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Impact of AI Workflow Adoption
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Salesforce is crowdsourcing its AI roadmap — with customers
Artificial intelligence continues to advance at a dizzying clip, forcing enterprises to develop and release new products quicker than ever or risk becoming irrelevant to a faster-moving competitor. Salesforce believes it has found a strategy that allows it to keep up even if it isn’t clear where AI is headed next. The customer management software giant is crowdsourcing its AI roadmap in real time. Salesforce is certainly not the only company to work intimately with its customers for feedback on its products. However, it’s notable considering the sheer size of the company, the pace of new product launches or fixes to existing ones, and the granular level of these relationships. These aren’t annual or even quarterly discussions. Salesforce is meeting with some customers as often as once a week. “The 18,000 customers are a wellspring of information and a wealth of information that is really needed to get to customer success,” Jayesh Govindarajan, executive vice president at Salesforce AI, told TechCrunch in a recent interview. “The stack that we’ve built that has resonated with these customers. Over time we can get context to be better, and as it gets better, and LLMs get better, agent systems do more and more fully autonomous behaviors. That’s a long running innovation track and we’re going to invest in that.” Salesforce was one of the first companies to launch AI agent management software in late 2024 before agentic AI started to dominate headlines the following year. The company has since doubled down and continues to release new products for voice AI and Slack at a rapid pace. Salesforce credits its customers for the rate of its product releases. The company told TechCrunch that by letting its customers lead the way it is able to build an AI product roadmap that can quickly react to where AI technology is headed. When large language models were introduced, enterprises naturally wanted to jump on the technology but didn’t have the last-mile tech needed to fully use LLMs, Muralidhar Krishnaprasad, the president and chief technology officer of Salesforce engineering, told TechCrunch. Techcrunch event San Francisco, CA | October 13-15, 2026 The need for that last-mile tech is what sparked Salesforce to launch its agent management platform Agentforce, Jayesh Govindarajan, executive vice president at Salesforce AI, said in a recent interview. From there, the company developed a bottom-up strategy led by themes — including agent context, observability,...
Salesforce crowdsourcing IA: lecciones para tu startup
Por qué Salesforce está cambiando su modelo de desarrollo de productoSalesforce acaba de anunciar que está crowdsourcing su roadmap de IA directamente con sus clientes empresariales. La premisa es simple pero poderosa: si un cliente enterprise tiene un problema, es muy probable que otros también lo tengan.Para founders que construyen productos B2B, esto no es solo una noticia de una gran empresa tecnológica. Es una validación de un modelo de desarrollo que muchas startups exitosas ya están usando: dejar que los problemas reales de los clientes guíen el roadmap, no las suposiciones del equipo de producto.Cómo funciona el crowdsourcing de roadmap en SalesforceEl modelo de Salesforce se basa en identificar patrones recurrentes en el feedback de clientes enterprise. Cuando múltiples clientes reportan el mismo dolor o necesidad, ese insight se prioriza en el roadmap de desarrollo de IA.👥 ¿Quieres ir más allá de la noticia?En nuestra comunidad discutimos las tendencias, compartimos oportunidades y nos ayudamos entre emprendedores. Sin humo, solo acción.👥 Unirme a la comunidadEste enfoque contrasta con el modelo tradicional donde los equipos de producto definen el roadmap basándose en investigación de mercado, tendencias del sector o visión interna. En el modelo crowdsourced, son los usuarios finales quienes validan qué problemas merecen recursos de desarrollo.Según información contextual de la industria, Salesforce está enfocando su roadmap 2026 en la transición de IA asistiva a agentes autónomos (Agentforce), con capacidades para ejecutar procesos end-to-end con guardrails de seguridad. Esto incluye agentes de servicio que resuelven casos autónomamente, agentes de ventas que actualizan CRM y generan tareas, y agentes de marketing que personalizan journeys dinámicamente.Qué datos respaldan este enfoqueLa adopción de IA en empresas ha crecido 282% según estudios recientes de Salesforce con CIOs. Las organizaciones que implementan workflows de IA reportan ganancias de productividad del 30% y reducción de tiempos de resolución en servicio hasta 40%.El razonamiento detrás del crowdsourcing es estadístico: en el mercado enterprise, los problemas operativos tienden a ser compartidos entre compañías del mismo sector o tamaño. Si una empresa de $500M en retail tiene un cuello de botella en su proceso de onboarding de clientes, es altamente probable que competidores similares enfrenten el mismo desafío.Competidores y tendencias del mercadoSi bien Salesforce está formal...
ISG - AI Integration Accelerates U.S. Salesforce Adoption
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