Partner with The Institute for AI Translation.
Help complex organizations decide where to start. Help raise a local team that can deliver it.
The pathway
You walk in with a list. You walk out with a plan, then with your own team.
This is not another pilot. A stage is done when the local team can do the work, not when the calendar says so.
For a ministry of health, the same sequence is mapped as seventy-five use cases, which to start with, and which themes they belong to. Open the ministry of health pathway.
- Decide is done when one first action is named, or the honest answer is not yet.
- Build is done when local people are running the service.
- Transfer is done when they can form the next group without a visiting team.
01 · Decide
The Blueprint
You walk in with. A list of ideas, or many AI pilots, and no shared answer on where to begin.
You walk out with. An action plan. Priorities that fit the people who will do the work, the constraints of the organization, and the technology already in place.
The Blueprint looks at three dimensions together, people, organization, and technology. Use cases are ranked. One first action is named. Nothing larger is funded until that alignment is real. The Blueprint is equally valuable if its conclusion is not yet.
02 · Build
The Practice
You walk in with. A plan of prioritized use cases, and a first cohort of people trained to start that work.
You walk out with. A local workforce that can carry the plan, and an organization beginning to hold the work, on the technology already in place.
Teams are trained locally on the first action the Blueprint named, then on the next. Each cycle is short enough to learn from, and large enough to be real. A cohort takes shape: a locally operated team that delivers services and develops people.
03 · Transfer
The Launch
You walk in with. An organization ready for the cohort to stand on its own.
You walk out with. An independent cohort, a member of the global cooperative. It fits shared methods to local delivery, and returns what it learns.
Transfer is done when the cohort can stand on its own: local people run it, deliver services, and form the next group without a visiting team. Shared tools can remain. We do not take equity.
Three years
How a geography actually transforms.
Three years is typical. A geography moves in stages. Each stage is complete when the knowledge, insights, attitudes, qualities, skills, and abilities it exists to build have appeared, those are what make a more complex application of AI possible.
Year 1
The launch
The Blueprint names the first action, the use cases that matter here. A hackathon brings people around that action. Talent is identified in the work. Cohorts form. Some become teams, then companies, solving the problems you named.
Year 2
Building a local cohort
Local people take more of the work. Mentors and preceptors are trained. Fellows deepen. The cohort starts to run services. Hackathons and training continue so the next group can enter.
Year 3
A cohort in the collective
The cohort runs itself. It trains the next group, records what it learns, and can help other cohorts. Local funds pay for it. The visiting team can leave.
How a person enters
Organizations start here. People start in the work, or at the cooperative.
The Institute does not enroll individuals. You are not selected on a form. You enter by doing a real job in a real place.
You work in the health ecosystem or the community
You enter by. A Blueprint team, a hackathon, or a first training
First work. A real job in your place, not a course
Who helps. A fellow or preceptor on site
You want to build a company
You enter by. The cooperative
First work. A small service the cohort needs. You keep the company.
Who helps. Shared tools and training. No equity taken.
You work for the ministry of health or system that invited this work
You enter by. Your organization’s Blueprint
First work. You are named on the first action
Who helps. The visiting team, then your own cohort
You are ready to be a fellow
You enter by. You are asked from the work. There is no open application to the Institute.
First work. You run cycles, teach others, and ship.
Who helps. Training, plus courses with academic partners
You teach or research
You enter by. An academic partner
First work. Write down what the field is learning. Teach the next group.
Who helps. The Institute’s evidence program
How a person grows
Fellow. Practitioner. Preceptor. Then Faculty or Scholar.
Once you are in the work, this is the ladder. A stage is done when the knowledge, insights, attitudes, qualities, skills, and abilities are there, not when hours are logged. University partners teach the modules the work requires.
01
Fellow
A fellow who is committing time to continue to build capacity is identified. They get access to training as well as experience to build their own skills, abilities, and capabilities, and begin to gain leadership experience in facilitating groups.
02
Practitioner
They have gone beyond fellows in building and translating the discipline into an experience that can be shared. They are contributing to capturing the insights and to the knowledge being generated locally. They are leading events and meaningful discussions, and are highly engaged in the community as well as with stakeholders.
03
Preceptor
A practitioner who is gaining enough experience to feel comfortable accompanying fellows through a cycle completely. They have the skills and abilities around mentorship and accompaniment, as well as a breadth of experience understanding the practical applications of AI Translation.
04
Faculty or Scholar
An individual who is documenting, capturing, publishing, and collaborating with other academic organizations, the insights and learnings occurring within the field, and advancing the standards and qualities of AI Translation locally. They convene cohorts, lead seminars, and participate in training.
Definitions live under Evidence & sources.
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