Salesforce Agentforce Reviews & Product Details

The best part is that my reps finally stopped asking me “where’s the pricing for X?” every five minutes. I’m a sales ops manager at a Million dollar SaaS company and we turned on Agentforce eight months ago. Now when a rep opens an opportunity, the agent pops up in the sidebar with the exact discount approval they need, the last renewal terms, and even the competitor objection script that closed the last three deals like it. No more digging through Slack threads or old emails. We cut average quote to send time from 4.2 hours to 38 minutes and our win rate on upsells jumped 19% because the AI literally reminds the rep to ask for the add-on at the perfect moment. It feels like I hired a perfect junior AE for every single rep, and it never sleeps. Review collected by and hosted on G2.com.

The Setup, It’s still too picky about the data it trusts, if our opportunity fields are messy or we are missing a custom field it just shrugs and says “I don’t have enough context.” We had to spend two full weekends cleaning up our stage-to-probability mappings before it stopped hallucinating. Also, the pricing is brutal. And the mobile version is half-baked, works great on desktop, Fix those and I’d give it six stars. Review collected by and hosted on G2.com.

Salesforce Agent force provides a powerful and flexible platform that helps streamline customer interactions and automate repetitive tasks. I really like how it integrates seamlessly with Salesforce CRM, making it easier to manage leads, cases, and customer queries in one place. The interface is intuitive and user-friendly, which reduces the learning curve for new users. The automation and AI capabilities also save a lot of time by minimizing manual efforts. Overall, it improves team productivity and enhances customer experience through faster response times and better visibility into customer data. Review collected by and hosted on G2.com.

While Agent force is an excellent tool, it can sometimes feel a bit overwhelming due to the number of features and configuration options available. The initial setup and customization require some technical expertise, which may not be ideal for smaller teams without dedicated Salesforce admins. Also, certain advanced features come at an additional cost, which could be a limitation for organizations with tight budgets. Despite these minor drawbacks, once everything is configured, the platform performs exceptionally well. Review collected by and hosted on G2.com.

I’m Megha, Founder of SalesforceMegha.com and I’ve been exploring Salesforce Agentforce as part of my work in the Salesforce ecosystem. It’s an impressive AI Agent Builder that integrates seamlessly with Salesforce, enabling automation of customer interactions and internal workflows. The platform is still evolving, but its potential to transform how teams build intelligent agents inside Salesforce is huge. Review collected by and hosted on G2.com.

While Agentforce shows great potential, it’s still in its early stages. Some documentation and real-world implementation examples are limited, which can make it harder to explore advanced use cases. I’d also like to see smoother onboarding for non-technical users and deeper prebuilt AI templates for specific Salesforce clouds. Review collected by and hosted on G2.com.

What I like best about Salesforce Agentforce is how easy it makes building apps with AI. The new Agentforce Vibes feature is a real game changer: you just describe what you want in plain language, and it generates the code, builds, tests, and even deploys it for you. It’s like having a full dev team that understands exactly what you mean. And since it’s built on the Agentforce Platform with enterprise-grade security and governance, it feels powerful and trustworthy! Review collected by and hosted on G2.com.

Sometimes the setup and customization can feel a bit complex, especially when you’re just getting started. So you need to go through the learning curve. Review collected by and hosted on G2.com.

Salesforce Agentforce provides helpful AI recommendations just when I need them, which helps me respond to customer inquiries much more quickly. The system provides responses that are appropriate for the circumstances because it has a good understanding of the context. It is simple to navigate between chats, tools, and customer information thanks to the clear interface. It significantly lessens the amount of time spent on monotonous tasks. Review collected by and hosted on G2.com.

The AI recommendations occasionally need to be revised because they are a little too generic. When multiple conversations are open at once, the loading time may seem slow. The system feels like it needs more refinement because some features are still relatively new. Additionally, if you are switching from another support tool, it takes some time to adjust to the workflow. Review collected by and hosted on G2.com.

I find Salesforce Agentforce to be one of the better AI systems when it comes to understanding human conversation and responding in a way that feels human-like rather than robotic. This feature enhances the interaction experience, making it more natural and intuitive. Additionally, the initial setup of Salesforce Agentforce was pretty seamless. The team I worked with explained how to use it and integrated the data we already had in our Salesforce system, which was pulled in efficiently. Although there was a learning curve in understanding its features and operations, it is quite intuitive, allowing me to interact with it as I would with a person. This ease of use is a significant advantage, as it simplifies getting accustomed to the system without much hassle. Review collected by and hosted on G2.com.

I find that Salesforce Agentforce is quite slow to handle more complex, in-depth cases. While it automates various processes, it struggles with picking up and resolving technical issues that require a human touch. In very technical cases, it can be challenging to transition from the AI agent to a human support engineer for assistance. This limitation means that for more intricate and technical questions, I often find myself needing a human expert rather than relying solely on the chatbot. Review collected by and hosted on G2.com.

The thing I like is how easily Agentforce connects with the rest of Salesforce. Instead of switching between different apps or doing a lot of manual work, it feels like everything just fits in one place.

It also helps cut down repetitive tasks, which saves time for me and my team. The interface is also clean, so even people can pick it up quickly. Review collected by and hosted on G2.com.

While Agentforce is powerful, I feel that some features take a bit of time to get used to.

The learning curve can be steep for new users, and certain customizations require technical skills.

I also noticed it can run slower when handling large data sets, which sometimes affects productivity.

More built-in tutorials or step-by-step guides would really help smoothen the experience. Review collected by and hosted on G2.com.

I like that Agentforce helps provide faster service to customers. It can handle simple queries on its own, which means live agents get to focus on the more important and complex issues. This not only improves response times but also makes the overall support experience smoother for users. Very easy to use and configure. Natural language topic training is an awesome feature in Agentforce Review collected by and hosted on G2.com.

The only small challenge is that it still needs some fine-tuning for more complex queries, but overall it works really well. It needs additional customization to fully match our processes, but that’s expected with any powerful tool. Review collected by and hosted on G2.com.

Agentforce has enabled us to work more efficiently and intelligently, providing valuable insights and freeing up time for more meaningful human-to-human interactions. It has made a significant difference in our team’s operational efficiency. The low-code Agent Builder interface is especially helpful, allowing non-developers on our team, such as operations and customer service leads, to quickly create specialized AI agents that integrate seamlessly with our existing Salesforce Service Cloud and Sales Cloud setup. This has saved us from having to build solutions from the ground up. I also appreciate the ongoing development, with Salesforce regularly releasing new agents, as well as the helpful documentation and supportive community that make it easier for everyone to learn and collaborate. Review collected by and hosted on G2.com.

There is a bit of a learning curve and some testing required. However, there are plenty of valuable resources, pre-built agents, and active communities available through Salesforce, Trailhead, and Slack. In some instances, we experienced slower performance when handling large volumes of data, and noticed that the agents sometimes produced inconsistent responses if their training data was incomplete. Additionally, there is ongoing work to define which data—both structured and unstructured—the agents can access, as well as to set appropriate permissions for visibility and access. Review collected by and hosted on G2.com.

Ease of Use: Agentforce leverages low-code tools like Agent Builder, which allows for customization and deployment of AI agents without extensive coding knowledge. This user-friendly approach is noted as a key factor in its adoption, making it accessible even for those with limited technical backgrounds. However, some users report a steep learning curve, particularly for those new to the Salesforce ecosystem or struggling with crafting clear prompts for optimal agent performance.

Ease of Implementation: Agentforce is deeply integrated with the Salesforce platform, simplifying setup for existing Salesforce users, enabling them to leverage existing flows and prompt templates. Organizations using Agentforce have reported significantly faster deployment times compared to building custom AI solutions. However, successful implementation requires careful planning, including data cleanup, strategic alignment with business goals, and a structured training program for users. Challenges can arise from integration with external systems, needing custom development and meticulous data synchronization.

Customer Support: Salesforce offers robust customer support for Agentforce, including a 24/7 Standard Success Plan and resources on the Salesforce Help site. Agentforce itself has proven effective on the Salesforce Help site, autonomously resolving 83% of visitor issues. Customer feedback suggests Agentforce performs well in specific scenarios, particularly when provided with clear and detailed instructions, according to Salesforce Ben. However, some reviewers have expressed concerns about the inability to provide direct feedback to the agent for improvement.

Frequency of Use: Agentforce is witnessing a rapid increase in adoption and usage across diverse industries, with over 8,000 customer sign-ups in a six-month period. Salesforce has actively utilized Agentforce internally, handling a substantial number of customer support interactions. It is being deployed in various departments, including sales, service, and marketing, indicating its growing relevance in modern business operations.

Number of Features: Agentforce offers a comprehensive set of features, including AI-powered automation, omnichannel support, real-time data insights, and self-service options. It includes specialized tools like Agent Builder and Prompt Builder, as well as the Atlas Reasoning Engine for advanced reasoning and decision-making. Salesforce has released several updates, including Agentforce 2.0 with deeper Slack integration and a pre-built skills library, and Agentforce 3 focusing on scalability, visibility, and control. Review collected by and hosted on G2.com.

Agentforce is a premium offering, and its pricing, particularly the usage-based model, can be a major deterrent, especially for smaller businesses or those with limited budgets.

The previous "$2 per conversation" model was criticized for its unpredictability, as simple follow-ups could trigger new charges.

The current action-based model (20 Flex Credits or $0.10 per action) aims to provide more clarity, but tracking and predicting the overall cost of a conversation with multiple actions can still be complex.

Sandbox and internal license pricing has also raised concerns among users. Review collected by and hosted on G2.com.