OpenClaw
Proposal Gate Agent
Checks whether a proposal or quote is actually ready to move forward.
Overview
Checks whether a proposal or quote is actually ready to move forward.
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 Proposal Gate Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Sales.
Class: vertical
Implementation: partial • Phase 1
Objective: Stop premature sending and protect commercial discipline.
Jurisdiction: Reads opportunity context, pricing completeness, proposal artifacts, and policy posture.
Decision territory: Is the proposal ready, blocked, or still missing critical inputs or approvals?
Decision outputs: gate_status, missing_inputs, approval_route, confidence
Approval triggers: Proposal-send recommendation, Margin exception recommendation
Memory scope: Opportunity context, Proposal artifacts, Pricing notes, Approvals
System dependencies: Quotes, Governance, CRM
Allowed tools: record context, policy engine, event log
Allowed actions: assess proposal readiness, flag missing inputs, route approval
Blocked actions: send proposal autonomously, override pricing policy
Required policies: proposal-gate-policy, margin-floor-policy, quote-profitability-policy
Required evidence: opportunity stage, pricing inputs, proposal artifacts, approval posture
Performance
Daily operator-facing quality read.
Suggestions
76
Approved
68
Rejected
7
Correction Rate
27%
Time Saved
672 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
Proposal Gate Agent should preserve the latest durable context needed to make bounded sales decisions without inventing missing truth.
Proposal Gate 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