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.
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
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.
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.
Controls from day one, not an afterthought. We design for compliance, data protection, and explainability before we write a single line of code.
Not until the contract ends. Not until the hours run out. Until it works. This is contractual, not marketing.
Three offers. One progression. Start with knowing where you stand.
We work with companies in industries where AI cannot fail.
Providers, payers, healthtech
Banks, funds, fintech
Law firms, legal tech
Carriers, brokers, insurtech
Series B+ with data to protect
Published analyses on AI governance, implementation failure, and what the data actually shows.
Tech debt is tracked and budgeted. Design debt is not. In AI products, that silence is dangerous because design shapes belief, not just behavior.
Effort was the control that kept code review tractable. Flathub's 15-minute submission tax shows how to reinstate an effort floor at the gate.
Anthropic's long-running app harness reveals generator-evaluator loops, sprint contracts, and context decay. The data is thin. The patterns are real.
Disney erased FiveThirtyEight. Nate Silver estimates 200,000 hours destroyed and $5M/year in revenue rejected. Read it as your corpus-retention policy.
If memory is the moat and memory lives in the harness, a vendor-owned harness is a vendor-owned moat. The exit question most teams can't answer.
Cheap tokens are not cheap labor. Manage agents as headcount with evals as OKRs, cap spend per engineer, and compile undefined loops out.
Start with an Assessment. Four weeks. Clear answers. No commitment to what comes next.
Schedule Your Assessment CallNo commitment required. Let's just talk.