The platform remains highly customizable, offering both low-code and pro-code development options that enable teams to deliver scalable solutions faster. It also integrates seamlessly with other Salesforce products, including Sales Cloud and Marketing Cloud, making it a strong choice for enterprise-wide digital transformation. Another advantage is its extensive Trailhead learning resources, comprehensive documentation, and active community, which make it easy for both beginners and experienced developers to learn, innovate, and solve complex business challenges. Review collected by and hosted on G2.com.

Salesforce Headless 360 Platform is a robust enterprise platform, but there are a few areas where it could improve. The licensing and pricing model can be expensive, making it less accessible for smaller organizations and projects. More flexible pricing options would help increase adoption.

Another challenge is the complexity of managing permissions, roles, and access controls. While Salesforce provides powerful governance features, the administration experience could be simplified with a more intuitive UI, making it easier for admins to manage security without sacrificing flexibility.

Finally, as new AI capabilities like Agentforce and Data Cloud continue to evolve, additional guided setup, better onboarding, and more out-of-the-box best practices would help organizations adopt these features faster and reduce the learning curve. Review collected by and hosted on G2.com.

I my current role I use mainly for building and maintaining demo environments and integrations.I really like how easily it connects with iPaas tools through its APIs, setting up integrations with other apps like snowflake and oracle is straightforward and also the developer sandboxes are great for testing and the platform keeps improving with new AI features like the Einstein and Agentforce. Review collected by and hosted on G2.com.

The shadow DOM based UI still makes automated testing tricky from a Testers perspective. Also API limits on lower editions and teh overall licensing complexity could be simplified. Sandbox refresh times could be faster too. Review collected by and hosted on G2.com.

Since my previous review, Salesforce has continued to improve with better AI-powered capabilities, enhanced automation, and a more intuitive user experience. The platform handles larger workloads efficiently, integrates well with other enterprise applications, and makes it easier to build and customise business solutions using low-code tools. Performance, scalability, and reporting have also improved, helping our teams work more efficiently and make faster, data-driven decisions. Review collected by and hosted on G2.com.

"Salesforce continues to evolve, but there is still room for improvement. The licensing structure can be difficult to understand, and costs increase quickly as additional features are added. Some advanced customisations require specialised expertise, and the learning curve for new administrators remains steep. Faster support response times for complex technical issues, simpler configuration for enterprise integrations, and more consistent performance in highly customised environments would further improve the overall experience. Review collected by and hosted on G2.com.

I like the continued focus on API-first and composable architecture. The platform makes it easier to build headless integrations and connect Salesforce with external systems without relying heavily on custom UI components. In our implementation, the REST APIs for Leads and Contacts, along with OAuth connected apps, have been reliable and performant. The flexibility to filter data, stable authentication, and well-documented APIs have reduced development effort and simplified long-term maintenance. Review collected by and hosted on G2.com.

The platform offers extensive functionality, but the UI can be difficult to navigate because of the large number of menus and configuration options. After not using it for a few days, it can take time to find the right settings. A more intuitive navigation experience, improved search, and additional practical integration examples in the documentation would make the platform easier to use. Review collected by and hosted on G2.com.

One of the most interesting developments I like about Salesforce Headless 360 Platform is its shift to an“API is the UI” model. Instead of requiring users to work through a Salesforce browser interface, Salesforce capabilities can now be accessed by AI agents, applications, and other tools through APIs, Model Context Protocol (MCP) tools, and command-line interfaces Review collected by and hosted on G2.com.

Yes. If I had to choose one improvement, it would be enhanced explainability and monitoring for AI agents. As more work is performed by agents rather than humans using a browser, organizations will need clear visibility into agent decisions, actions, and outcomes to maintain trust, accountability, and compliance. Review collected by and hosted on G2.com.

What stands out most now is the flexibility of the API-first model. We can execute backend processes, pass data, and trigger approvals across third-party tools seamlessly. It gives us total control over the end-user interface without losing any of Salesforce's core automation strength. Review collected by and hosted on G2.com.

While the headless model offers huge flexibility, setting up complex decoupled workflows definitely comes with a learning curve. The documentation around API consumption limits and newer developer tools could be a bit clearer and more streamlined. Additionally, managing metadata governance and ensuring test runs behave predictably across non-UI surfaces requires a good bit of extra upfront effort from our dev team. Review collected by and hosted on G2.com.

One of the best features that I like about Salesforce platform is its ability to be customized to suit individual needs. It provides a comprehensive view of customer data, leading to better messaging and outreach.

Now, with added AI features that actually work like they're designed to do, it's a great add-on. Review collected by and hosted on G2.com.

The disadvantages of Salesforce include complexity, which can make it difficult to customize for small businesses and over-customization can lead to a clunky system. Additionally, Salesforce can be expensive and require a steep learning curve.

They now heavily market AI, which in many instances are not needed. Microsoft has copilot which seamlessly integrates with Microsoft Dynamics and this is what Salesforce should aim for. Review collected by and hosted on G2.com.

The continuous evolution of Agentforce and the Data Cloud integration stands out. The ability to ground AI agents directly on real-time Data Cloud objects without requiring custom middleware simplifies complex automation. The introduction of unified developer tools—allowing seamless transition between Agentforce Studio and custom APEX or LWC components—makes building autonomous agent workflows much faster and more predictable across hybrid environments. Review collected by and hosted on G2.com.

Governance and observability for high-volume autonomous agent executions still have room to grow. While session tracing exists, fine-grained Debug Logs for non-deterministic AI agent decisions can be difficult to parse at scale. Additionally, pricing models and token usage visibility across heavy Data Cloud and Agentforce queries could be made more transparent and real-time within the Setup menu. Review collected by and hosted on G2.com.

The core Lead object is genuinely flexible. Standing up custom fields, a BDR work queue report, and leadership-facing dashboards took hours, not weeks, and everything I built has held up. Reporting is best in class once the underlying data is clean, and the Lead-to-Opportunity path is well thought out. For a small sales team replacing a spreadsheet, the out-of-the-box structure covers most of what you need on day one. Review collected by and hosted on G2.com.

Activity-driven automation is where this fell apart for us, and we still have not solved it.

Our requirement was simple on paper: when a rep touches a lead, advance that lead's cadence stage automatically. Every path we tried hit a wall.

A record-triggered flow on the Lead using LastActivityDate as the entry condition builds cleanly, validates, activates, and then simply never fires. LastActivityDate is system-calculated and the background update is not treated as an edit to the Lead, so Lead-based automation is bypassed. There is no error and no warning. It looks healthy in Flow Builder and does nothing.

Support's recommendation was to rebuild the trigger on the Task object filtered on WhoId. Reasonable in theory, but Einstein Activity Capture does not write captured emails as Task records. They live outside the org and surface as virtual records on the timeline, so there is no record for a Task-triggered flow to fire on. Emails are visible but not usable by automation. The Summer '25 sync setting addresses part of this, but it is conditional and does not backfill history.

Separately, EAC authenticates against a single mailbox, so mail sent from a Google Workspace send-as alias does not get captured at all. We only found that by testing it ourselves.

None of these limitations are surfaced in the product where you would encounter them. You discover each one after building something that quietly does not work. Our case has been open through multiple support rounds and is now with our account rep, still unresolved. Review collected by and hosted on G2.com.

What I like most about the Agentforce 360 Platform is that everything is very interconnected in one place. Data, automations, and now AI agents work together in a well-integrated way, which makes day-to-day work much easier. I also find it interesting how the platform allows you to automate more complex processes, not just simple tasks. This ultimately leads to real productivity gains. Another strong point is that it leverages the entire Salesforce ecosystem, so you don't need to rebuild everything from scratch to evolve with AI. Review collected by and hosted on G2.com.

What I don't like about the Agentforce 360 Platform are some of the lighter day-to-day aspects.

First, at times the configuration can be a bit confusing, especially for those who are not very familiar with the Salesforce ecosystem. Second, depending on the volume of automations and customizations, management and organization can become a bit complex. Review collected by and hosted on G2.com.