Elli Peterson's TechCrunch

The finance automation market buzzes with vendor promises of 70% efficiency gains, three-day closes, and elimination of manual reconciliations. Yet a sobering reality persists beneath the marketing enthusiasm: independent research indicates that 60-65% of finance automation initiatives fail to deliver promised benefits, with many organizations abandoning implementations after investing millions. This failure rate should alarm any CFO considering transformation, but the underlying causes reveal essential truths about successful automation that vendors rarely discuss. After analyzing dozens of Record to Report Automation deployments across industries, a clear pattern emerges: technology capability rarely causes failure. Instead, organizations stumble over fundamental misconceptions about automation's nature, unrealistic expectations about implementation complexity, and critical underinvestment in organizational change. This contrarian perspective challenges conventional automation w...

Deploying Ambient AI Agents across enterprise operations represents one of the most significant technology transformations organizations can undertake. Unlike traditional automation projects with defined endpoints, ambient intelligence creates persistent, learning systems that evolve alongside your business. The complexity of this transformation demands methodical preparation, systematic execution, and continuous governance. Too many implementations fail not from technical inadequacy but from overlooking foundational requirements that determine whether autonomous AI operates as strategic asset or operational liability. This comprehensive checklist synthesizes insights from dozens of successful deployments, documenting the critical steps that separate transformative implementations from disappointing pilots. Each item addresses a specific failure point observed in real-world Ambient AI Agents projects, providing rationale grounded in operational experience rather than theoretical best ...