Ai Business Strategist

A research-backed strategic decision-making toolkit for scenario planning, stress-testing, and investor-grade scoring.

Install
cmdop skills install agensi-ai-business-strategist

AI Business Strategist is a skill published by agensi that implements a Strategic Decision-Making (SDM) framework within an AI agent. It is designed to address shallow or overly optimistic AI analysis by enforcing mechanism-depth reasoning — tracing chains of causation rather than listing surface-level risks or generic recommendations.

The skill provides four main analytical modes. Scenario Planning generates multi-layered future environments, including second-order effects and specific hedging strategies. The Devil’s Advocate mode directs the agent to act as a critical board member, surfacing explicit failure mechanisms and existential risks in a given plan. Virtual Stakeholder Simulation pressure-tests strategy and messaging against a diverse persona group that can include regulators and competitors, approximating a wisdom-of-the-crowd review. Investor-Grade Evaluation scores a business plan on a calibrated 0–100 scale across 10 dimensions, structured to reflect the decision-making patterns of venture capital and angel investors.

This skill is relevant when a developer or founder wants an AI agent to do more than summarize ideas — specifically when the goal is to stress-test a business plan, identify failure modes before committing resources, or prepare materials that can withstand investor scrutiny. It is not suited for tasks outside business strategy analysis, such as data querying, code generation, or operational tooling. There are no declared environment variables or external service integrations required.

Use cases

  • Run scenario planning on a startup idea to surface second-order risks before fundraising
  • Use devil's advocate mode to identify existential failure mechanisms in an existing business plan
  • Simulate regulator and competitor responses to a proposed go-to-market strategy
  • Score a business plan across 10 investor-relevant dimensions to prioritize revisions
  • Stress-test strategic messaging against a diverse stakeholder persona group
  • Prepare investor-ready documentation by iterating through the SDM framework

When to use it

  • When an AI agent needs to move beyond generic strategic advice to mechanism-depth analysis
  • When preparing a business plan for investor review and needing structured scoring
  • When stress-testing a strategy against adversarial stakeholder perspectives before resource allocation
  • When scenario planning with second-order effects is required, not just a list of risks

When not to use it

  • When the task involves database access, APIs, or any operational tooling — this skill has no tool integrations
  • When the need is market data retrieval or financial modeling with live data sources
  • When the user needs code generation, infrastructure management, or data analytics
  • When a simple summarization or Q&A task is sufficient and deep strategic analysis is not required