Finance
Typical problems
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Excessive time on reporting: 40-60% of time spent on consolidation, extraction and formatting
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Repetitive analysis: The same monthly/quarterly analyses, with little added value
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Time-consuming manual checks: Reconciliations, consistency checks, anomaly detection
AI-exposed activities
Data extraction, bank reconciliations, multi-entity consolidation, standard report generation
Variance analysis, anomaly detection, budget forecasting, optimization recommendations
New skills required
Data storytelling: turning AI insights into actionable business narratives
Mastery of generative AI tools: effective prompting, output validation
Stronger business partnering: focus on strategic advice vs. producing numbers
Key deliverables
- 1.Map of 150+ finance tasks with AI classification
- 2.12/24-month impact scenarios on headcount and skills
- 3.Training plan for CFOs / management controllers (40-60h per person)
Sample roadmap
Automate monthly reporting (50% time saved across 3 analysts)
Roll out generative AI for commented analyses + team training (20 people)
Optimize budget forecasting with ML + reposition 2 profiles toward business partnering