{{first_name | Leader}}, welcome back. Today’s updates:
Stop bot abuse and protect AI trials with real-time detection.*
Google launches Gemini Enterprise
JP Morgan CEO says AI adoption is just beginning
Tools, resources, and a prompt to check your AI readiness ⬇️
Free trials help AI apps grow, but bots and fake accounts exploit them. They steal tokens, burn compute, and disrupt real users.
Cursor, the fast-growing AI code assistant, uses WorkOS Radar to detect and stop abuse in real time. With device fingerprinting and behavioral signals, Radar blocks fraud before it reaches your app.
Google has rolled out Gemini Enterprise, its conversational AI platform designed for companies that want to integrate AI directly into their daily work. It connects employees, workflows, and data under one secure layer, powered by Google’s latest Gemini models and integrated deeply with Workspace.
What stands out is how practical the framing is.
Instead of chasing abstract intelligence, Google is going after the internal-use case: every employee can ask, automate, and analyze within the tools they already use.
A unified AI assistant lets teams query data or automate tasks directly in Workspace.
Custom and pre-built agents handle operations, HR, and support tasks.
Security and governance are built in, meeting SOC 2 and GDPR standards.
We’re watching AI finally move from “search” to “systems.”
If Gemini Enterprise works as intended, it won’t just answer questions; it’ll start stitching together how work actually gets done inside large companies.
In other news
Dell raises its AI-driven growth forecast through 2030, citing unprecedented enterprise demand for AI infrastructure and doubling its projected sales and profit estimates.
Invisible Technologies, a leading AI training infrastructure provider for Microsoft, AWS, and OpenAI, raises $100M to scale its platform, now valued at over $2 billion
Productivity Tools
Factory: Ship faster with autonomous agents, Droids, that turn tickets into pull requests.
Regie.ai: Uses generative AI to automate sales outreach and prospecting tasks.
Neuron AI: Run blazing-fast LLMs offline on Apple devices; zero data leaves.
Supaboard.ai: Ask natural-language questions, get BI dashboards auto-built in seconds.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Useful Resources
Explore HubSpot’s latest guide on AI-driven email content generation to improve engagement and personalization.
Learn why sales teams must become product experts even in fast-growth SaaS companies.
Understand how personalized search enhances productivity and collaboration in Slack.
Compare perspectives on AGI vs. AI and what it means for the future of automation.
Discover underdog AI startups featured in a16z’s top 50 list.
Where has AI already started to “take over” in your daily work?
In a recent Bloomberg interview, JPMorgan CEO Jamie Dimon said enterprise AI adoption is “only at the tip of the iceberg,” yet the bank’s $2 billion annual AI investment is already delivering measurable returns.
What did he share?
Operational ROI: AI has generated roughly $2 billion in benefits across risk, fraud detection, and client operations.
Company-wide adoption: AI is embedded across finance, marketing, and compliance—not confined to R&D.
Leadership alignment: The C-suite now treats AI as a strategic capability with clear governance and scaling plans.
Enterprise AI has moved past the demo phase. JPMorgan’s results prove the returns are real, and now the race is about who can scale fast without breaking compliance or trust.
We recently broke down how JPMorgan uses AI across its daily operations in our AI at the Top issue.
💰 Funding
n8n raised $180M Series C at a $2.5B valuation to expand its AI orchestration platform.
Havoc AI raised $85M to develop advanced maritime autonomous systems solutions.
💼 Roles in AI
Machine Learning Engineer, Safeguards at Anthropic (US)
Senior Machine Learning Engineer at Woven by Toyota (US)
🐦 ChatGPT on your Homescreen?
This screenshot explains why ChatGPT might replace your entire home screen.
You’re not opening apps anymore… you’re talking to them.
Probably the #1 place to be building right now (800M weekly users, one click away from trying your idea).
— #Aadit Sheth (#@aaditsh)
12:08 AM • Oct 8, 2025
AI Integration Readiness Checker
When to use this?
You’re considering automating a workflow but aren’t sure if the process, data, or team is ready.
You are an AI solutions architect.
I’ll describe a business process we’re thinking about automating.
Ask me a series of diagnostic questions (one question as a time) to evaluate its AI-readiness.
Focus on:
Process clarity (steps, decision logic, documentation)
Data availability & quality
Tools & integrations already in place
Compliance & risk factors
Change-management impact
After I respond, summarize in a table:
| Dimension | Readiness Level (High/Medium/Low) | Key Gaps | Next Step |Correct input style:
Describe the full workflow you want to automate, not just the title.
Add detailed company context. Eg:
“We’re a financial services firm managing 200+ client accounts. Our monthly expense approvals happen via Excel and email, with manual manager sign-offs and no system integration.”
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q: Which function in your company will feel AI’s biggest impact by 2026?
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.