GPTfy vs Agentforce: Two architectures. One Salesforce org.

No. GPTfy's Data Context Mapping grounds AI responses in your existing Salesforce objects — standard, custom, and related lists up to 3 levels deep. There is no additional data platform SKU, no separate licensing, and no weeks-long configuration before your first production prompt runs. For organizations that already have Salesforce Data Cloud, GPTfy connects directly to Data Cloud DMO and DLO objects as well — giving access to unified customer profiles without additional setup. Data Cloud is an option, not a requirement.

Yes — this is GPTfy's core BYOM capability. GPTfy connects to any AI provider through Salesforce Named Credentials. If your organization has negotiated agreements with Azure OpenAI, AWS Bedrock, Google Vertex AI, or direct contracts with Anthropic or OpenAI, GPTfy routes prompts through those existing agreements at your negotiated rates. You pay your AI provider directly. GPTfy's per-user licensing covers the orchestration layer — not the AI inference — so there's no duplicate AI spend.

GPTfy installs from the AppExchange as a Salesforce Security Reviewed managed package — typically 15 minutes. Connecting an AI model via Named Credential takes another 30 minutes. The no-code Prompt Builder lets Salesforce Admins build and deploy production-ready prompts the same day. Most teams go from install to first live AI interaction in under 4 hours. There is no data platform setup, no vector database configuration, and no custom development required for standard use cases.

Yes. GPTfy is built for GDPR, CPRA, HIPAA, FINRA, PCI DSS, and FEDRAMP-aligned environments. Because GPTfy runs as a 100% native Salesforce managed package with zero external servers, it can be covered under your existing Salesforce compliance certifications. GPTfy provides documented Security Narratives, CheckMarx automated code-scan reports, and source-code escrow for enterprise InfoSec due diligence. The Named Credential architecture specifically addresses FINRA Rule 4370 and SEC Rule 17a-4. Every AI interaction creates a Security Audit Record queryable for regulatory reporting.

Yes. GPTfy is an AppExchange managed package that coexists with any first-party Salesforce feature, including Agentforce, Einstein Copilot, Data Cloud, and all Salesforce Clouds. GPTfy does not conflict with or replace Agentforce — it operates as a separate, complementary layer in the same org. Many enterprises use GPTfy for immediate BYOM AI deployments while their Agentforce implementation proceeds in parallel, or run both indefinitely for different use cases.

GPTfy supports 15+ AI models via BYOM: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, DeepSeek, Perplexity, Llama, Grok, and any custom or internally-hosted endpoint. Each model is registered as an AI Model record in GPTfy Cockpit once and is then available to any prompt in the org. The model is a configuration on each individual prompt — different prompts can use different models for cost and performance optimization. When new models launch, you update a configuration field, not a contract.

BYOM — Bring Your Own Model — means connecting your organization's own AI provider contracts to Salesforce, rather than using a bundled platform model. For enterprises, this matters for three reasons: first, most large organizations already have negotiated pricing with OpenAI, Azure, or AWS — BYOM lets you use that pricing inside your CRM rather than paying twice; second, you maintain flexibility to switch models as the AI landscape evolves without rebuilding your Salesforce integration; third, your data processing agreements, data residency commitments, and AI governance policies remain between your organization and your AI provider — GPTfy acts as a technical orchestrator, not a data processor in that relationship.

GPTfy applies 4-layer masking before any data leaves your Salesforce org. Layer 1: field-value masking — specific Salesforce fields are masked by configuration. Layer 2: regex pattern masking — automatically detects and masks SSNs, credit card numbers, email addresses, and other patterns. Layer 3: blocklist masking — custom keywords and phrases are redacted. Layer 4: custom Apex masking — complex business logic for sensitive data not covered by the above layers. Only the masked, processed payload is sent via Named Credentials to your configured AI provider. Raw data never exits your infrastructure. Every masking event is logged in the Security Audit Record for that interaction.

GPTfy supports all Salesforce editions — Sales Cloud, Service Cloud, Experience Cloud, and all Industry Clouds — without requiring Enterprise Edition or above as a prerequisite. Agentforce requires Enterprise Edition minimum for AI features, with full capabilities available only in Unlimited or Agentforce 1 editions. GPTfy's AppExchange managed package architecture makes it edition-independent: if you can install AppExchange apps in your org, GPTfy can run there.