# Strategy Recommendations with AI

The partner wants three strategic options by Monday. Each needs a clear rationale, implementation considerations, financial implications, and risk factors. You have the analysis — now you need to turn it into a structured recommendation that the client can act on.

AI is your strategy structuring tool. It turns analytical findings into formatted recommendations with the rigor clients expect.

From Analysis to Recommendation

Strategy recommendations bridge "what we found" and "what you should do." AI excels at this bridge when you provide clear analytical inputs and specify the output structure.

You are a strategy consultant developing recommendations for a
mid-market B2B SaaS company ($40M ARR) whose net revenue retention
has declined from 115% to 102%.

Key findings from analysis:
1. Enterprise accounts (>$100K ARR) have 85% NRR vs. 110% for SMB
2. CSM-to-account ratio is 1:45 for enterprise vs. industry best
   practice of 1:15
3. Product complexity increased 40% (features shipped) without
   corresponding CS enablement
4. Competitor Y launched a lower-cost alternative capturing
   price-sensitive renewals