Agentforce & Data 360
From Early Stage Pilots to Enterprise-Wide Performance
AI agents and unified data, applied to the revenue lifecycle on Salesforce.
The work
Getting agents into production
Most Agentforce programs stall between the demo and the deployment. These are the three shifts that get them past it.
Expanding
Agent-led automation across sales, service, and revenue functions.
Activating
Unified customer data for real-time strategic intelligence.
Scaling
Transforming proven pilot use cases into full enterprise programs.
Data first
You can’t ground AI agents in fragmented data.
Our Technical, Data and AI workstream assesses readiness and designs the data foundation first. Agents that quote, bill, and renew need to read from the same record the rest of the business does.
- Data 360The grounding layer
- MuleSoft and BoomiMiddleware
- ERP integrationIncluding NetSuite
- Multi-Cloud CoreSales, Service, Experience
Where to start
AI Readiness Assessment and Blueprint
“We want Agentforce but don’t know where to start.” Advisory begins there: assessing readiness and designing the data foundation before anything gets built.
Neocol holds a seat on the Salesforce Agentforce Partner Advisory Board.