01
Discover
Find where AI creates the most value.
- Map the workflows that actually run the business
- Interview the teams doing the work
- Rank opportunities by impact, not novelty
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newsletter readers
280+
leaders interviewed
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The gap
AI is moving fast. Most companies aren’t.
- 01Everyone is experimenting. Almost no one is getting real business value.
- 02AI usage is fragmented — every employee uses it differently.
- 03Company knowledge is disconnected from the tools.
- 04Teams don't trust the outputs, so they don't rely on them.
- 05Leaders have little visibility into what's actually being used.
- 06Initiatives lose momentum after the first wave of excitement.
How AI Ready helps
From experimenting with AI to operating on it.
One path from scattered pilots to AI that runs in your daily operations — and keeps getting better.
02
Deploy
Put AI into the workflows that matter.
- Redesign the workflow around the model
- Automate the repetitive middle
- Ship into daily operations, not a sandbox
03
Enable
Help every employee get more from AI.
- Leadership and team training
- Shared practices, not scattered habits
- AI literacy that sticks
04
Operationalize
Make AI reliable across the business.
- Connect AI to trusted company knowledge
- Keep context current and standardized
- Give leaders visibility; improve continuously
Outcomes
What changes when AI actually works.
Higher productivity across every team
More operating leverage from the same headcount
Faster execution and decisions
Less repetitive work
Confident, governed scaling
Compounding advantage over slower competitors
Platform
The operational infrastructure for enterprise AI.
As we helped companies operationalize AI, we kept hitting the same infrastructure problems. So we built our platform to solve them.
AI needs reliable contextConnect AI to trusted, current company knowledge
Knowledge changes constantlyKeep context accurate and continuously updated
Shadow AI creates riskStandardize and govern how teams use AI
Teams need consistencyOne set of practices, surfaced where work happens
Leaders need visibilitySee adoption, reliability, and impact in one place
The newsletter
Operator notes from 280+ leader interviews.
What’s actually working with AI inside real companies — no hype, four sends a week. Read by 50,000+ operators.
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AI ReadyDaily Brief · Jul 1, 2026
The AI success rate your team is probably ignoring
Spotify's AI workflow isn't about more Claude sessions; it's about the verification layer they built around them.
THE AI BRIEF Today's signal: Spotify's AI workflow isn't about more Claude sessions; it's about the verification layer they built around them. In today’s issue: Main story: The AI success rate your team is probably ignoring Also worth knowing: Anthropic renegotiates Amazon's per-token terms, California puts Claude in every state agency, GPT-5.6 surfaces in Cursor before launch, and more THE READ Spotify ships 4,500 production deploys a day with 73% AI-assisted pull requests. The number that actually explains why it works is 80%, and it has nothing to do with the model. Spotify VP of Engineering Niklas Gustavsson disclosed this week that engineers at the company now run 5 to 10 Claude session…
Read the issue
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BUILT BY
Built by Seeko.Seeko was founded by Haroon Choudery, who's spent a decade working on AI literacy at scale. He co-founded AI for Anyone in 2017 with his brother Hamza and Mac, focused on teaching AI basics to underserved populations — the nonprofit has now reached 70,000+ people. He previously co-founded Autoblocks, an AI evaluation platform that sunset in late 2025 to focus on Seeko full-time. We write AI Ready for 50,000+ newsletter readers each week.