What I like most about Agentforce Sales is how it keeps everything in one place - leads, opportunities, contacts, and activities, so I don’t have to jump between tools. It also automates repetitive tasks, provides a clear view of the sales pipeline, and makes it easier for teams to collaborate while consistently tracking customer interactions. On top of that, the reporting and dashboards help me make better decisions faster. Review collected by and hosted on G2.com.

What I dislike is that it can feel overwhelming at first because there are so many features and settings to navigate. Some customisations also require technical knowledge, and the interface can be slow at times, especially when handling large amounts of data. Review collected by and hosted on 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. Review collected by and hosted on 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. Review collected by and hosted on G2.com.

I like that Agentforce Sales is simple to use with a straightforward UI/UX. It allows me to create a lead and reach out to them without any issues. I appreciate being able to check all activities performed, and it promotes transparency with my team as they can see the calls I've made and emails sent. This transparency is helpful for stakeholders. Also, the onboarding and post-onboarding process was smooth, as we were assisted by account executives and developers who helped customize the CRM according to our needs. Review collected by and hosted on G2.com.

At times when I open Agentforce Sales on Chrome or any web browser, if a list has 2000 contacts, it runs smoothly up until around 200 contacts, but as the number of contacts increases, the tab starts to lag. Additionally, there's often a problem with data duplication, where a single contact gets duplicated multiple times or a single company appears under different names in the CRM. Review collected by and hosted on G2.com.

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. Review collected by and hosted on 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 Review collected by and hosted on G2.com.

AI-powered automation: It helps with lead follow-ups, summarizes calls, updates opportunities, and recommends next steps, which cuts down on repetitive manual work. Review collected by and hosted on G2.com.

While Agentforce Sales is powerful and highly customizable, it can also feel overly complex for day-to-day users. The learning curve is steep, and setup plus ongoing customization often require specialized expertise. Licensing costs can also become expensive as organizations scale. In heavily customized environments, performance may slow down, and some AI features still need significant configuration before they deliver consistent value. I also find that even simple tasks can sometimes take more clicks than necessary, especially compared with more streamlined CRM solutions. Review collected by and hosted on G2.com.

Good data tracking, with a broad range of use cases. It’s widely used across organisations, which makes it easier to pick up and use even when moving between different orgs on a sales team. Exploration is straightforward and easy. Integrates with all other applications and has decent intelligence but performance wise its quite average Review collected by and hosted on G2.com.

Not very well optimized with artificial intelligence. The platform could be more compatible with agentic solutions. Having to log in multiple times within the same day is quite annoying, since it logs out again after a very short time. The cost is higher for the organisation, and its growth feels slow compared to newer CRM solutions launched in the market. Review collected by and hosted on 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. Review collected by and hosted on 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. Review collected by and hosted on 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 Review collected by and hosted on 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. Review collected by and hosted on G2.com.

Salesforce Agentforce transforms the sales process by deploying autonomous agents that handle repetitive tasks like lead qualification and meeting scheduling with minimal human intervention. I love how it acts as a 24/7 digital sales partner, monitoring pipeline health and drafting personalized outreach emails so sellers can stay focused on closing deals. The deep integration with Data Cloud is a game-changer, allowing agents to pull real-time insights and external data to provide accurate, up-to-the-minute information during customer interactions. Ultimately, it shifts the CRM from a simple system of record to a system of action, significantly reducing administrative burdens and accelerating the entire sales cycle Review collected by and hosted on G2.com.

While Agentforce offers impressive automation, I might find the initial setup and configuration quite complex, requiring significant time to properly define roles and guardrails for the agents. There is also a natural concern regarding data privacy and accuracy, as trusting an autonomous system to communicate directly with high-value prospects carries the risk of "hallucinations" or off-brand messaging. Additionally, the cost structure—often involving consumption-based pricing—can make it difficult to predict monthly expenses as usage scales. Finally, the shift toward AI-driven interactions can sometimes feel like it’s sacrificing the human touch, potentially making the sales process feel a bit more clinical and less relationship-driven Review collected by and hosted on 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." Review collected by and hosted on 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. Review collected by and hosted on G2.com.