01
Start with real work
Begin with users, the current process, recurring problems, and constraints—not a tool or model.
ABOUT MUSU
We turn company experience and workflows into AI work systems people can accept and maintain.
MUSU begins with one recurring work problem. We clarify the data, permissions, human responsibility, failure conditions, and acceptance method before deciding how technology should enter the work.
WORKING PRINCIPLES
Clarify the work before choosing the AI.
Three principles keep the discussion tied to work people genuinely need to complete.
02
Define responsibility and acceptance
Agree on inputs, owners, exceptions, delivery scope, and what usable means before implementation.
03
Keep evidence and maintenance ownership
Record the verified scope, known limits, repair path, change history, and the person who maintains it.
ACCOUNTABILITY IN PRACTICE
Technology can assist the work; responsibility stays with people.
MUSU is responsible for making the agreed scope, workflow, system behavior, tests, and known limits clear. The business remains responsible for data rights, professional content, risk decisions, external commitments, and final acceptance.
RESPONSIBILITY BOUNDARY
Both sides need named ownership.
This general division is a starting point for scope discussions, not proof that any particular project has been deployed or accepted.
- MUSU can own
- Discovery, scope definition, workflow and integration design, implementation, testing plans, delivery records, and maintenance planning.
- The business still owns
- Data authorization, content accuracy, permissions, professional judgment, exception handling, final commitments, acceptance, and internal adoption.
- Shared decisions
- Priorities, acceptable risk, test situations, unresolved items, change handling, and the point at which work should pause or continue.
- Not transferred to AI
- Legal or professional responsibility, relationship judgment, publishing authority, financial commitments, and the final decision to accept a result.
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