The AI Control Problem
The Automation Curve Is Really a Governance Curve
McKinsey's 6-level framework shows what AI agents can do. It doesn't show how to choose or enforce the right level.
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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.
More from our thinking
Operating AI
Your Agent Remembers Everything. Who Governs That?
Agent memory is the next governance frontier. Four architectures, four risk profiles — and nobody is auditing any of them.
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The AI Control Problem
When Enabling AI Changed the Rules: The Credential Escalation Pattern
Google API keys silently gained Gemini authentication. 2,863 keys found exposed. Enabling AI retroactively changes security assumptions.
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The AI Control Problem
The AI Verification Debt
96% of engineers distrust AI output. Only 48% verify it. The gap is not a discipline problem. It is a governance failure.
13 min read
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Governed Implementation
When Visa Extends Your Agent Payment Protocol: What MPP Means for Governed Commerce
Stripe and Paradigm launched MPP with Visa, Mastercard, and both AI labs. The protocol is live. The governance is not.
8 min read
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Engineering Notes
Harness Engineering Is Not New — But Naming It Matters
OpenAI calls it harness engineering. Anthropic calls it effective harnesses. The discipline is old. The recognition is overdue.
10 min read
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Ready to know where you stand?
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