Operating AI
When Every Meeting Is Recorded, Who Governs the Transcript?
AI notetakers made universal recording the default. The meeting corpus is now a governance surface no one owns. Here is who has to claim it.
6 min read
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AI that works. Data you still control.
We implement AI for mid-market companies who cannot afford to lose control of their data or their decisions. One firm, strategy to production. We stay until it works.
Your company is already using AI. The question is whether anyone is governing it.
Employees don't ask permission. Copilot, ChatGPT, and a dozen others are already running inside your organization. Gartner estimates 40% of firms will face a shadow AI security incident this year. Kiteworks found 63% of organizations cannot enforce limits on what AI is actually doing with their data. The risk is not a future decision. It is a present condition.
Move Fast
Why Not Both?
Stay Safe
What the data shows
32.7%
AI code accepted without revision
LinearB, 2026, 8.1M PRs
66%
of developers cite AI's "almost right" problem
Stack Overflow, 2025, 49K+ devs
40%
of orgs will face a shadow AI incident this year
Gartner forecast
63%
cannot enforce purpose limits on AI systems
Kiteworks, 2026
19% slower
Developer output with AI tools (believed 24% faster)
METR, 2025
The gap between AI confidence and AI control is where our clients find us.
How we are different
One firm, strategy to production.
No handoffs between vendors. No lost context. No re-explaining your business to a new team every phase. The knowledge stays, the accountability stays, and the work keeps moving.
Governance built in, not bolted on.
Controls from day one, not an afterthought. We design for compliance, data protection, and explainability before we write a single line of code.
We stay until it works.
Not until the contract ends. Not until the hours run out. Until it works. This is contractual, not marketing.
Your AI Journey
Three offers. One progression. Start with knowing where you stand.
Built for companies where control matters
We work with companies in industries where AI cannot fail.
Healthcare
Providers, payers, healthtech
Financial Services
Banks, funds, fintech
Legal
Law firms, legal tech
Insurance
Carriers, brokers, insurtech
Scaling Startups
Series B+ with data to protect
The Thinking Wire
Published analyses on AI governance, implementation failure, and what the data actually shows.
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The AI Control Problem
The AI Adoption Spectrum: What the 6x Productivity Gap Really Means for Enterprises
OpenAI data shows frontier workers are 6x more productive. The gap is real, but the binary framing is wrong.
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The AI Control Problem
AI Severed the Link Between Output and Competence
Production cost dropped to zero. Reading cost did not. The bottleneck moved from generation to verification, and that is where competence now lives.
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Operating AI
Platform Governance Is Splitting: Reddit Labels Bots While ChatGPT Sells Them Ad Space
Reddit and ChatGPT chose opposite governance models for AI presence. Both models carry brand risk. The question is which risk you are managing.
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The AI Control Problem
The Goblin Lesson: When Invisible Mechanisms Surface as Governance Failures
OpenAI traced a viral chatbot tic to a leaked reward signal. Canva and stylometry show what happens when vendors keep mechanisms invisible.
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Operating AI
Claude Design Shipped. Linear's CEO Fired Back. Both Are Right.
Anthropic launched Claude Design on Thursday. Linear's Karri Saarinen published the rebuttal on Friday. Design just had its governance moment.
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