Notes on operations, automation, and AI for regulated firms — written by the team at MoiraCorp.
Most UK advisory firms are buying AI tools before they understand how AI actually works. That’s the wrong order. Five free, widely-respected resources every leader should read before they spend anything — covering prompting, AI behaviour, adoption frameworks, FCA expectations, and risk management.
McKinsey says over 80% of corporate AI adopters see no earnings impact. HBR explains why — it’s a general-purpose technology like electricity, not a quick win. Here’s the honest framework for evaluating whether AI will actually pay back in your firm.
McKinsey and MIT have been telling us why AI projects fail. The findings line up with what we see across our client work — and most of it is fixable. Five traps, four playbook moves.
Three sides of financial services — investment banking, running a business, advising regulated firms — and the same pattern in all of them. Capable people losing time to workflows that were never designed for the business they became.
IHT 2027 brings 213,000 estates into scope and a capacity squeeze that AI will be expected to absorb. Here’s why the workflow needs to be a compliance question first.
The considerable amount of information contained in GenAI “clouds” makes them almost indispensable to user interface in product marketing, finance or legal assistance.
Book a 30-minutes discovery call with our team to explore if AI and automation can be of use in your business.
Most UK advisory firms are buying AI tools before they understand how AI actually works. That’s the wrong order. Five free, widely-respected resources every leader should read before they spend anything — covering prompting, AI behaviour, adoption frameworks, FCA expectations, and risk management.
McKinsey says over 80% of corporate AI adopters see no earnings impact. HBR explains why — it’s a general-purpose technology like electricity, not a quick win. Here’s the honest framework for evaluating whether AI will actually pay back in your firm.
McKinsey and MIT have been telling us why AI projects fail. The findings line up with what we see across our client work — and most of it is fixable. Five traps, four playbook moves.
Three sides of financial services — investment banking, running a business, advising regulated firms — and the same pattern in all of them. Capable people losing time to workflows that were never designed for the business they became.
IHT 2027 brings 213,000 estates into scope and a capacity squeeze that AI will be expected to absorb. Here’s why the workflow needs to be a compliance question first.
The considerable amount of information contained in GenAI “clouds” makes them almost indispensable to user interface in product marketing, finance or legal assistance.
