0
Workflow runs
Reviewed automation this month
Combine approved knowledge, conversation context and explicit workflow rules to assist teams without allowing uncertain output to silently take over.
Illustrative workspace
Human-reviewed automation · Version 3
Workflow sequence
Receive customer message
New WhatsApp conversation
Understand intent
Classify request and required fields
Use approved context
Workspace knowledge selected by the team
Review or continue
Low-confidence output goes to an agent
Update the workflow
Assign owner and record the next action
Run summary
this month
low confidence or policy rule
to assigned owner
Fallback: route to a person
0
Reviewed automation this month
0%
Within configured policy rules
0%
Low-confidence or sensitive work
0s
From automation to an owner
Each capability works in the same workspace, with shared identity, permissions and operational context.
Generate a response draft from the active conversation for an agent to review.
Included capabilityGround assistance in the workspace and public knowledge sources you select.
Included capabilityIdentify the likely request type so the correct workflow can continue.
Included capabilityStructure relevant lead signals before assigning a clear human next step.
Included capabilityStart configured routing, follow-up, and record updates from approved events.
Included capabilityRoute uncertain or policy-sensitive output to a person instead of guessing.
Included capability
Use approved knowledge and selected conversation context to draft replies, classify intent, qualify leads, and trigger reviewed workflow actions.
Every AI-assisted action is grounded in selected context, checked against confidence and routed to a person when required.
Start from a message, lead event or configured trigger.
Classify the request and identify required context.
Use only selected sources and controlled workflow rules.
Proceed confidently or route the complete context to a person.
Confidence, source context, decision state and human handoffs remain visible so automation can be reviewed and improved instead of becoming a black box.
Assistance layer
Generate from selected knowledge and active business context.
Send uncertain output to the right person automatically.
Review signals, actions, fallbacks and workflow outcomes.
Human control stays explicit
Assistance can prepare and explain work; configured approvals still control consequential actions.
Explainable assistance for AI-Assisted Automation
Automation confidence
Illustrative readout from approved workspace context.
Signal strength
Automation confidence
Context grounded
Uses approved workspace data
Guardrails checked
Respects configured business rules
Fallback available
Keeps human review in the loop
Decision trace
Every suggestion keeps its context and review path visible.
1. Context
Approved data
2. Guardrails
Policy check
3. Assistance
Suggested action
4. Review
Human decision
Use approved knowledge and selected conversation context to draft replies, classify intent, qualify leads, and trigger reviewed workflow actions. The view below shows how its supported tools, operating controls, and outcomes stay connected.
Where teams use it
Prepare contextual drafts for agents to review and send.
Collect and structure signals before human follow-up.
Route ownership and update records from approved events.
Connected tools
Operating controls
AI-Assisted Automation
Shared operational context
Role-aware ownership
Visible activity history
Visible outcomes
Practical answers about ai-assisted automation, connected workflows, AI assistance, and team controls.
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