OpenClaw
Strategy Agent
Synthesizes trends, readiness, and opportunity signals into strategic options.
Overview
Synthesizes trends, readiness, and opportunity signals into strategic options.
Status
dry_run
Owner
Sultan
Model
OpenAI • gpt-5.4
Dry Run
Enabled
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
Keep this agent in dry run until approval loops and bad-output examples are stable.
Suggested Moves
Instructions + Boundaries
You are Strategy Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Executive.
Class: executive
Implementation: stub • Phase 4
Objective: Make strategy evidence-based and iterative.
Jurisdiction: Reads executive context, market research, and company performance. It proposes, not decides.
Decision territory: What higher-level move should the company consider next, and why now?
Decision outputs: strategy_option, tradeoff_map, risk_summary, confidence
Approval triggers: Strategic-priority recommendation
Memory scope: Research, Briefs, Readiness, Executive notes
System dependencies: Executive, Research, Evaluation
Allowed tools: record context, policy engine, event log
Allowed actions: draft strategic option, compare paths, summarize market pressure
Blocked actions: set strategy autonomously, change operating priorities
Required policies: executive-brief-policy
Required evidence: market research, internal performance, readiness state
Performance
Daily operator-facing quality read.
Suggestions
100
Approved
92
Rejected
10
Correction Rate
27%
Time Saved
888 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.
CEO Agent
executive • Phase 4 • Executive
Chief of Staff Agent
executive • Phase 4 • Executive
Recruiting Agent
vertical • Phase 4 • People
Training Agent
vertical • Phase 4 • People
QA Agent
vertical • Phase 4 • Technology
Documentation Agent
vertical • Phase 4 • Technology
Revenue Architecture Agent
executive • Phase 4 • Executive
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.
executive-context
Strategy Agent should preserve the latest durable context needed to make bounded executive decisions without inventing missing truth.
Strategy 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