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Field notes

What we learn where revenue is won.

Practical writing from our specialists and AI consultants — on revenue yield, life-science processes and the ModelN platform. No hype, just what works.

Revenue Yield7 min read

Revenue leakage: what it is, where it hides, and how to stop it

Most companies lose 1–5% of revenue to leakage they never see — discount creep, missed rebates, chargeback errors, contract drift. This guide shows where it hides and how AI plus your own experts find it.

October 3, 2026Read
AI in Revenue5 min read

Where AI actually moves revenue — and where it doesn't

Most AI-for-revenue projects die in a slide deck. The ones that work share three traits: a named owner, a measured baseline, and a model trained by the people who already know the answer.

September 18, 2026Read
Life Sciences6 min read

Taking life-science business processes to the next level with AI

Gross-to-net, government pricing, patient access — life-science processes are data-rich and rule-bound, which makes them the best AI territory in any industry. Here's where the yield hides.

September 25, 2026Read
ModelN5 min read

Migrating legacy Flex to ModelN SaaS without losing a single rule

Legacy Flex environments carry years of pricing logic, customizations and institutional knowledge. A phased migration to ModelN SaaS keeps all of it — if you audit before you move.

October 1, 2026Read

Reading is good. Measuring your own yield is better.

Try the AI opportunity finder with your own business area and challenge — or start a project inquiry and talk to a specialist.