Agentforce Sales (formerly Salesforce Sales Cloud) Reseñas y Detalles del Producto

I like that Agentforce Sales works and offers lots of options for different data input. There are a lot of integration options that are especially valuable. It serves as our essential source of truth for everything customer-based, and it's very helpful to integrate it with tools like Pendo and ChurnZero. This integration helps us pull customer data into Agentforce Sales and provides an accurate picture of a customer's usage. Reseña recopilada por y alojada en G2.com.

Agentforce Sales is not intuitive to use in any way. It takes a long time for our new staff to understand how it works if they've never used it before. And, the integration language that they use is confusing. And their knowledge base surrounding it is incomplete. Salesforce takes a long time to set up, and even when it's fully set up, there's still a lot of customization that needs to be done in order to make it even somewhat user-friendly. We basically use Salesforce because it is the best of the bad CRM software universe Reseña recopilada por y alojada en G2.com.

What I like most about Agentforce Sales is how it combines AI automation with the Salesforce CRM ecosystem in a very practical way. It reduces manual work by automating tasks like lead follow-ups, call summaries, pipeline updates, and customer interaction tracking, which lets sales teams spend more time actually selling.

Another strong point is the centralized visibility it provides. Everything from leads and opportunities to customer history and analytics is available in one place, making the sales process more organized and easier to manage. The integration with Data Cloud and real-time insights also helps sales teams make better decisions. Reseña recopilada por y alojada en G2.com.

One thing I dislike about Agentforce sales is that the platform can feel overly complex, especially for new users. There are so many features, menus, and configuration options that it creates a steep learning curve and can slow adoption for teams that aren’t very technically experienced.

Another downside is pricing. The platform can become expensive as companies add more users, integrations, AI features, and customization. For small businesses, the overall cost can be difficult to justify.

I also think the AI capabilities are still evolving. Some users may feel the product is marketed more aggressively than its current maturity level. Reseña recopilada por y alojada en G2.com.

Their core strength is end-to-end sales visibility. You can track lead capture, opportunity management, and deal closing all in one place. This makes it easier to monitor pipeline health, forecast revenue, and spot bottlenecks without needing multiple tools.

Automation capabilities are another big plus. Using tools like Flow and Process Builder, you can automate repetitive tasks such as lead assignment, sending emails, or updating records. This can significantly improve productivity and help reduce manual errors.

I also like the reporting and dashboarding features. Real-time reporting and customizable dashboards provide actionable insights, allowing sales teams to make quick, data-driven decisions. Reseña recopilada por y alojada en G2.com.

What I slightly dislike about Agentforce Sales is that it can take some time for users to fully adopt it, especially on teams that aren’t very tech-savvy. Even though the platform offers a lot of features, many users may stick to the basics at first unless they get proper training and guidance. Another small drawback is the mobile experience: it’s good overall, but it isn’t always as smooth as the desktop version for more complex tasks such as detailed reporting or configuration. That said, these issues are fairly minor, and with solid onboarding and good usage practices, they don’t meaningfully reduce the platform’s overall value. Reseña recopilada por y alojada en G2.com.

What I like best about Agentforce Sales is the transition from manual CRM management to autonomous sales support. By leveraging the power of Data Cloud, the platform provides AI agents that can proactively research leads and manage outreach. This 'Agent-first' approach, combined with Einstein's generative capabilities, has transformed Salesforce from a database into a proactive member of our sales team, significantly reducing administrative overhead Reseña recopilada por y alojada en G2.com.

What I dislike most is the significant prerequisite of data maturity. To get any real value from Agentforce, you need a near-perfect Data Cloud implementation. Additionally, the technical learning curve for grounding and testing agents is steep, and the consumption-based pricing can make it difficult to predict long-term costs. It's a powerful tool, but the 'barrier to entry' in terms of both data quality and budget is quite high. Reseña recopilada por y alojada en G2.com.

Salesforce Agentforce transforma el proceso de ventas al desplegar agentes autónomos que manejan tareas repetitivas como la calificación de leads y la programación de reuniones con mínima intervención humana. Me encanta cómo actúa como un socio de ventas digital 24/7, monitoreando la salud del pipeline y redactando correos electrónicos personalizados de alcance para que los vendedores puedan concentrarse en cerrar tratos. La integración profunda con Data Cloud es un cambio radical, permitiendo a los agentes obtener información en tiempo real y datos externos para proporcionar información precisa y actualizada durante las interacciones con los clientes. En última instancia, transforma el CRM de un simple sistema de registro a un sistema de acción, reduciendo significativamente las cargas administrativas y acelerando todo el ciclo de ventas. Reseña recopilada por y alojada en G2.com.

Aunque Agentforce ofrece una automatización impresionante, podría encontrar la configuración inicial y la configuración bastante complejas, requiriendo un tiempo significativo para definir adecuadamente los roles y las salvaguardas para los agentes. También existe una preocupación natural con respecto a la privacidad y precisión de los datos, ya que confiar en un sistema autónomo para comunicarse directamente con prospectos de alto valor conlleva el riesgo de "alucinaciones" o mensajes fuera de marca. Además, la estructura de costos, que a menudo implica precios basados en el consumo, puede dificultar la predicción de los gastos mensuales a medida que aumenta el uso. Finalmente, el cambio hacia interacciones impulsadas por IA a veces puede parecer que sacrifica el toque humano, lo que potencialmente hace que el proceso de ventas se sienta un poco más clínico y menos orientado a las relaciones. Reseña recopilada por y alojada en G2.com.

as a salesforce consultant i use salesforce to design , implement and optimize CRM solutions for client across sales, marketing and service domain, i like its high level of customization and flexiblity. salesforce allows me to design solutions based on specific business requirement using custom objects , workflows and automation tools. another major strength is its complex CRM ecosystem, covering sales , marketing , customer support , analytics, this makes it a one stop platform for customer lifecycles management, the AppExchange ecosystem is also very powerful, with thousand of integration available, making easy to connect salesfroce with other enterprise tools. i also appreciate the strong reporting and dashboards which provide real time insights into sales performance and customer data. Reseña recopilada por y alojada en G2.com.

the biggest challenge is the complexity of implementation, salesforce is not plug and play, it require proper planning, configuration and often a dedicated admin or consultant, the cost can be high , especially when you include licence, add ons and implementation expenses, there is also a steep learning curve, especially for new users or non technical teams, sometimes performance issues like slow loading or glitches can impact user experinece. Reseña recopilada por y alojada en G2.com.

UI/UX: "The interface remains clean even with the new AI sidebars."

AI/Intelligence: "The lead scoring isn't just a number; it provides the 'why' behind the score."

Integrations: "The DocuSign integration within the AI workflow makes contract hygiene effortless." Reseña recopilada por y alojada en G2.com.

The biggest hurdle is the initial setup and the sheer learning curve. The sales pitch makes it sound like you just turn Agentforce on and it immediately starts closing deals, but the reality is that the AI is entirely dependent on how clean your CRM data is. If your historical data is messy, the AI's insights and lead scoring are going to be completely off. It takes a significant amount of hand-holding, tweaking, and prompt-tuning before you can actually trust the AI to run autonomously without hallucinating or giving generic advice. Reseña recopilada por y alojada en G2.com.

The reporting capabilities and object features in SF make it very handy for us. We can define the architecture for the types of records we want to save, and the flexibility of the platform is a big plus. The Lightning interface is also very easy to use. We’ve completed various internal integrations with SF, especially with our higher ed tools.

When it comes to SF support, they always notify us if any upgrades need to take place, and we haven’t experienced any downtime. Pricing is on the higher end, but it does what we need it for, so overall it’s a good tool for us. Reseña recopilada por y alojada en G2.com.

Bulk uploads have to be done using an APEX loader, which isn’t very user-friendly for all stakeholders, and that ends up increasing the ticket count. Also, some of the reports that are generated require a lot of hand-holding because it’s not always easy to understand what filters and logic are in place. Overall, the main issue for me is that a lot of user training is involved. Reseña recopilada por y alojada en G2.com.

Honestly, the best thing about Agentforce is that it actually gets reps out of the weeds. The UI / UX is surprisingly clean and intuitive, so your team doesn't feel like they're fighting another clunky tool just to get their work done. Because it’s a native tool, the integrations with your existing Salesforce data are completely seamless.

Performance-wise, it's snappy and pulls up account history without lagging. But the real game-changer is the AI / Intelligence. It isn't just running basic macros it actually understands the context of a deal, teeing up follow-ups that sound natural. While the cost isn't cheap, the Pricing / ROI really starts to make sense when you calculate the sheer hours of admin work it kills every week. Plus, if you actually lean on their Support / Onboarding team, getting it spun up and customized for your specific workflows is a lot less painful than you'd expect. Reseña recopilada por y alojada en G2.com.

They just need to do little work navigation part, and some UX side improvements, otherwise rest is good. Reseña recopilada por y alojada en G2.com.

The shift toward Agent force and more autonomous triggers has been a massive time-saver. Instead of manually updating lead statuses or logging every minor email, the system handles a lot of the 'grunt work' in the background. It allows the team to focus on actual strategy rather than just data entry, which keeps our CRM hygiene much cleaner than it used to be. The sheer flexibility of the platform is its biggest strength. Whether it’s custom objects for specific contract types or tailored dashboards for our leadership team, we can mold it to fit our specific workflow. It’s not a 'one size fits all' tool; it’s a platform that actually grows with our business logic Reseña recopilada por y alojada en G2.com.

It sometimes feels like you can’t make even small workflow changes without involving a Salesforce Admin or a developer. Because the system is so interconnected, a minor tweak in one area can have ripple effects elsewhere. While the customization is a strength, it’s also a burden because it makes the system feel 'heavy.' I’d love to see more intuitive, self-service ways for power users to adjust their own views without needing a full-scale deployment. Reseña recopilada por y alojada en G2.com.