AI in Insurance
Your best underwriters can't review everything
Volume is beating judgment. The claims that deserve attention are buried under the ones that don't.
Insurance runs on human judgment applied to massive data. The problem is the ratio: too much data, not enough time. Your experienced people are making decisions with incomplete information because the volume won't let them do otherwise. That's where AI changes the equation - not by replacing judgment, but by making sure it's applied where it matters. We've seen insurers achieve 25% of employees using AI daily within months of structured training - with three or more AI agents moving from pilot to production.
Industry challenges
Claims that sit when they shouldn't
Straightforward claims take days because they're in the same queue as complex ones. Your customers are waiting for decisions you could have made in minutes.
Risk data your underwriters can't get to
Satellite imagery, behavioural patterns, third-party data feeds - the signals are there. But your underwriters have 40 files open and can't go looking.
Fraud that looks legitimate until it doesn't
Your claims handlers know which ones smell wrong. But they're drowning in volume and can't get to them fast enough. Pattern recognition at scale is exactly where rules-based systems break down.
What our clients say
“What makes WAIMAKERS so strong is their practical and hands-on approach. What sets them apart is their strong focus on concrete applications. Inspiring and very accessible.”
Ingrid de Swart
COO/CTO, Lid Raad van Bestuur, a.s.r.
“Wouter and his team helped us explore how AI can strengthen OpGroen's mission: delivering efficient, people-focused insurance while reducing complexity. The fact that we left the session with ready-to-test assistants made it all the more valuable.”
Ron Gardenier
CEO, OpGroen
AI use cases
Policy comparison agents that check before you commit
When new requirements come in, AI checks them against existing coverage - across product lines, policy versions, and exclusion clauses. Your account managers stop missing gaps and your clients stop discovering them at claim time. We've built these for insurers handling multiple product lines simultaneously.
Underwriting that uses all available signal
Risk assessment that pulls in the data your underwriters wish they had time to review - satellite imagery, behavioural patterns, alternative data sources - and surfaces it at the decision point.
Fraud pattern detection that scales
Models that learn what legitimate claims look like and flag anomalies - including coordinated fraud rings that no single claim would reveal. Your investigators work the cases worth working.
Meeting intelligence that turns broker visits into structured data
Your field team runs dozens of broker meetings a week. AI captures, summarises, and extracts action items from every conversation - creating structured visit reports in minutes instead of hours. Teams we've worked with report 80-90% time reduction on meeting documentation, freeing 200-400 hours per employee annually.
Let's talk about where volume is beating judgment in your operation.
Schedule a free strategy call and discover how AI can transform your industry.