OpenClaw
Outreach Draft Agent
Creates first-touch and follow-up outreach drafts for email-led cadences.
Overview
Creates first-touch and follow-up outreach drafts for email-led cadences.
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 Outreach Draft Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Sales.
Class: vertical
Implementation: partial • Phase 1
Objective: Increase outbound quality without letting the system send loose or generic messages.
Jurisdiction: Reads lead context, account context, lists, cadence steps, and approved messaging guidance. It drafts, but does not send autonomously.
Decision territory: What should the next outbound message say, and what proof or personalization makes it credible?
Decision outputs: draft_message, personalization_hook, eligibility_note, confidence
Approval triggers: Auto-send recommendation, Suppression override request
Memory scope: Lead context, Cadence state, Messaging patterns, Correction history
System dependencies: CRM, Cadences, Governance, Memory
Allowed tools: record context, policy engine, event log
Allowed actions: draft outreach, suggest personalization, flag eligibility risk
Blocked actions: send email autonomously, override suppression state
Required policies: lead-response-policy, marketing-suppression-policy, no-agent-action-without-command-gate
Required evidence: lead context, cadence step, channel eligibility, message proof point
Performance
Daily operator-facing quality read.
Suggestions
70
Approved
62
Rejected
7
Correction Rate
27%
Time Saved
618 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.
Draft first-touch sequence batch
Generate 24 personalized draft emails for Milan and Dubai hospitality leads.
Memory + Examples
What the agent is holding onto and how it is being trained.
sales-context
Outreach Draft Agent should preserve the latest durable context needed to make bounded sales decisions without inventing missing truth.
Outreach Draft 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