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GPTfy - Salesforce Native AI Platform

GPTfy Blog

Expert insights on Salesforce AI, prompt engineering, security, and enterprise strategy.

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Frequently Asked Questions

The Sales & Service category includes 13 articles covering practical AI scenarios for Salesforce users: how to automate call logging and task creation, connect Snowflake data to Salesforce with AI, improve RFP responses, automate email-to-case workflows, use ChatGPT inside Sales Cloud and Service Cloud, leverage AI for CPQ and conversational selling, manage the customer lifecycle with AI, and whether AI can replicate a top-performing sales rep. These are written for sales reps, service agents, and revenue operations teams evaluating AI for day-to-day use.

The AI Development category covers 12 technical articles: how to integrate DeepSeek, Llama, OpenAI, and Google Vertex AI into Salesforce (BYOM), a comparison of GPT-4 vs Claude vs Gemini for Salesforce code reviews, how to automate Apex code reviews with AI, prompt engineering guides (the full prompt lifecycle, prompt grounding, security in prompts), Retrieval-Augmented Generation (RAG) in Salesforce, Salesforce Topics AI for unstructured data, MCP and A2A protocols for enterprise AI interoperability, and how to use AI for web scraping inside Salesforce. Essential reading for Salesforce architects, developers, and technical leads.

The Leadership category has 9 articles written for Salesforce executives, VPs, and AI program owners: the ROI of generative AI in Salesforce (with cost-benefit analysis), taking AI from pilot to production, the 4 key areas of Salesforce AI process architecture, how horizontal vs vertical AI models should shape your strategy, how to put your Salesforce data to work for AI, how AI drives real business value in the enterprise, and navigating the future of AI. Also includes an 'Uncomfortable Truth About Enterprise AI' - a frank assessment of where most AI deployments fail and how to avoid it.

GPTfy has 4 security-focused articles: a comprehensive guide to enterprise AI security in Salesforce, a deep dive on the GPTfy + Salesforce Trust Layer for secure AI deployments, a guide to GPTfy's privacy, ethics, data residency, and compliance architecture (covering GDPR, HIPAA-ready configurations, and data masking), and a technical overview of GPTfy's product architecture and security model. These are written for CISOs, IT security leads, and compliance officers evaluating AI security for enterprise Salesforce environments.

Use the category filters in the sidebar. Sales reps and service agents should filter by 'Sales & Service' and 'Use Cases'. Salesforce developers and architects should start with 'AI Development' - it covers BYOM, prompt engineering, RAG, and model comparisons. Executives and program owners should browse 'Leadership' and 'Security & Compliance'. You can also search by keyword - try 'BYOM', 'prompt engineering', 'ROI', or 'chatbot' to find specific articles instantly.

Yes. Click the bookmark icon on any article card to save it. A tray appears at the bottom of the page with a Copy Links button that generates a formatted list of article titles and URLs - ready to paste into email, Slack, Teams, or a Confluence page. Useful for building a reading list for your team or sharing relevant articles before a stakeholder meeting.

Last updated: February 2026