by Erick Ramírez | Dec 11, 2025 | RevOps
According to a recent MIT report, a staggering 95% of generative AI pilots are failing to deliver on their promised value. This puts revenue leaders in a tough spot, because while everyone is investing in AI, very few are seeing a meaningful return on that investment....
by Erick Ramírez | Dec 11, 2025 | RevOps
Poor data quality costs the average business $12.9 million annually. For Revenue Operations teams, this is not an abstract problem. It is a direct threat to quota attainment and forecast accuracy. Disjointed systems and manual processes create data chaos, leading to...
by Erick Ramírez | Dec 10, 2025 | RevOps
Your marketing team celebrates hitting its MQL target, but the sales team reports that lead quality is down. Sound familiar? This friction is not just frustrating; it has a significant financial cost. A recent study found that 89% of companies believe misalignment has...
by Erick Ramírez | Dec 9, 2025 | RevOps
Your go-to-market team is investing heavily in AI to accelerate growth. Yet, the vast majority of these projects are destined to fail before they even start. According to Forbes, a staggering 85% of all AI models never deliver on their promise, and the reason has...
by Erick Ramírez | Dec 9, 2025 | RevOps
Stop-loss in revenue starts long before a deal slips. It starts when planning, execution, and pay do not connect, creating slow handoffs, messy data, and missed targets. A 2025 McKinsey report found that 64% of companies report AI is enabling use-case-level...
by Erick Ramírez | Dec 8, 2025 | RevOps
While 93% of GTM teams already use AI, many struggle to connect those activities to measurable business outcomes. This gap between adoption and impact leads to random acts of AI: isolated experiments with new tools that create noise but do not improve revenue...
