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GPTfy - Salesforce Native AI Platform

See How Every Case Is Progressing

GPTfy generates a per-comment sentiment journey table inside Salesforce Service Cloud, so agents track case progression at a glance without re-reading every interaction.

Agents handling multiple open cases waste time re-reading comment threads every time they return to a record. This demo shows how GPTfy generates a sentiment journey table that shows the emotional arc of a case at a glance — saving the re-read entirely.

Capabilities shown in this demo

Sentiment Journey Table

  • Returns a row per case comment with sentiment classification and a short rationale.
  • Shows the full emotional arc of the case rather than a single point-in-time summary.

Sender Role Column

  • Clearly labels each comment as coming from the agent or the customer.
  • Removes ambiguity when reading sentiment across a long multi-party thread.

Multi-Case Management

  • Designed for agents juggling multiple open cases who need rapid context on return.
  • Replaces the need to re-read every comment thread when switching between cases.

In-Record Display

  • Output renders within the Salesforce case record — no external dashboard required.
  • Admins control prompt placement through GPTfy's no-code configuration.

Use this video when

An agent returns to a case they last touched hours ago and needs to quickly understand where customer sentiment stands

A service manager wants to give reps a visual indicator of customer tone progression without requiring manual note-taking

A team handling high-volume case queues wants to reduce the time spent re-reading threads when picking up cases

A quality lead reviews sentiment journeys across escalated cases to identify where resolution efforts lost momentum

An admin wants to add a sentiment progress view to case layouts without writing any code

A support director wants to demonstrate that AI is actively improving agent efficiency on open case management

Frequently asked questions

A case sentiment journey is a table view generated by GPTfy that shows the sentiment for each individual case comment along the case timeline. It includes the sender's role, the assigned sentiment, and a short justification — giving agents a chronological picture of how the customer's emotional tone evolved through the case.

Agents typically manage multiple open cases simultaneously. When they return to a case after working on others, they need to re-read all the comments to remember where things stand. The sentiment journey table gives them an instant refresher — showing at a glance whether the customer's tone is improving or deteriorating.

The generated table includes a column for the sender's role (agent or customer), the sentiment classification for each comment, and a one-sentence justification explaining why that sentiment was assigned. This removes ambiguity and helps agents understand the reasoning behind each classification.

A single summary tells you the overall tone of the case at a point in time. The sentiment journey table shows how sentiment has changed at each interaction — which is more useful for understanding whether the resolution effort is having a positive effect on the customer.

Yes. Because GPTfy renders results inside the Salesforce interface, the sentiment journey output can be displayed within the case record without navigating to a separate tool. Admins configure the prompt placement through GPTfy's no-code setup.

No. Agents simply select the case sentiment journey prompt and run it. GPTfy reads the case comments automatically, processes them through the AI model, and returns the structured table. No manual reading is required to generate the view.

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Video transcript
Alright, so when you're a customer service rep tackling a case on Salesforce Service Cloud, it's very important to understand how the case is progressing, particularly the sentiment of the customer as you progress through resolving the case. Normally, this would involve looking at each interaction between you and the customer. In this case, looking at all these case comments and figuring out a sentiment on your own. However, this is a rather inefficient way of handling these cases because if you're a customer service rep, you're likely dealing with a lot of different cases already, meaning that every time you're looking at this case, you'll need to look at these case comments all over again just to get a refresher. Now, if there was a way to have a more streamlined view that shows you the sentiments of each case comment right away, it would save a lot of time and effort trying to manage all of your cases. Fortunately, with AI, you can make this view a reality in your service cloud org. So using GPTfy, we're gonna select this case sentiment journey prompt, and we're gonna run it and it's gonna return us a table giving a sentiment for each case comment, and a short sentence justifying the sentiment given. So now we have the role of the sender in the first column, just to remove any layer of ambiguity of whose sentiment it is in the second column. And now we have a view that can get you up to speed right away on your service cloud cases without having to sift through each interaction with the customer manually.

Last updated: February 2026