For Customers: how to use AI in TaskRay + Salesforce to simplify complex project
management, reduce manual effort, and surface actionable insights across implementations, onboarding, and service delivery
For Salesforce: how AI-native apps like TaskRay expand the value of Agentforce by driving adoption of RCA, Sales, and Service Clouds with embedded project intelligence and automation
For Salesforce SIs: how to differentiate in the Revenue Cloud and Agentforce space by implementing AI-powered delivery accelerators that reduce project risk, create new advisory revenue streams, and scale customer success.
For Customers (TaskRay + Salesforce end users):
● AI Project Assistant in Agentforce: Auto-generate project summaries, risk alerts, and stakeholder updates to keep work moving
● Process Analyzer: Identify bottlenecks, track milestone performance, and receive recommendations to improve outcomes
● Customer Sentiment Insights: Monitor Salesforce data to flag early signals of dissatisfaction and prevent churn.
For Salesforce (AEs, SEs, Product Teams):
● Agentforce Showcase: Demonstrates how AI augments (not replaces) customer engagement while expanding Salesforce footprint.
● Revenue Cloud Synergy: TaskRay AI ties directly into RCA, ensuring every signed contract moves to delivery without delay.
● License & Stickiness Impact: AI features expand platform reliance, keeping customers inside Salesforce.
For Salesforce SIs (Revenue Cloud-focused consultancies):
● Implementation Differentiation: Deliver advanced, AI-powered onboarding and delivery processes that de-risk projects.
● Advisory Revenue: Use TaskRay’s Process Analyzer and MCP server concept to offer ongoing optimization services
● Scalability: Standardize AI-driven templates across industries to accelerate client go-lives and drive reference wins.
