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Hey everyone,
There are two kinds of businesses using AI right now.
The first kind uses it to write emails, clean up copy, and generate the occasional social post. They think of AI as a writing assistant. Occasionally useful. Mostly supplementary.
The second kind has built systems. Not tools they open when they remember. Systems that run continuously, feeding them intelligence, flagging risks, and compressing weeks of analysis into hours.
AD BREAK #1
The AI notepad for back-to-back meetings
Most AI note-takers just record your call and send a summary after.
Granola is different. It’s an AI notepad. You jot down what matters during the meeting, and Granola transcribes everything in the background.
When the call ends, it combines your notes with the full transcript to create summaries, action items, and next steps, all from your point of view.
Then the powerful part: chat with your notes. Write follow-up emails, pull out decisions, or prep for your next call, in seconds.
Think of it as a super-smart notes app that actually understands your meetings.
BACK TO POST
PwC's 2026 AI Performance Study found that 74% of all AI economic value is being captured by just 20% of companies. The gap is not about access to better tools. Both kinds of businesses have the same tools. The gap is knowing what to build with them.
Here is exactly what the forward companies are building.
🔍 Competitive Intelligence That Runs 24/7
Most businesses learn about competitor moves when customers mention them in sales calls. The forward companies know within hours.
Monthly structured prompts in Claude or Perplexity tracking competitor pricing, messaging changes, new hires, and press coverage
Review mining on G2 and Trustpilot for the exact language frustrated competitor customers use — then using those words in outreach
Time-series competitor snapshots building into a picture of how the landscape is evolving, not just where it stands today
📋 Contract Risk Scanning
Somewhere in page 27 of your last vendor agreement was a clause you did not read. Most businesses sign contracts they have never properly reviewed.
Paste any contract into Claude and ask it to flag auto-renewal clauses, asymmetric liability caps, IP ownership issues, and non-standard terms
Follow up on each flagged clause with suggested alternative language and the argument for why the other party should accept it
Catches the data ownership and AI liability clauses now appearing in standard SaaS agreements that most people sign without noticing
💬 Monthly Customer Feedback Synthesis
Your customers are telling you exactly what is wrong and what they love. Most businesses never actually read all of it.
Export support tickets, NPS responses, app store reviews, and survey data monthly
Run a single synthesis prompt to get the top complaints, emerging themes, feature requests, and churn signals in one structured report
Overlay with competitive intelligence to find which competitor is most likely to poach your frustrated customers and what to say to prevent it
🔬 Patent and Regulatory Monitoring
Patent filings are public record. Every competitor filing tells you what they are building before they announce it.
Use Lens.org for free patent monitoring by competitor name
Feed filings into Claude for plain English translation of what they have invented and what it signals about their roadmap
Apply the same system to regulatory monitoring for any business in healthcare, finance, or any other regulated sector
AD BREAK #2
Email Still Wins. Here's How to Use It Better.
59% of Americans say most marketing emails offer no real value. That's not a threat, it's an opening. Get the AI-powered playbook for building email campaigns that actually convert.
Inside you'll discover:
How top brands achieve 3,600% ROI from email marketing
AI personalization techniques that drive 82% higher conversion rates
Tactics that have delivered 30% better open rates and 50% higher clickthroughs
How to build sequences for every stage of the customer journey, from welcome to re-engagement
Download your free AI-powered email marketing playbook today.
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📈 Predictive Churn Analysis
Customers who leave without warning almost always gave you warning. You were not looking at the right signals.
Export usage data and run a monthly analysis to identify customers whose login frequency, feature usage, or session length has dropped
Get a ranked retention call list with a suggested approach for each at-risk customer based on their specific pattern
Intervene before the cancellation decision, not after it
🎯 Pre-Call Sales Intelligence
The best salespeople have always done deep research before every meeting. AI makes this possible for every salesperson on every call.
15-minute pre-call briefing covering company priorities, recent news, likely objections, and the three questions most worth asking
Post-call notes processed into structured intelligence covering buying criteria, stakeholders, timeline signals, and suggested follow-up approach
Consistent meeting quality across the whole team, not just the top performers
Why most businesses are not doing this yet
Three honest reasons.
They are waiting for a perfect solution instead of starting with Claude and a good prompt
Nobody owns it, so it gets tried once and forgotten
They are measuring how impressive the demo is instead of what decision it improved
Pick one application from this list. Build the simplest version this week. Run it for 30 days. That is how every company in that 20% started.
Catch you next time!
P.S. Share this with whoever makes AI decisions at your company. This is the briefing that should be in their inbox today.