Human Purpose
Who decides what we are trying to achieve?
People define the goals, priorities, and outcomes the work should serve.
The five human control principles
Human checks and balances give AI room to fly with clear direction.
After assessing the AI maximum, we layer on five human control principles. They identify where people must remain involved, even when AI can perform the task, so ambition and accountability advance together.
Who decides what we are trying to achieve?
People define the goals, priorities, and outcomes the work should serve.
Who has the final say?
People retain decision rights and the ability to challenge or override AI.
Who controls what gets allocated?
People control the resources and commitments that make execution possible.
Who answers for the outcome?
Identified humans remain responsible for decisions, oversight, and consequences.
Can we change or stop how it operates?
People retain the practical ability to intervene, change course, or stop the system.
Keep the AI maximum in view. Preserve the human involvement required for control. Put the resulting capacity to work.
CrestBird’s approach is informed by research on preserving human agency in AI systems, including work by Catalin Mitelut, Benjamin Smith, and Peter Vamplew published at ICML 2024. CrestBird applies this perspective to workforce planning, human control, and margin optimization.
Control in practice
Each skill chain ends at a named person’s review. When a skill flags an issue, the handoff stops until the reviewer clears it.
A named person approves and releases client-facing work. Your team keeps decisions about people, clients, pricing, and tools.
Your designated owner can pause or turn off any skill chain. These controls are confirmed during testing.
You own and run the skills built in your environment. CrestBird provides instructions and supports the first live run.