Should You Build an AI Agent?
Not every problem needs Agentic AI. Assess your use case across 4 critical dimensions to determine if AI agents are the right solution—or if simpler approaches would work better.
Co-created with Priyadarshan Patil, Sahaj.ai
The Best AI Solution Might Be No AI
Agentic AI systems are powerful but complex, expensive, and unpredictable. Before building an AI agent, ensure you've exhausted simpler alternatives: rule-based systems, traditional ML, process improvements, or off-the-shelf vendor solutions. This assessment helps you make an informed decision.
The 4-Dimension Framework
Evaluate your use case holistically: business value, alternatives, problem complexity, and organizational readiness.
Value Creation Potential
Quantifiable business impact, cost savings, revenue increase, and executive sponsorship.
Alternatives Evaluation
Due diligence on simpler solutions: rule-based systems, traditional ML, process optimization.
Problem Complexity
Multi-step reasoning, tool usage, unstructured inputs, and contextual understanding needs.
Risk, Cost & Compliance
Error tolerance, regulatory constraints, infrastructure maturity, and monitoring capabilities.
What Your Score Means
Based on your total score (4-16 points), you'll receive a clear recommendation on whether to proceed with Agentic AI.
Strong Candidate
High confidence - proceed with implementation
Conditional Fit
Can work with proper mitigation strategies
Proceed with Caution
Address foundational gaps first
Not Recommended
Consider simpler alternatives
What You'll Receive
Clear Recommendation
Strong candidate, conditional fit, proceed with caution, or not recommended
Dimension Breakdown
Detailed scores across value, alternatives, complexity, and risk
Actionable Insights
Specific red flags, gaps, and opportunities identified
Next Steps
Concrete recommendations based on your readiness level
Ready to Evaluate Your Use Case?
Take 10 minutes to answer 16 questions and get a data-driven recommendation on whether to invest in Agentic AI.
Start Assessment