The enterprise finance technology stack has lagged severely behind the evolution of the finance professional. Agentic Performance Management (APM) resolves this crisis by deploying systems that autonomously execute the actual accounting work, such as reconciling complex bank statements and posting correcting journal entries.
Vidéo Explicative Recommandée
- Implement a progressive, risk-mitigated rollout; do not attempt to replace the entire finance function simultaneously.
- Identify a single, high-friction bottleneck like intercompany eliminations or AP invoice processing.
- Establish read-only grounding first, connecting the AI to accounting software with read-only API access.
- Implement a strict approval matrix where a human controller reviews the AI's work with an immutable audit trail.
- Transition to supervised execution with write-access only after proving near-perfect accuracy over a full financial quarter.
- Guy Leibovitz (Nominal.so): Raised $30M to build a generative "shadow ledger" that automates multi-entity consolidation.
- Alexander Hagerup (Vic.ai): Pioneered autonomous accounting, achieving 72% no-touch invoice processing rates by training models on over a billion invoices.
- Sandy Heit (Modern CPAs): Transitioned her traditional practice into an AI-first advisory business, utilizing agents for routine tax research and compliance.
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