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GPTfy - Salesforce Native AI Platform

Eliminate the Paperwork Between Resolved and Closed

GPTfy reads the full case history and auto-fills root cause reason, root cause analysis, and case summary so reps spend their time solving problems, not writing up fields they already know the answer to.

A case is solved but the rep still has to fill out root cause reason, analysis, and summary before they can close it. This demo shows GPTfy reading the full case history and populating all three fields automatically, so reps close and move on in one click.

What you'll see in this demo

Full Case Context in One Prompt Run

  • GPTfy reads the original inquiry, all rep-customer comments, the proposed resolution, and the KB article referenced in a single prompt run.
  • No re-reading, no context-switching. The rep triggers one prompt and everything is handled.

Auto-Population of Closure Fields

  • Root cause reason, root cause analysis, and case summary are populated directly into Salesforce fields as the prompt runs.
  • Works for any mandatory field, any Salesforce object, and any closure process a company requires.

Eliminating Last-Mile Friction

  • Reps who handle dozens of cases a day reclaim significant time that was previously spent on mandatory but low-value paperwork.
  • Closure quality improves because the full case history is read systematically not recalled from memory.

Use this video when

A service team with a mandatory root cause analysis policy wants to enforce compliance without slowing reps down

A support manager wants to improve case closure quality without adding a manual review step

A rep handling 30+ cases a day wants to reclaim the time lost writing up closure fields after every resolution

An operations team wants consistent, structured case summaries across all closed cases for reporting and analytics

A quality assurance team wants closure fields populated from the actual case history rather than from memory

A Salesforce admin wants to enforce pre-closure field requirements without building complex validation rules

Frequently asked questions

GPTfy reads everything on the case record: the original customer inquiry, all comments exchanged between the rep and the customer, the proposed resolution, the solution steps confirmed, and the KB article that was referenced. The prompt processes the full case history in a single run.

The fields are populated automatically and the rep can review them before submitting. In most cases the generated content is accurate enough to close without edits, but the rep retains full control and can adjust any field before clicking close.

Yes. GPTfy can be configured to populate any field on any Salesforce object as part of the closure prompt. The demo shows root cause reason, root cause analysis, and case summary, but the same approach applies to any field your company policy requires before a case can be closed.

The time saved depends on case complexity, but reps typically spend two to five minutes per case re-reading history and writing closure fields. For a rep handling 30 cases a day, eliminating that step can recover over an hour of productive time daily.

GPTfy applies its security and masking layer before any data leaves Salesforce. Personally identifiable information is masked before the prompt is sent for processing. The raw case content stays inside your Salesforce org only the anonymised context travels to the AI model.

No. The closure prompt is configured inside GPTfy's Prompt Builder without writing any code. You define which fields to populate, which case data to include as context, and which AI model to use. A Salesforce admin can set this up without developer involvement.

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Video transcript
Here I am inside a Salesforce case. You can see the original inquiry in the description field, and there has been a lot of back and forth between the rep and the customer all stored in the case comments. Our rep has resolved this case. The proposed resolution is populated here: the issue, the confirmed solution steps, and the KB article that was referenced to arrive at this resolution. The case is ready to close. But according to company policy, the rep has to fill out three fields before they can: root cause reason, root cause analysis, and case summary. This is where the rep loses time. They've already solved the problem. Now they have to context-switch, re-read the entire case, and manually write up these fields before moving on. Multiply that across dozens of cases a day and it's a real drag on productivity. So let's fix that. Here in the GPTfy console, I'm going to select a prompt and run GPTfy. This prompt will pull all the data on this case and generate the root cause reason, root cause analysis, and the case summary. Here we have it. And as I scroll down, you'll see that these fields have also been automatically populated in Salesforce as the prompt ran. Root cause reason populated. Root cause analysis populated. Case summary populated. Everything the rep needs, already filled in. That's the value here. Your reps should be spending their time solving problems, not doing paperwork. GPTfy eliminates that last-mile friction before case closure. And it works for any field, any object, any process you need to enforce before a case gets closed.

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Last updated: 2026-04-10