Modernising insurance across East & Southern Africa.
Insurance modernisation here means fixing claims, underwriting and policy admin — not bolting a chatbot onto a broken stack. Carriers that win remaster data, keep humans on high-severity decisions, then apply AI where loss ratios actually move.
EdgeTech Insurance practice — systems we audit, advise on and build.
Why insurance digitisation stalls — and what unsticks it.
Most regional carriers shipped a portal or “claims AI” and still wait weeks on FNOL. The bottleneck is policy data, exception-heavy workflows and regulators who correctly refuse black-box denials.
The guides below track that sequence: remaster claims and policy reality, keep humans accountable, reject personalisation theatre, then underwrite with local data.
Insurance, guide by guide.
Claims beyond legacy bottlenecks
Modernising FNOL-to-settlement without theatre.
Read the guideThe automated claims myth
What “straight-through” really costs in African markets.
Read the guideHuman-in-the-loop
Why full automation fails regulators and customers.
Read the guideHyper-personalisation trap
When personalisation locks out the uninsured.
Read the guideBeyond the digital wrapper
Apps on a broken policy stack are still legacy.
Read the guideUnderwriting reality
African risk data beats imported chatbot hype.
Read the guideWe wire the claims and policy stack — not just the slide deck.
From claims workflow and data clean-up to underwriting support and compliance-ready audit trails. Audit · Advisory · Technology.
EdgeTech Insurance Practice
Claims · Underwriting data · Policy admin · since 2014
Questions we get asked.
Can AI fully automate claims in East Africa?
Where should an insurer start?
Is human-in-the-loop optional?
What does EdgeTech do for insurers?
Shape an insurance brief.
Stuck on claims, underwriting data or policy admin? We'll bring the team that builds it.