{{first_name | Hi}}, your strategic AI update is here.
ServiceNow is rewriting software ROI, court sanctions make ungoverned AI a direct financial liability, and Anthropic’s new models require immediate cybersecurity scaling. As AI shifts from answering prompts to executing workflows, the lack of mature governance leaves businesses exposed. Security is now the absolute barrier to the agentic leap.
"AI agent workflows will drive massive AI progress this year—perhaps even more than the next generation of foundation models."
— Andrew Ng, Founder of DeepLearning & Co-founder of Google Brain
In today's lineup:
Robots
Security fears block the agentic AI leap
Real ROI from Gen AI
Your automated compliance and trust engine
People
Alexander Fitzgerald is coding the physical supply chain
Love
The hard math of inaction
Why Digital Transformations Fail by Tony Saldanha
ROBOTS 🤖
How are robotics and AI changing industries? We break down the latest news, tools, and innovations for you.
Top Insights
ServiceNow killing the seat license forces a total rewrite of software ROI.
Court sanctions prove ungoverned AI in regulated workflows is a direct financial liability.
Anthropic's upcoming models force companies to scale cybersecurity before deploying new AI.
The macroeconomic consensus just shifted from job augmentation to structural workforce displacement.
Microsoft's $10 billion SoftBank deal proves sovereign compute capacity dictates future cloud pricing.
Security fears block the agentic AI leap
A recent McKinsey survey reveals nearly 66% of enterprise leaders cite security risks as the primary barrier to scaling agentic AI. While organizations rush to deploy autonomous systems, only 30% have mature governance in place. This gap leaves businesses vulnerable as AI shifts from answering prompts to autonomously executing core workflows.
What leaders can do:
Assign explicit accountability for AI governance to dedicated internal audit or ethics teams.
Start with pilot projects to test autonomous agents in isolated environments before live integration.
Federate domain-specific teams to build technical controls that mitigate IP and data privacy risks.
Leverage phased approaches to measure AI trust as a core business enabler tied to EBIT impact.
What makes you hesitate to trust AI with autonomous decisions?
Real ROI from Gen AI
How human-centric AI delivers business results
Siemens runs over 50 AI applications and a digital twin at its Nanjing assembly plant to simulate operations before physical execution, which increased manufacturing productivity by 14% and cut production lead times by 78%.
Air France-KLM uses a Google Cloud-powered AI Factory to analyze cabin crew reports, reducing feedback processing time from months to days.
AT&T replaced its monolithic large language models with a LangChain multi-agent system on Azure. Using smaller, task-specific worker agents cut AI model costs by 90% while pushing daily processing capacity to 27 billion tokens.
Tool Spotlight
Your weekly briefing on tools that create competitive leverage
Your automated compliance and trust engine
Best for: Startups and mid-market teams that need to achieve security frameworks like SOC 2 fast. It acts as an out-of-the-box engine to automate evidence collection.
Choose if you…
Need to instantly pull evidence from your existing cloud and SaaS integrations
Want to build a public Trust Center to unblock sales deals quickly
Prefer pre-built policies that get your team audit-ready in weeks instead of months
Recently launched new agentic AI capabilities designed to transform third-party risk management and automate security questionnaires.
Best for: Scaling operations that need deep customization and AI-driven automation to handle complex compliance across a global footprint.
Choose if you…
Need AI agents to autonomously assess vendor risk and answer security questionnaires
Require customizable controls that adapt to your specific internal workflows
Manage overlapping compliance frameworks across multiple international regions
3 other platforms to explore
Secureframe, Sprinto, and Tugboat Logic are strong alternatives for teams looking to streamline security audits and monitor continuous compliance.
PEOPLE 👥
Meet the innovators turning bold ideas into real-world impact.
Transformation Champion
Alexander Fitzgerald is coding the physical supply chain
The $1.8 trillion component manufacturing market is quietly breaking. Aging machine shops cannot keep up with aerospace and defense demands. Alexander Fitzgerald built Isembard to rebuild the factory floor. His AI-driven operating system, MasonOS, automates everything from quoting to quality control. Fresh off a $50M raise to open 25 new facilities, Fitzgerald is proving that the best way to secure physical supply chains is to treat manufacturing like scalable software. Read more
LOVE ❤️
Practical wisdom, growth tactics, and a must-read book that will challenge the way you think.
The hard math of inaction
Waiting for AI to get cheaper is not a strategy. It is a liability. While you wait for costs to drop, your competitors are building proprietary data assets. You are not saving money. You are accumulating data debt that will cost millions to fix later.
Three taxes you pay every day you wait:
Data debt. Competitors are compounding their proprietary datasets while yours sit in silos.
Execution lag. AI is a muscle you have to build. You cannot buy operational maturity in two years.
Rising floor. As the market standard rises, your manual workflows become an anchor on your P&L.
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Transformative Reads
One book, handpicked from my conversations with friends, industry leaders, and tech innovators:
Why Digital Transformations Fail by Tony Saldanha diagnoses the specific failure points of the 70% of initiatives that crash. He moves beyond vague "culture" talk to identify the rigorous disciplines required at each stage of maturity. The book provides a checklist for ensuring your pilot doesn't just work, but survives the transition to the P&L.
Perfect for: Executives tired of pilot purgatory.
In Culture
The roadmap to scaling agentic AI is clear, but the detour is just too tempting.
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Much Love,
Matt and the Future Works team
