Kenya's telecoms serve 60 million subscribers and process $314 billion in M-Pesa transactions annually. The infrastructure managing that at scale is under pressure from every direction.

The strongest prevention starts before the fraud attempt happens: strong eKYC at SIM registration and swap requests, biometric checks, document verification, and liveness detection, makes it far harder for a fraudster to impersonate a subscriber in the first place. Layered with real-time monitoring on call and transaction patterns, that combination catches fraud before it succeeds rather than after the loss is already booked.

Full-stack observability brings network, billing, and operations data into one real-time view, so a network operations team sees a degrading node or a service disruption the moment it starts instead of finding out from customer complaints the next day. That same visibility feeds directly into faster, more accurate regulatory reporting, since the data used to catch problems early is the same data operators need to answer to the Communications Authority.

Generative AI trained on network, customer, and transaction data can summarise support interactions, draft customer communications, and flag anomalies across fraud, network, and billing data at a scale no manual team can match. Kitsilano builds these models on top of a unified data platform, so every use case draws on the same underlying intelligence instead of a one-off tool bolted onto legacy systems.

Customer 360 unifies a subscriber's prepaid, postpaid, mobile money, and support history into a single profile, so an agent handling a call or a system flagging churn risk sees the complete picture instead of one fragment of it. For operators managing tens of millions of subscribers across multiple product lines, that single view turns support and retention from guesswork into a repeatable process.