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The AI Adoption Maturity Level—Infographic The AI Adoption Maturity Model for Learning and Development illustrates an important reality highlighted by The AI Expectation Gap in Lea...
An ITSM maturity model is a practical framework for measuring where your Service Management stands across people, processes, technology, and governance, then turning that baseline...
Over the past year, I have sat in enough leadership conversations to notice a pattern. A CTO tells me their organization has "adopted AI" because most of the engineering team now h...
Insurance brokers have largely stopped asking whether AI matters, writes Tim Mole, Head of Document Intelligence at JAVLN, who sets out four stages of AI maturity and a simple rule...
AI is already showing up in indirect tax workflows whether or not there’s a formal process behind it. Indirect … The post AI compliance maturity assessment: How does your indirec...
AAI is taking its advanced agency analytics further, using artificial intelligence to turn data into clearer insights for agency owners. WESTMINSTER, Colo., October 19, 2026: Affor...
Independent agencies are adopting AI fast, but mainly for marketing. Applied is promising far deeper automation.
A firm can buy AI, but it cannot buy the data foundation AI needs to be useful. That has to be built, engagement by engagement, starting with the same problem every accounting and...
Generic AI coding tools speed up code but don't fix governance. Discover the 5-stage maturity model for autonomous data engineering in the agentic era.
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Leaders network meets for the first time to discuss insurance's tech transformation
Two-thirds of insurers and brokers have AI in production across core operations, yet most don’t consistently track returns
On 27 February 2024, Klarna and OpenAI announced that its AI assistant had handled 2.3 million conversations in a month; the equivalent, Klarna said, of 700 agents, cutting resolut...
- - • Insurance leads other industries in strategic commitment to AI. - - • Insurers gaining value from AI are prioritizing growth and improvement over cost reduction. -...
Somewhere in the last eighteen months, the AI question quietly resolved itself. Almost nobody in Singapore asks whether to adopt anymore. Accenture said 90 per cent of organisation...
There’s no question AI-enabled technology tools are helping agencies become more efficient. From chatbots to advanced data analytics and coverage comparisons, AI is making huge adv...
AI has moved from a talking point to a tool being used across private credit. But as larger firms grapple with compliance challenges, can it help smaller firms pull ahead of the co...
AI’s blank check is about to expire. In 2027, CMOs will face a tougher test: proving that AI delivers enough value to justify its growing costs and risks. Discover why the next pha...
Enterprise AI spending is rising faster than measurable value. This executive framework explains how to detect AI washing, verify vendor claims, assess technical and commercial per...
The past two years of testing, pilots, and experimentation have given most insurers a far clearer view of where AI can and cannot deliver value. Insurers, MGAs, brokers, and agenci...
As Artificial Intelligence (AI) moves deeper into insurance, the most useful applications may not be the most dramatic ones.
Over the past year, artificial intelligence has quietly moved from experimentation to everyday business operations. Companies have formalized their AI use for everything from draft...
How a client manages AI access, not just its defences, is shaping whether cover can get placed at all
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