Why I Didn't Make It Fully Autonomous

Two days ago I shared the Collection Engine I built. The most common question I got back was not about the €336K it modelled. It was: why didn't you make it fully autonomous?

The pressure is real. Allianz Trade's 2026 Insolvency Report puts global business insolvencies up another 6% this year; their 2026 Collection Complexity Score sits at 47.2/100 (“High”). But AI in collections is not one thing. Three categories:

1. AI that works today: prioritisation, risk scoring, payment behaviour analysis, next-best-action. Coface already runs an AI-built score that moves credit limits dynamically. It answers the three questions every team faces every morning: Who needs attention first? Why is this customer risky? What happens next? This is where finance leaders should start.

2. AI that is overhyped: fully autonomous collections. B2B collections is not clean. Disputes. Pricing gaps. Credit notes. Relationship risk. Legal sensitivity. AI can prepare the case, suggest the action, trigger the workflow. Giving it full ownership today is not maturity. It is risk dressed as progress.

3. AI that is coming but NOT ready: real-time dispute resolution. The blocker is NOT the AI. It is Data Quality, Process Ownership, Integration, Accountability. AI cannot resolve a dispute in real time if the business cannot say where The Truth sits.

Use AI to prioritise, explain, recommend, route. Keep humans on judgment, negotiation, escalation, relationships. The winner will not be the company with the most AI. It will be the one that knows exactly where AI belongs.