Industries ยท Banking

Private AI built for Kenyan banks.

Compliance copilots, policy search, and document intelligence that run inside your perimeter, inside your perimeter, off US or Irish cloud GPUs.

Kenyan banking organisations are under pressure to adopt AI, and under equal pressure to keep sensitive data inside Kenya. Corvux deploys open-weight LLMs and workflow agents on infrastructure you control in Nairobi.

We combine on-premise infrastructure, custom agents, and a clear KDPA compliance path so you can move fast without gambling on foreign APIs.

What we ship

Use cases that count in production.

Compliance copilot

Staff query CBK circulars and internal policy in plain language. Answers cite sources. Zero data egress.

KYC & onboarding assist

Summarise packs, flag missing docs, draft reviewer notes, processed on your Nairobi infrastructure.

Board & audit packs

Turn dense board papers into structured briefs with risks, actions, and deadlines highlighted.

Shadow AI control

Map where teams already use ChatGPT and replace those flows with a local, auditable endpoint.

FAQ

Questions from banking leaders.

Can Kenyan banks use ChatGPT for customer data?

Pasting customer data into a public chatbot is a Section 48 transfer conversation (and, if the processing is prescribed, a Section 50 Kenya-server conversation) for your DPO and counsel, beyond anything we can bless from a webpage.

How fast can a bank deploy private AI?

Corvux targets a four-step path, audit, deploy on Kenya-based GPUs, integrate a local API, then maintain, usually scoped in weeks once we see the data class.

Why banking is different

Shadow ChatGPT meets CBK and KDPA.

In Kenyan banking, the highest-value AI use cases almost always touch CBK circulars, KYC, and core-banking adjacent workflows. That is exactly the data you cannot casually send to a foreign LLM. Teams still do it, because the tools are easy, until risk, internal audit, or ODPC scrutiny arrives.

Corvux replaces that pattern with private infrastructure and agents that speak your vocabulary. Models stay on Kenya-based GPUs. Applications call a local endpoint. Humans stay in the loop where a person still decides.

Recommended rollout

A sequence that survives scrutiny.

01
Step 1
Map which desks already use ChatGPT or Copilot on customer-adjacent work.
02
Step 2
Stand up a Kenya-hosted model endpoint with access controls aligned to your AD/IAM.
03
Step 3
Pilot a compliance copilot on a closed policy corpus with citation requirements.
04
Step 4
Expand to KYC summarisation and board-pack assist once audit logging is proven.

Deepen the legal framing in our KDPA AI compliance guide. Compare architectures on Private AI vs ChatGPT. When you are ready to scope hardware and APIs, go to infrastructure or contact.

Ready for private AI in banking?

Tell us your stack. We will map a 30-day path to a local deployment.

Request a deployment