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THE AI ADVANTAGE
Your AI is operating with amnesia.
It's not because the technology is flawed. It's because you never gave it a memory. 95% of enterprise AI pilots deliver no measurable P&L impact, according to MIT's State of AI in Business 2025. The root cause isn't the model — it's the missing context.
Enterprises have systems of record for transactions (ERP) and relationships (CRM). No one built one for decisions.
As Igor Rikalo, President and COO of o9 Solutions, wrote in Forbes recently, your AI can't learn from the context, trade-offs, and human judgments that live only in meeting notes and email threads. It starts every planning cycle with partial amnesia, reworking problems your team already solved.
o9 Solutions calls this "decision memory" — a structured record of not just what was decided, but why, what was rejected, and what happened next. When you store the why alongside the what, your AI stops starting from zero every time. Intelligence compounds rather than resets.
IN PARTNERSHIP WITH ATTIO
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TRY THIS NOW
You can start building your company's decision memory in the next 10 minutes. The goal isn't to document everything — it's to capture the why behind your most critical decisions.
Identify one high-impact, high-frequency decision. This could be a weekly forecast override, a monthly budget reallocation, or a quarterly product roadmap change. Pick the one your team debates most often.
Create a lightweight decision log. Five fields, five minutes. That's it. Use a simple template in Notion or a shared doc — the goal is frictionless capture, not a formal process.
Run this prompt in Claude. Use it to generate a custom decision log template tailored to the specific decision you identified in step 1.
PROMPT OF THE WEEK
Act as a Chief of Staff specializing in Decision Intelligence.
My team needs to start building a "decision memory" to improve our AI's effectiveness over time. Our first focus is on a recurring decision: [Insert your specific decision, e.g., "overriding the quarterly sales forecast"].
Create a concise, structured markdown template for a "Decision Log" tailored to this specific decision. The template must be easy to fill out in under 5 minutes and capture the essential context for future AI analysis. Include fields for:
a) The Decision Made (a clear, one-sentence summary of what was decided).
b) The Primary Driver (the single biggest reason this decision was made).
c) Alternatives Considered (a brief list of options that were rejected and why).
d) Key Trade-offs (what was sacrificed or deprioritized to make this choice).
e) Expected Outcome & Metric (what success looks like and how it will be measured).
f) Confidence Score (on a scale of 1-10, how confident is the team in this decision).
After the template, provide 3 tips for making this decision log a sustainable habit within a busy leadership team.THE EDGE
A 2025 Cloverpop survey found that only 6.5% of organizations consider their decision-making highly effective — and just 3% saw major improvements in speed from AI adoption. The gap between you and your competition isn't your AI model; it's your decision model. Start by logging your next three decisions. That's the whole move.
IN PARTNERSHIP WITH ALL THINGS AI
Two days. 4,000+ practitioners. Memories we'll never forget.
Thank you to every attendee, speaker, sponsor, and volunteer who made this year's conference something truly special. You ARE this community.
The conversation doesn't stop here. Join our Meetup group to stay connected and be the first to know about upcoming events in the Raleigh-Durham area. We'll see you at the next one! 🚀
Know a CTO frustrated that AI isn't delivering ROI? Share this with them with one line: "This is why our AI keeps starting from zero."
What's the one decision in your org that gets relitigated every quarter? Reply and tell me. I'm tracking the patterns.
— Mark
Your AI Sherpa,
Mark R. Hinkle
Publisher, The AIE Network
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