OpenClaw
Reply Classification Agent
Classifies prospect replies and recommends the next governed action.
Overview
Classifies prospect replies and recommends the next governed action.
Status
healthy
Owner
Sultan
Model
OpenAI • gpt-5.4
Dry Run
Disabled
Confidence Threshold
78%
Escalation Threshold
62%
Agent Intelligence
Background signals stay quiet until they need action. This panel brings forward the few things that actually matter now.
Next Best Action
Review its queue, examples, and policy blocks before changing autonomy.
Suggested Moves
Instructions + Boundaries
You are Reply Classification Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Sales.
Class: vertical
Implementation: partial • Phase 1
Objective: Turn inbox noise into clear state changes and next moves.
Jurisdiction: Reads inbound replies, cadence history, and linked records. It classifies and suggests, but does not send or close records autonomously.
Decision territory: Is this a positive reply, objection, stop signal, nurture signal, or routing event?
Decision outputs: reply_classification, next_action, suppression_signal, confidence
Approval triggers: Suppression recommendation, Opportunity-stage change recommendation
Memory scope: Reply history, Cadence history, Lead state, Suppression state
System dependencies: CRM, Cadences, Governance
Allowed tools: record context, policy engine, event log
Allowed actions: classify reply, recommend next action, create follow-up task
Blocked actions: send response autonomously, advance stage autonomously
Required policies: lead-response-policy, marketing-suppression-policy
Required evidence: reply content, cadence context, lead state
Performance
Daily operator-facing quality read.
Suggestions
72
Approved
64
Rejected
7
Correction Rate
27%
Time Saved
636 min
Revenue Influenced
$4,500
What It May Do
Authorized behavior inside its operating lane.
What It May Not Do
Things that stay human-owned or separately governed.
Related Agents
Peers in the same layer, phase, or operating domain.
Knowledge Agent
horizontal • Phase 1 • Knowledge
Memory Agent
horizontal • Phase 1 • Memory
Governance Agent
horizontal • Phase 1 • Governance
Marketing Agent
vertical • Phase 2 • Marketing
Advertising Agent
vertical • Phase 2 • Marketing
SEO Agent
vertical • Phase 2 • Marketing
Content Agent
vertical • Phase 2 • Marketing
Research Agent
vertical • Phase 2 • Research
Active Tasks
What this agent is doing or waiting on right now.
Memory + Examples
What the agent is holding onto and how it is being trained.
sales-context
Reply Classification Agent should preserve the latest durable context needed to make bounded sales decisions without inventing missing truth.
Reply Classification Agent boundary discipline
Use only available evidence, call out gaps, and route high-risk outcomes through approval law.
Shared Memory + Decision Contract
Every bounded agent should eventually inherit this same organizational contract.
Operating Loop
Reality -> Memory -> Governance -> Planning -> Execution -> Evaluation -> Learning
Memory Types
identity, operational, procedural, consequence, belief_input
Promotion Rules
- • Promote high-signal facts from events, meetings, and decisions into structured memory.
- • Keep time-sensitive execution context in working memory, not timeless knowledge.
- • Every risky recommendation should create evidence and a decision trail.
- • Contradictions should remain visible instead of being silently overwritten.
Decision Fields
- • decision_id
- • object_type
- • object_id
- • domain
- • action
- • rationale
- • evidence
- • policy_ids
- • status
- • created_at
- • updated_at