Turn CRM into an execution layer AI agents automate daily work, deliver real-time insights, and reduce manual effort across Salesforce and Dynamics CRM environments.
CRM adds a natural-language operating layer on top of your CRM so users can:
(no SQL / FetchXML / custom reports)
Smart quotes, pipeline insights, upsell recommendations
Example prompt:
Users ask for high-value deals likely to close, and AI returns opportunity lists + recommended next actions
Case prioritization, SLA monitoring, sentiment signals
Faster resolution using unified customer history and recommended actions
Segmentation, campaign intelligence, engagement insights
Unified, consolidated views across CRM entities
Beyond static dashboards
Opportunity scoring, churn prediction
RBAC and enterprise trust model
Works with Salesforce clouds, Dynamics modules, Power Platform, Azure AI Services, Teams, and Power Automate
This is the missing piece most CRM AI pages don't explain how it actually executes work:
Orchestrates multi-step automations behind CRM actions (approvals, routing, handoffs)
Extends CRM into voice workflows that complete tasks during calls (booking, updates, routing)
Adds forecasting and trend intelligence to pipeline, churn, and capacity planning
Supports global CRM enablement with secure translation workflows
Purpose-built natural-language interface for Dynamics data with cross-entity insight and actionable outputs
(sales, service, marketing, leadership)
The workflows to automate
The reporting bottlenecks to remove
The measurable KPIs to improve