Financial warning signs of AI under-performance Costs outpacing the business case Implementation and operating costs are rising beyond the assumptions made in the original AI investment case, eroding expected returns and extending payback periods. Benefits not translating into performance Forecast productivity gains, revenue growth or efficiency improvements cannot be clearly linked to improvements in margins, cash flow or working capital performance. Expectations running ahead of reality Customer demand and expectations are increasing faster than the business can adapt its pricing, capacity, service delivery or operating model. Lack of a credible recovery plan Management cannot demonstrate credible scenarios or agreed actions if expected AI benefits are delayed or fall short of expectations. Investment crowding out priorities AI spending is competing with other essential investments, diverting capital from core business needs and creating pressure on strategic priorities. Liquidity & covenant pressure emerging Sustained investment without corresponding returns is placing strain on cash resources, reducing financial flexibility and increasing covenant risk. Lenders are often engaged before an AI investment fails. 40% would recommend advisory support when costs exceed expectations, 33% when scenario planning lacks credibility, and 30% when cash flow comes under pressure.
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