Governed Implementation
From Pilot Purgatory to Production: A Practical Guide to AI Agents
Why two-thirds of organizations are stuck in pilot purgatory, and how to join the 8.6% that reach production with AI agents.
12 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.
More from our thinking
Governed Implementation
Genie: How Uber Organized Data for AI That Works
Insights from Uber's Gen AI on-call copilot. RAG vs fine-tuning, Spark pipeline, and the quality secret.
12 min read
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Governed Implementation
If You Can't Verify Your AI's Output, Neither Can Your Users
When an AI output is hard to evaluate, that usually signals a product design defect. Engineer verifiability into the artifact before you scale eval metrics.
7 min read
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Governed Implementation
The Governance Outsourcing Problem: What OpenAI's Consulting Alliances Actually Mean
When consulting firms deploy your AI agents, they also define your governance. Enterprises need to decide who owns the rules.
8 min read
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Operating AI
Enterprise MCP Just Crossed the Engineering Line
Cloudflare documented MCP rollout across product, sales, marketing, finance with named governance controls. Here is what that means for buyers.
9 min read
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The AI Control Problem
Walmart's 3x Conversion Gap: What Happens When AI Checkout Meets Real Customers
ChatGPT checkout converts 66% worse than Walmart.com. The world's largest retailer just proved where trust actually lives.
5 min read
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Ready to know where you stand?
Start with an Assessment. Four weeks. Clear answers. No commitment to what comes next.
Schedule Your Assessment CallNo commitment required. Let's just talk.