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
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Last updated: February 2026
