Agent readiness and governance
Move from AI ideas to governed Agentforce workflows by defining the right first use cases, data context, permissions, actions, tests, and human handoffs.
Service track
Agentforce Enablement
Discovery output
A scoped path that distinguishes focused Quick Start work from deeper custom implementation.
Operating frame
Agentforce works best when the business process is clear before the agent is built. Lodestone helps teams identify practical use cases, map required CRM context, design action boundaries, and prepare launch plans that make agents useful without making the org fragile.
A focused assessment for teams that want to know where Agentforce can create value now and what needs cleanup first.
Use case discovery and value ranking
Data, permission, and automation readiness review
First-agent roadmap with risks and dependencies
A deeper delivery path for agent action design, prompt and context engineering, testing, escalation, observability, and governance.
Agent action and instruction design
Human handoff, audit, and exception model
Testing, launch support, and adoption plan
Signals we map
Use case value
Action boundaries
Governance model
Agentforce angle
Agents grounded in trusted Salesforce context
Bounded actions that respect permissions and ownership
Operational tests before production launch
Business outcomes
Clear first-agent roadmap
Lower automation risk
Simplified Agent Orchestration
Next step
The fastest useful estimate comes from structured context: business goals, current state, users, systems, risks, timeline, and the outcome this track needs to produce.
