Tag: IntellectAI
How a carrier launched an excess casualty line in 15 weeks
In the fast-moving Excess & Surplus (E&S) market, launching a new line of business typically takes anywhere between 12 and 18 months. Legacy system...
How to choose the right WealthTech software in 2026
Selecting the right wealth management software has never been more consequential. As advisory firms face mounting regulatory scrutiny, growing client volumes, and increasingly complex...
The hidden cost of manual processes in wealth management
The digitalization of the wealth management industry has been in full swing for many years, with firms looking to replace outdated and manual workflows...
How are data quality and intelligence becoming a competitive advantage in...
Despite being in the data age, many wealth management firms are yet to realise the full potential of their data. An EY study in 2025...
How IntellectAI helped a Middle East firm build a WealthTech platform
IntellectAI has helped a leading Middle East financial services group launch what is described as the region's first robo-advisory platform.
The institution, which operates across...
South Asian wealth giant taps IntellectAI for AI platform
A large, unnamed financial services group in South Asia has partnered with IntellectAI to enter the wealth management market through a deliberate, first-principles approach...
What is post-trade settlement and how does it work?
When a trade is executed on an exchange or trading venue, the work is far from over. Post-trade settlement is the series of processes...
AI-native wealth management reshapes advice
Wealth management is approaching a structural inflection point as artificial intelligence shifts from isolated experimentation to becoming embedded in decision-critical workflows.
Across advisory businesses, AI...
Autonomous quality engineering: AI testing in 2026
AI in testing is moving past experimentation and into a more strategic phase for 2026, as organisations look for measurable ways to accelerate delivery...
Enterprise AI in 2026: scaling is a people problem
Enterprise AI in 2026 is no longer defined by whether the technology works. Across leadership teams, the more pressing question has shifted to why...










