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Modernise the Bank Without Betting the Bank

Big-bang core replacements concentrate every unknown in a bank’s estate into one cutover weekend, and regulators now expect evidence that services stay within tolerance while they change. The working pattern retires risk in slices – fixed-scope steps that each pay for themselves, with an AI-readiness lens so the estate never needs modernising twice.

Where Deals Lose Their Value: The Technology Red Flags Buyers Price In

By the time a buyer’s diligence team opens your data room, the headline price has already been agreed – everything the team finds moves it in one direction only. These are the technology red flags buyers are trained to price in, and how sellers defend their valuation by running the buy-side checklist against themselves first.

Your AI Is Quietly Rotting and You Can’t See It

Servers crash loudly. Models fail silently – they keep answering, slightly more wrongly, week after week. Most organisations that shipped AI in the last two years have no way of knowing whether it’s still right today.

The Demo Was the Easy Bit

The CFO question has changed from ‘what is our AI strategy’ to ‘show me where it is running’. Mark Beard, Founder and CEO of Vertex Agility, on why pilots die, why regulated businesses will pull ahead, and the honest test of any AI programme: count the workflows, not the pilots.

Buying AI Just Became the Easy Part

Nvidia and six of the world’s largest investors will mobilise more than $500 billion of third-party capital to finance AI compute, while OpenAI’s latest adoption data shows frontier firms pulling 8.3 times ahead of typical enterprises on actual use. Money has stopped being the constraint on enterprise AI – execution has not.

The Most Useful Number in AI Readiness Is a Gap

Every statement in the AI Leadership Readiness Scorecard is asked twice, once about you and once about your organisation. Leaders fixate on the two scores. The finding is the distance between them.

The AI Readiness Assessment Nobody Runs

Organisations audit their data, their infrastructure, and their vendors before an AI programme. The variable that best predicts failure sits at the head of the table, unexamined. The AI Leadership Readiness Scorecard measures it in about 15 minutes.

Your AI Agents Are About to Start Spending Your Money

The major payment networks have spent the past year building rails so AI agents can pay as principals rather than tools. Before an agent is connected to a payment rail, enterprises need spend authority, scoped identity, auditability, and a hard stop – controls most have never had to build.

Your GPUs Are Idling Because Your Data Isn’t Ready

Enterprises have bought GPUs faster than they can use them, and much of that expensive compute now sits idle waiting on fragmented, ungoverned data. Here is why the AI bottleneck has moved from compute to data readiness, and what fixing the data layer actually requires.