Decision Intelligence

💻 Example: Decision Support with LLM

from openai import OpenAI

client = OpenAI()

def analyze_decision(context: str, options: list[str]) -> str:
    """Use an LLM to analyze a business decision."""
    prompt = f"""
    You are a Decision Intelligence analyst. Analyze this decision:

    Context: {context}

    Options:
    {chr(10).join(f'- {opt}' for opt in options)}

    For each option, provide:
    1. Pros and Cons
    2. Risk assessment (Low/Medium/High)
    3. Expected outcome
    4. Confidence level
    5. Recommended action with justification
    """

    response = client.chat.completions.create(
        model="gpt-4o",
        messages=[{"role": "user", "content": prompt}],
        temperature=0.3  # Low temperature for analytical tasks
    )
    return response.choices[0].message.content

# Example usage
result = analyze_decision(
    context="Our SaaS product has 10K users. Growth has plateaued at 2% MoM.",
    options=[
        "Launch a freemium tier to increase top-of-funnel",
        "Invest in enterprise sales team",
        "Build AI features to differentiate from competitors",
        "Expand to new geographic markets"
    ]
)
print(result)