AI is moving from a fixed annual licence to a charge based on how much you use, and today's prices are widely believed to sit below true cost.
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A practical look at why AI budgeting is harder now, the levers that keep cost under control, and a phased way to plan through this budget cycle and into next year, so your spend stays tied to the value it delivers. What's inside:
→ Why AI budgeting has become harder: the pricing model, the direction of prices, and the breadth of AI across your teams
→ What it means for regulated financial services and insurance, where the cost of getting it wrong is higher
→ The levers that protect your budget, from using the right model for each task to small, locally hosted models and cost controlled pilots
→ A phased plan you can take into this budget round and into next year, keeping spend tied to proven value
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