Finance teams are under immense pressure to adopt AI, mostly driven by boards seeking efficiency gains, CFOs chasing faster closes, and vendors promising unprecedented automation. The prevailing assumption is that more AI will naturally lead to better results, since it can efficiently analyze data within seconds. But speed alone is not the only factor that ensures success, especially if the underlying process is flawed or underdeveloped. As organizations rush to embed AI into financial…
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