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GPTfy - Salesforce Native AI Platform

Your Sales Playbook. Every Deal.

GPTfy reads opportunity data, contact roles, and activity history to deliver stage-specific coaching and flag missed steps directly inside Salesforce.

Sales methodology only works if reps follow it on every deal. This demo shows how GPTfy encodes your playbook into a plain-English prompt and applies it automatically to each opportunity, surfacing gaps and objections without manager intervention.

Capabilities covered

Methodology-Driven Prompts

  • Write your complete sales playbook — stage gates, required activities, objection-handling rules — directly into the prompt in plain English.
  • Include examples of ideal coaching outputs so the AI formats guidance consistently for your reps.

Opportunity Data Extraction

  • GPTfy packages the opportunity record, contact roles, and all related activity logs into a structured payload before sending to AI.
  • The AI cross-references that data against your embedded rules to identify specific gaps at each deal stage.

Bring Your Own Model

  • Run deal coaching prompts against Google Gemini, Azure OpenAI, AWS Bedrock, or any other supported provider.
  • Switch models without rewriting prompts — the same plain-English guidance works across all supported AI providers.

In-CRM Delivery

  • Coaching output renders directly on the opportunity record inside Salesforce.
  • Trigger downstream Flows or update custom fields based on AI recommendations to automate follow-on actions.

Use this video when

Your sales team has a defined methodology but inconsistently applies it across deals — AI enforces it on every opportunity

Deal reviews take too much manager time because reps haven't logged required activities or engaged the right stakeholders

You want to scale coaching beyond what managers can deliver one-on-one without adding headcount

Revenue operations wants a repeatable, auditable process for verifying that deals meet stage criteria before advancing

You are onboarding new reps and want AI to provide immediate, deal-specific guidance without waiting for manager feedback

Your pipeline review meetings reveal the same gaps repeatedly — AI surfaces them earlier so managers focus on exceptions

Frequently asked questions

The prompt reads the opportunity record itself — stage, contacts, and contact roles — plus all related activity records, including meeting notes and call logs. GPTfy packages this data in a structured format and sends it to the AI model, which evaluates it against your embedded sales methodology rules.

The coaching guidance is written directly into the prompt in plain English. For each opportunity stage, you define what actions should have been taken, what milestones need to be reached, and what the next step should be. The AI applies those rules to the actual opportunity data and flags gaps — for example, noting that a decision maker meeting has not been scheduled for a deal in a late stage.

GPTfy's bring-your-own-model architecture supports any AI provider accessible via API — Google Gemini, Azure OpenAI, AWS Bedrock, and others. You choose the model that fits your data residency, cost, and performance requirements, and the same coaching prompt works across all of them.

Yes. The coaching prompt is written in plain English with Salesforce field references embedded inline. Sales operations managers, sales enablement specialists, and methodology consultants can read and update the rules without writing code. You can also embed example outputs to shape how guidance is formatted for reps.

The AI response appears directly on the opportunity record inside Salesforce. Reps do not leave their workflow to receive coaching — they run the prompt from the same page where they manage the deal. The output can also trigger Salesforce Flows or update custom fields if you want to automate downstream actions.

This demo is relevant if your team has a defined sales methodology that reps inconsistently follow, if deal reviews consume too much manager time, or if you want to scale coaching guidance beyond what managers can deliver one-on-one. It is also useful if you are evaluating how AI can replace manual inspection of activity logs during pipeline reviews.

Ready to see this in your Salesforce org?

Book a 45-minute session and we'll walk through this use case using your own data.

Video transcript
So I'm on an opportunity and on this opportunity, there is a bunch of contacts. There is a bunch of activities here — meetings that were held, what was discussed, and other interactions. So I have a bunch of things like these on this opportunity, a very typical opportunity. And I'm going to show you an AI prompt that you can actually use and incorporate a lot of the kind of logic that we talked about. So this is very interesting and actually something that's really never been done before. Prior to AI, everything else was a lot of guesswork. So I run this and what you will see is when this prompt executes, GPTfy is taking all of this data — the opportunity data, the related activities, all of the contact opportunity contact roles — and sending it to AI. And what AI is doing is evaluating that data against the rules. It's saying you haven't scheduled a meeting with a decision maker based on the stage of the opportunity. There are some objections that somebody has raised, and it's saying you need to address these objections, and it's giving you the reasoning behind that advice. So it's a really interesting way for companies to distill all of the selling guidance that they want to incorporate and actually deliver it. So I'm going to take a few minutes and show you under the hood what's happening. I'll click on this thing and show you what we call a security audit record. And basically what you're seeing now is that I'm going against, in this case, Google AI. We can go against any AI — if you prefer Gemini, Azure, Bedrock, AWS, whatever. So this is my prompt, a very plain English prompt with some field names embedded in it. This is stage name from opportunity, for example. And so basically in this prompt, I have the same guidance. I'm saying, look, if this opportunity is in prospecting, evaluate the size and whatever. Look at this and this is the action item. If they haven't done it, ask them for it. So it's got all of this guidance baked in and it's plain English. The beauty of this is that you can actually have business analysts and sales operations people and all the specialists in this space — in your industry, in your customers' organization, if you're in consulting, or for your employer — you can bring the best sales thinking and write as much of these rules as you want. Because AI is significantly getting more capable of addressing a lot of this information. This is called token context size. So you can have as big of a context as you want, and you can write a lot of these things if you want. You can write like 70 pages of guidance into a prompt. But the idea is that you are now able to put in a lot of this information. You may also give some examples of like, hey, if this happens, these are some examples of how you want the feedback to be given to the end user. So you've got all of this information in the prompt, and then we are extracting this information from Salesforce in a structured format, sending it to AI, AI evaluates it, comes back with a bunch of recommendations. And essentially you can then extract this — GPTfy is showing this right on this view — and we can update it, filter there, you can run flows, do whatever you like. So that is really a very interesting way to accelerate sales by bringing the best practices from inside your company, from third party consultants. Use whatever framework you want to use, and it's a great way to move things forward.

Last updated: February 2026