Sultan

Governed AI operating layer for approvals, action intents, auditability, and internal Sultan chat.

Command

OpenClaw

Quote Risk Agent

Reviews quotes for margin pressure, discount risk, and financial leakage.

Overview

Reviews quotes for margin pressure, discount risk, and financial leakage.

Suggest

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.

Recently active91% confidence

Next Best Action

Review its queue, examples, and policy blocks before changing autonomy.

3 recent policy blocks need review.

Suggested Moves

Update examples before raising autonomy.
Keep blocked actions explicit and narrow.
Use live sessions when a human wants help inside a real record.

Instructions + Boundaries

You are Quote Risk Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Finance.

Policy cage

Class: vertical

Implementation: partialPhase 1

Objective: Keep commercial enthusiasm from quietly becoming bad economics.

Jurisdiction: Reads quote economics, discounts, shipping, duties, and linked opportunity context. It flags and routes; it does not finalize.

Decision territory: Does this quote respect margin law, and where is the financial risk concentrated?

Decision outputs: risk_summary, margin_status, approval_route, confidence

Approval triggers: Margin exception recommendation, Quote-send recommendation

Memory scope: Quote history, Profitability records, Discount patterns, Approvals

System dependencies: Finance, Quotes, Governance

Allowed tools: record context, policy engine, event log

Allowed actions: flag margin risk, explain leakage, route approval

Blocked actions: approve quote exception, change quote economics autonomously

Required policies: margin-floor-policy, quote-profitability-policy, finance-finality-policy

Required evidence: quote economics, shipping estimate, discounts, linked opportunity

Performance

Daily operator-facing quality read.

91% avg confidence

Suggestions

78

Approved

70

Rejected

7

Correction Rate

27%

Time Saved

690 min

Revenue Influenced

$4,500

What It May Do

Authorized behavior inside its operating lane.

4 permissions
Flag margin risk
Explain leakage
Recommend approval route
Suggest evidence gap

What It May Not Do

Things that stay human-owned or separately governed.

3 constraints
Approve exception autonomously
Change quote numbers autonomously
Finalize finance truth

Related Agents

Peers in the same layer, phase, or operating domain.

8 peers

Active Tasks

What this agent is doing or waiting on right now.

0 tasks

Memory + Examples

What the agent is holding onto and how it is being trained.

1 memories

finance-context

Quote Risk Agent should preserve the latest durable context needed to make bounded finance decisions without inventing missing truth.

Quote Risk Agent boundary discipline

Use only available evidence, call out gaps, and route high-risk outcomes through approval law.

Active prompt note: Registry-aligned prompt contract for Quote Risk Agent.

Shared Memory + Decision Contract

Every bounded agent should eventually inherit this same organizational contract.

System layer

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