MEDICALCITY · The AI Factory for Healthcare
Healthcare is our starting point. Health, food, housing and mobility guide the tasks to explore with teams. Workflows connect professionals, AI agents and business tools to prepare documents for review. Digital infrastructure organises these steps; physical execution belongs to separate robotics pilots under an operator’s authority.
For healthcare teams
Care staff · Medical secretaries · Administrative teams · Healthcare facilities · Physicians
These examples describe drafts for review. Uses related to food, housing and mobility remain to be defined and developed. Features, usable data and connections must be confirmed before setup; missing or uncertain information requires clarification.
A file or summary for review
A meal-request summary
Documents for a residential admission request
A checklist of travel-related documents
Choose the need and the task to prepare. Specify the goal, authorised sources and their versions, the expected result and the person responsible for approval.
Administration gathers documents, drafting structures the text and coordination proposes follow-up. Sources and missing information accompany the materials to check.
Compare proposals with the sources. Complete missing information and correct errors; if a point remains uncertain, pause the task for clarification.
The authorised professional approves use or transmission within the agreed scope. Agents can prepare follow-up; the responsible person checks the facts.
A draft is not permission to send information or execute a physical task. Medical decisions and signatures remain with authorised professionals. The robotic workflow below requires a separate operator authorisation.
From digital work to physical execution
AI Factory workflows organise digital preparation, approvals and follow-up. For a robotics pilot, an additional step assigns authorisation and supervision of the physical task to an operator. Information passes between the two infrastructures within the agreed scope.
Connect specialised agents to AI models, reference knowledge, memory and business software. Workflows organise document preparation, administrative processes and follow-up, with access and approvals defined for each project.
Research direction: “Multi-Agent AGI”, towards artificial general intelligence. A development ambition; the systems presented rely on specialised agents.
Prepare robot connections, operator supervision and execution feedback. Each pilot must confirm hardware capabilities, permitted tasks, site conditions and ways to stop or take over the work.
Robotics: pilots in preparation. Drones: a longer-term development prospect. Scope, timing and service conditions remain to be confirmed for each project.
Proposed pilot scenario, to be validated in a trial: a team requests that small supplies be moved to a defined receiving point. This is a material-handling task, without a care procedure or physical contact with a person.
Using the team’s request, they propose a task sheet specifying the items, route, recipient and missing information.
The operator checks the information, equipment, route, execution conditions and stopping arrangements before deciding whether to start.
Within the pilot, the robot receives only the authorised task. The operator supervises and takes over when necessary.
The recipient checks receipt. Agents can prepare a report; the designated person checks the facts and approves follow-up.
An AI draft never triggers a physical action. If information is missing or a condition is not met, the task waits for clarification and a human decision.
Choose preparation related to health, food, housing or mobility. The AI Factory works with you to define sources, the expected draft, tools and approvals to test. Any proposed robotics pilot retains its own scope and separate trial.
