Agentforce Use Cases
The most common Agentforce use cases are customer service and sales. Salesforce ships ready-made agents that each own a specific job inside the CRM, and teams build custom agents for the workflows those don't cover.
Salesforce ships Agentforce with prebuilt agents for the jobs teams need most. The Service Agent resolves support cases. The Agentforce SDR develops inbound pipeline. The Sales Coach runs practice role-plays for reps. Beyond those, you can build custom agents for your own work using more than 200 prebuilt templates, topics, and actions.
What are the most common Agentforce use cases?
Here is how Salesforce's prebuilt agents map to the teams that use them.
| Team | Agent | What it does |
|---|---|---|
| Service | Service Agent | Resolves support cases 24/7, grounded in your knowledge, and escalates to a person. |
| Sales development | Agentforce SDR | Engages inbound prospects, answers questions, handles objections, and books meetings. |
| Sales coaching | Sales Coach | Runs role-plays and gives reps deal-specific feedback by opportunity stage. |
| Any team | Custom agent | Built from 200+ templates, topics, and actions for your own workflow. |
Source: Salesforce's own descriptions of its Agentforce agents, verified July 2026.
What are Agentforce use cases in customer service?
Service is where Agentforce started. The Service Agent handles a wide range of support issues without pre-scripted flows, which is how Salesforce frames it as a step past the old decision-tree chatbot. It answers from your connected knowledge and case data, works around the clock, and hands a case to a human agent when one is needed.
What are Agentforce use cases in sales?
On the sales side there are two agents. The Agentforce SDR works inbound pipeline: it holds real conversations with prospects, answers product questions, handles objections, qualifies leads, and books meetings, all within guardrails you set for tone, timing, and channel. The Sales Coach is for your own reps. It role-plays a buyer and gives feedback tied to the specific opportunity, so a rep can practice a pitch or a negotiation before the real call.
Can you build custom Agentforce use cases?
Yes. The prebuilt agents cover the common jobs, but most teams have workflows that are their own. Salesforce gives you more than 200 templates, topics, and actions to assemble a custom agent. You define its role, the data it can reach, the actions it can take, its guardrails, and where it runs, then build it in Salesforce's low-code tools.
Where does GPTfy fit?
GPTfy takes a different route to these same jobs. It is a Salesforce-native managed package that installs in the org you already run, and it lets you bring your own AI model, such as OpenAI, Anthropic's Claude, or Google Gemini. It works on your Salesforce data, runs inside your org, and needs no Data Cloud. If you want to pick your own model and keep the AI close to your data, that is the case GPTfy is built for.
Agentforce use cases FAQ
What are the most common Agentforce use cases?
The most common use cases are customer service and sales. Salesforce ships prebuilt agents for both: the Service Agent resolves support cases, the Agentforce SDR develops inbound pipeline, and the Sales Coach runs practice role-plays for reps. Teams also build custom agents for their own workflows.
What does the Agentforce Service Agent do?
The Service Agent handles customer service issues around the clock without pre-scripted flows. Salesforce positions it as a replacement for traditional chatbots. It answers from your connected knowledge and data, and it hands off to a human when a case needs one.
What are Agentforce use cases in sales?
Two sales agents cover the main jobs. The Agentforce SDR engages inbound prospects 24/7, answering questions, handling objections, qualifying leads, and booking meetings. The Sales Coach gives reps deal-specific feedback and role-plays a buyer so they can practice before a real call.
Can you build custom Agentforce agents?
Yes. Beyond the prebuilt agents, Salesforce provides more than 200 templates, topics, and actions you can assemble into a custom agent. You define its role, data, actions, guardrails, and channel, then configure it in Salesforce's low-code tools.
What data do Agentforce use cases rely on?
Agentforce agents ground their answers in your Salesforce data and connected knowledge. Salesforce recommends Data 360, the former Data Cloud, as the engine that unifies that data and feeds it to agents through Zero Copy.
See these use cases run on your own Salesforce data
Book a walkthrough and see how GPTfy puts AI to work on service and sales jobs inside the org you already run, with the model you choose.