About H2H
Founder & Principal Architect
H2H brings workflow design, engineering, and governance together because a useful AI system needs all three. We work from the decisions people need to make, the systems they use, and the responsibilities they carry.
Founder manifesto
We started H2H to make complex work easier to understand and control.
Our aim is to reduce friction and noise while giving organizations more ownership of the systems they depend on.
We judge the work by what people can use, what they can measure, and what they can explain.
We believe security should mean quieter, more dependable systems: clear policies, evidence people can review, and named owners for the decisions that matter.
This is H2H Technology.
Cortez Lake
Background
Cybersecurity and AI practitioner focused on turning messy, high-stakes workflows into software teams can trust in production.
Help organizations choose worthwhile AI opportunities, build the systems to support them, and define how people retain control of data and consequential actions.
Organizations using AI with clear responsibilities, practical safeguards, and evidence to guide what they do next.
Core beliefs
When customer-owned deployment fits the requirements, we design for control over infrastructure, data, and access. Ownership includes the responsibility to operate and maintain the system.
Define what the system may do, which decisions need human approval, and how exceptions are handled. Test those rules against the work people actually perform.
Review system behavior and control evidence as the workflow changes. Recurring checks support security and compliance review; they do not replace it.
Plan for failures, recovery, and change from the start. Secure defaults, tested recovery steps, and controlled releases are part of the engineering work.
Agree on a baseline and measures before implementation. Use observed results and stated limitations to decide whether to expand, revise, or stop.
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