Agentforce implementation, scoped to what it can actually do for you
Agentforce is Salesforce's AI agent platform. It lets you build autonomous or copilot-style agents that act on data already in your org, using your existing objects, automation, and permissions. CRM Unity evaluates whether Agentforce fits a specific process before building it, rather than treating it as a default add-on to every engagement.
Talk about your project →What's included
- Use-case evaluation, which processes are actually a good fit for an agent
- Agent design and configuration on existing Salesforce data and automation
- Testing and guardrails before an agent goes live
- Integration with existing Flows, Apex, and permission models
An agent is only as good as the org underneath it — see org audits if you're not sure your data and automation are ready for one.
Common questions
What is Agentforce and is it worth implementing?
Agentforce is Salesforce's platform for building AI agents that act on your org's data and automation. Whether it's worth implementing depends on the process: agents work well for well-defined, repeatable tasks with clear data already in Salesforce, and less well for judgment calls that still need a person. CRM Unity scopes that fit before building anything.
Does Agentforce replace existing Salesforce automation like Flow?
No. Agentforce sits on top of existing automation rather than replacing it. Flows, Apex, and validation rules still do the deterministic work; an agent adds a layer that can reason across that data and take action within the guardrails it's given.