Sector Programmes · Fine-Tuning
Six established programmes covering the industries where fine-tuned models earn their keep fastest. Each engagement is scoped in consultation and quoted individually — there is no public price list, because no two deployments are alike.
How engagements work
Programmes
Underwriting, claims, and fraud models trained on insurance data and aligned with FSCA and FAIS requirements from the outset.
Agent assist, sentiment analysis, and post-call automation for high-volume contact centre operations.
Credit risk, real-time fraud detection, and AML compliance for banks and financial institutions.
Clinical documentation, risk stratification, and claims validation with POPIA-compliant data handling throughout.
Hands-on programmes that make AI part of how your team works — built around your industry, your tools, and your roles.
A structured working session that maps your highest-ROI use cases and leaves you with a concrete adoption roadmap.
All programmes begin with a consultation. Select a programme to book.
Other Sectors
The six programmes above are where we've built repeatable depth — but the method behind them applies to any sector with domain data and expensive manual decisions. Legal, logistics, agriculture, mining: tell us what the work looks like and we'll scope a programme around it, with the same compliance, ownership, and handover terms as every other engagement.
Why Sector Fine-Tuning
Generic models miss sector context. Ours are trained on industry terminology, document formats, and real operational data — accurate from the first week, not the first year.
FSCA, FAIS, POPIA, AML — regulatory constraints are designed into the model and the deployment, not patched on after an audit finding.
Every programme ends in a deployed system with monitoring, cost tracking, and full handover. Typical time from engagement to production is under six weeks.
A consultation scopes the work, the data, and the ROI — before anything is signed.