Regulatory reporting automation
CBK returns, supervisory stress submissions and board packs — mapped once from source to line item, with validation before sign-off.
Automation and business intelligence
Reporting and analytics, built like production systems.
Dashboards, regulatory reporting automation and data pipelines — engineered by the same team that builds our risk platforms.
The problem
Spreadsheets are not a reporting system.
Most risk and finance teams still spend reporting cycles rebuilding the same extracts. Data lives in core banking, treasury, risk and finance systems; the return or dashboard is assembled manually in spreadsheets each month. The logic is usually sound. The delivery mechanism is not — no version control, weak reconciliation trails, and knowledge concentrated in one analyst who could rotate. Automation does not mean removing judgement. It means analysts spend time on exceptions and explanations, not re-keying balances and chasing broken pivot tables.
We apply the same engineering discipline we use on our platforms to your recurring reporting and analytics — governed data models, repeatable pipelines, and dashboards your team can run without us in the room.
Capability
Four pillars
Risk and finance dashboards
Power BI and Metabase dashboards for impairment, capital, liquidity and portfolio monitoring — with measures defined once, not reinvented at month-end.
Data pipelines
Python and R pipelines that ingest, reconcile and publish curated datasets — so reports consume governed inputs, not raw exports.
Governed delivery
Version control, ownership and regression testing — the same maker-checker discipline we apply to model and platform work.
Delivery
How we implement
Scope.
We start with the returns or dashboards that consume the most manual effort — usually two or three high-friction outputs, not an enterprise data programme.
Architecture.
Source-to-report mappings in SQL or Power Query; presentation in Power BI or Metabase; orchestration in Python where batch logic is required.
Integration.
APIs and scheduled extracts from core banking, treasury and finance systems — without naming a single vendor as a prerequisite.
Timeline.
First automated return or dashboard typically live in four to eight weeks, depending on data quality and access.
Support.
From Nairobi and Kigali, by engineers who also maintain our production platforms.
Your data stays in your institution.
Pipelines and dashboards run inside your network. We do not receive customer-level records — only the access and extracts needed to build and hand over a governed solution.
Fit
Who it is for
Banks, microfinance institutions, SACCOs and insurers that need recurring regulatory or management reporting automated — without a multi-year data lake programme, and without outsourcing the logic to a black box.
Next step
Show us the return that hurts most.
Send the template, the sources and the deadline — we will come back with an approach, a timeline and a cost.