different audiences read the same growth record differently. These are the specific signals this audience needs to capture, verify, or rely on.

  • Verified financial discipline (monthly rhythm, cash buffer, books quality)
  • Customer concentration and offtake stability
  • Compliance freshness across tax, licensing, and sector regulators
  • Risk band and forward-looking signals
  • Funding purpose and product fit
  • Shared evidence pack and consent status
  • Post-funding repayment behaviour and operational evidence
WHO BENEFITS

Different stakeholders. Same source of truth.

AudienceValue delivered
Credit officersReceive structured evidence packs with source confidence, readiness gaps, and a clear SME narrative.
Risk teamsSee forward-looking operating signals before risk only appears in arrears or missed reporting.
Portfolio teamsMonitor SME health after disbursement through monthly cadence, compliance freshness, and evidence updates.
DFIs and impact lendersTrack capital readiness, post-funding movement, and operator-level impact evidence across cohorts and portfolios.
SMEsAvoid wasted applications and understand what evidence is needed before approaching capital providers.
GET STARTED

Ready to deploy Mothusi for Funders and Lenders?

A briefing covers the deployment model, the integration surface, the data governance posture, and a working session against your specific operational reality. Not a marketing demo.

From business support to measurable enterprise development. Across sectors, countries, and real operating environments.