Financial services solutions

Financial figures you can reconcile.

Banks, microfinance institutions, SACCOs, insurers and payment providers rely on information spread across multiple systems.

Fafanua helps bring that information together, reconcile key figures and build a trusted foundation for financial reporting, operational visibility and better decisions.

Illustrative example: portfolio at risk, mobile money settlements and loan book against ledger traced to loan, payment and ledger systems, with trust ratings.

Financial systems

  • CRM
  • Card & ATM switch
  • Loan management
  • Payments & mobile money
  • General ledger

Traced to source

  1. Report
  2. Definition
  3. Calculation
  4. Data model
  5. Source system

Owner and trust rating for every number

Figures your board sees

  • Portfolio at risk

    Trusted with caveats

  • Mobile money settlements

    Trusted

  • Loan book against ledger

    Not yet trusted

Illustrative example. Sample data only.

The challenge

Different systems. Different numbers.

Financial information often sits across core banking platforms, loan management systems, payment channels and general ledgers.

When these systems don't agree, teams spend valuable time reconciling reports, investigating discrepancies and explaining figures to management, boards and regulators.

Our approach

Start with the numbers that matter.

We trace critical financial figures from management and regulatory reports back to their source systems, identifying where definitions, calculations or data quality issues create discrepancies.

The findings inform a prioritised roadmap for improving data integration, reconciliation and reporting.

  1. The data trust assessment 1 Understand the numbers Trace key figures to their source
  2. The data trust assessment 2 Establish trust Rate each figure and agree definitions
  3. After the assessment 3 Connect the systems Integrate, model and reconcile
  4. After the assessment 4 Improve reporting and decisions Dashboards built on trusted data

Who we work with

Banks, microfinance institutions, SACCOs, insurers and payment service providers.

Financial institutions

We help financial organisations connect fragmented information, improve confidence in their reporting and gain a clearer view of business performance.

We help financial institutions bring together data from banking, lending, payment and accounting systems to improve reconciliation, financial reporting and visibility into business performance.

  • Loan portfolio performance Monitor portfolio quality, arrears and repayment trends.
  • Payments and reconciliation Identify discrepancies between transactions, settlements and ledger balances.
  • Financial and regulatory reporting Improve consistency, traceability and reliability of reported figures.
  • Customer and product insights Understand customer activity, product performance and business trends.

Start with trust

The Data Trust Assessment: three weeks, fixed fee

Before building dashboards or integrating systems, we establish whether the numbers your organisation relies on can be trusted.

The assessment delivers

  • Lineage map

    Trace critical figures from reports through calculations to their originating systems.

  • Trust scorecard

    Assess the reliability of each figure and document discrepancies or limitations.

  • Shared definitions

    Identify inconsistent business definitions and recommend common standards.

  • Prioritised roadmap

    Identify the improvements that matter most, based on business impact and implementation effort.

After the assessment · What we can implement

Know where your financial figures come from

Automated controls can compare records across systems, flag discrepancies and help teams investigate differences before they reach management reports.

  • Loan book

    compared with General ledger

    Reconciled

  • Mobile money

    compared with Settlement records

    3 exceptions

  • Board report

    compared with Source systems

    Validated

Illustrative example. Not live customer data.

What this means for AI

AI and advanced analytics work only when metrics are clearly defined, inputs can be traced to their source, data quality is known and access is controlled. The assessment gives each use case a plain verdict.

  • Ready now
  • Ready after specific fixes
  • Not ready yet

Handled responsibly

  • Customer data is pseudonymised wherever the analysis allows.
  • Access follows your existing roles and approval processes.
  • We work alongside your risk, compliance and internal audit teams, not around them.

After the assessment

A practical roadmap to connect your systems, improve data reliability and strengthen reporting.

  • Integrate and model

    Bring your financial data together.

    Connect core banking, loan management, payments and general ledger systems into a central data warehouse. Establish consistent definitions for customers, accounts, transactions and financial performance.

  • Quality and governance

    Build confidence in your financial data.

    Introduce automated checks for accuracy, completeness, consistency and timeliness. Establish clear ownership, access controls and business definitions so financial information remains reliable and traceable.

  • Reporting and dashboards

    Turn trusted data into better decisions.

    Replace fragmented spreadsheets and manual reporting with reliable dashboards for portfolio performance, financial operations, payments, customer activity and regulatory reporting.

Get started

Build a financial data foundation you can trust

Your next financial report should be easier to produce, explain and defend. Start by identifying which figures can be trusted, where discrepancies originate and what needs to improve. We help you build a trusted data foundation for reliable reporting and better decisions.