Buying someone's full day buys their presence, not their outcome. It works when the work is predictable and the seat matters. AI implementation isn't like that: judgment and what you ship matter, not the hours you're logged in. So Implementa reserves capacity instead of buying full days.
The best already have work
The operator who has actually shipped AI systems to production isn't out looking for a 40-hour job. They have clients, projects and autonomy, and they won't trade them for a payroll that asks them to clock in. If your model only takes people available full-time, you're closing the door on exactly the ones you want.
Reserve capacity, don’t buy hours
An Implementer reserves capacity for Implementa and arranges it however they want: no imposed schedule, no clocking in. What we ask for is focus and reliability on the work that matters, not presence. Sounds like a contract detail, but it changes who agrees to work with you — and the quality of what they ship.
What changes for the client
The client doesn't notice "half days": they notice that whoever touches their system is senior, ships, and is there because they want to be, not because it's their shift. Continuity is held by Customer Success and the pod; the capacity comes from people who chose this model precisely because it isn't a traditional job. Capacity well placed pays off more than a full day poorly used.