Customer conversation layer
Use Conversation AI to answer, qualify, collect information & route the visitor.
Conversation AI plus controlled task agents
Combine customer-facing Conversation AI with controlled CRM agents, workflows & human approvals for more complex operational tasks.
Capabilities
The final architecture depends on your process, permissions, data & measurable goal.
Use Conversation AI to answer, qualify, collect information & route the visitor.
Use a controlled agent to analyze context, prepare recommendations or update permitted CRM fields.
Use GHL triggers, conditions, waits, tasks, notifications & communications to carry the process forward.
Require approval before sensitive updates, external messages, proposals or publication.
Delivery approach
Specify what the agent may read, write, recommend, escalate or never do.
Map CRM records, approved knowledge, forms, conversations & external systems.
Connect Conversation AI, workflows, task agents & human review without losing context.
Run adversarial scenarios, log decisions, protect private data & revise permissions based on evidence.
Evidence & related work
Frequently asked questions
Conversation AI manages interactions with customers. A task agent works behind the scenes with approved tools and CRM context to analyze or complete bounded operational tasks.
No. Give it only the minimum permissions required, block sensitive actions, log changes & keep human approval for consequential decisions.
Use them when the agent must securely reach a capability or data source that is not reasonably available through native GHL tools, workflows or supported integrations.
Next step