16x ROI. Real Numbers.

The ROI formula is transparent: (Users x Hourly Cost x Hours Saved Per Week x 52 Weeks) minus the annual software cost. For Sales Cloud, 800 users saving approximately 0.77 hours per week at blended cost produced $4.3M in annualized savings against the platform investment, yielding a 16x return.

A 3% productivity gain means each sales rep reclaims roughly 40 minutes per week previously spent on manual data entry, account research, and report preparation. Across 800 users, that compounds to 31,968 hours annually redirected from administrative tasks to revenue-generating activities like prospecting and client engagement.

Three factors drove the decision: first, GPTfy's Bring Your Own Model architecture let them use their preferred AI providers without lock-in. Second, fixed per-user pricing provided budget predictability versus consumption-based models. Third, GPTfy required no additional data platform purchases to function inside Sales Cloud.

GPTfy is 100% Salesforce-native, meaning raw data stays within the Salesforce environment. Before any data reaches an external AI provider, GPTfy applies multi-layered PII masking via Named Credentials. Every AI interaction is logged with full audit trails, meeting the governance requirements of regulated financial services firms.

Yes. The same GPTfy installation, security framework, and AI model configuration works across Sales Cloud, Service Cloud, and other Salesforce products without separate deployments. Once deployed in one cloud, extending to additional Salesforce products requires minimal additional configuration.

The rollout followed a phased approach: pilot with 50 users in weeks 1-4, expansion to 200 users in weeks 5-8, and full 800-user deployment by week 12. GPTfy's Salesforce-native architecture meant no external infrastructure to provision, which significantly compressed the timeline compared to platform-level AI projects.