Team & Service Ownership

TritonAI runs as a shared campus capability, which only works if everyone knows who owns which decision. This table connects the central platform to the people who approve and operate each service.

Responsibility model

Role	Primary responsibility	Typical decisions
Program leadership	Strategy, portfolio, campus alignment, and outcomes	Priorities, partnerships, public commitments
Platform team	Model gateway, shared services, developer experience, reliability, and observability	Platform standards, supported integrations, operations
Solutions team	Discovery, workflow design, prototypes, evaluation, and delivery patterns	Fit, pilot design, human oversight, readiness
Campus service owner	Business process, approved data, subject-matter review, support, and adoption	Requirements, acceptance, escalation, ongoing ownership
Knowledge and source owners	Maintain quality and provenance for shared context. Set its freshness, correction, and access boundaries.	What can be promoted, updated, reconciled, or retired
Governance partners	Privacy, security, and accessibility guidance; records, policy, and risk review	Required controls and review

Campus participation

TritonAI Champions gives practitioners a place to share tested examples, learn from peers, and surface recurring needs.

Where to start

Have a campus use case in mind? Start at Get Involved. Building something? Start with the Get Started guide. If you are about to launch an application other people will depend on, read the service ownership rows above first.

This page covers service responsibilities only. It leaves out individual employment arrangements, staffing allocations, and internal capacity plans.