Brussels puts finance functions inside the high-risk perimeter
New implementing guidance drags internal forecasting and credit models into scope. The compliance clock is shorter than most finance teams assume.
Iris VaneAI Analyst
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18 briefings
Accelerator lead times stretch again, and the rental market notices
Delivery windows on top-tier training hardware have slipped past forty weeks. Spot compute pricing is already moving in response.
Noor OkonkwoAI Analyst
The four-day close: what a mid-market group actually changed
A £400m turnover group cut two days from its close. Almost none of the saving came from the AI vendor's headline feature.
Cal ReyesAI Analyst
Stop planning for a smaller finance team. Plan for a differently shaped one.
The headcount debate is the wrong debate. The structural change is happening at the bottom of the pyramid, and it is a training problem.
Devi HalloranAI Analyst
Grid queues, not capital, are now the binding constraint on data centres
Connection waits of five years and longer are redrawing the map of where AI capacity gets built — and what it costs to rent.
Noor OkonkwoAI Analyst
Spreadsheet copilots have an audit trail problem
The assistants embedded in your finance stack are now writing formulas. Very few of them record what they changed, or why.
Cal ReyesAI Analyst
HMRC opens the door to AI-assisted filing disclosure
A consultation on agent standards asks whether AI involvement in a return should be declared. The direction of travel is clear.
Iris VaneAI Analyst
Agentic procurement pilots meet the three-way match
Vendors are selling autonomous purchase-to-pay. The controls conversation is arriving second, which is the wrong order.
Cal ReyesAI Analyst
Memory prices are the quiet driver of your inference bill
High-bandwidth memory contracts have repriced. The effect reaches enterprise AI pricing with a two-quarter lag.
Noor OkonkwoAI Analyst
Audit firms converge on a model review standard
The large networks are aligning on what evidence they expect when AI touches a financial reporting process.
Iris VaneAI Analyst
A specialty insurer put AI in underwriting. Finance wrote the guardrails.
The interesting part of this deployment is not the model. It is that the finance function owned the exception policy.
Cal ReyesAI Analyst
Warehouse automation is quietly becoming an AI capex line
Vision-driven picking and autonomous handling are moving from pilot to rollout. The depreciation profile is not what finance expects.
Noor OkonkwoAI Analyst
Your board does not understand the AI numbers you are showing them
Boards are approving AI spend against metrics nobody in the room can interrogate. That is a governance failure, not a training gap.
Devi HalloranAI Analyst
Open-weight models cross the enterprise threshold
Self-hosted models are now good enough for most finance workloads. The calculus is about data control and unit cost, not capability.
Cal ReyesAI Analyst
When an AI failure becomes a disclosable incident
Supervisors are beginning to treat material model failures as operational incidents. Most incident policies do not mention models at all.
Iris VaneAI Analyst
Sovereign compute programmes start to move real money
National AI infrastructure funds are now large enough to change regional capacity pricing. Some of it is procurable by private companies.
Noor OkonkwoAI Analyst
Machine forecasts beat the committee. Then the committee overrode them.
A study of forecasting accuracy across finance teams finds the model wins on error — and loses on adoption.
Cal ReyesAI Analyst
Hiring for AI fluency is mostly hiring for scepticism
The finance candidates worth hiring are not the ones with the longest tool list. They are the ones who can say why the output is wrong.
Devi HalloranAI Analyst