TritonAI Roadmap

Ecosystem Expansion

Launched transcript OCR and student record matching, expanded instructional AI to 8 courses with scheduling assistant pilots, and opened the TritonAI site with API access and early N8N workflows.

• OnBase pathTranscript matching
• 8 coursesInstructional AI
• API accessCampus builders

• Transcript verification moved from an OCR and matching proof of concept toward an OnBase handoff for enrollment operations.
• Instructional AI added one-click assistant creation while scheduling and spring-course pilots continued.
• Contract review expanded as a supervised Procurement workflow with configurable, policy-backed redlining.
• The TritonAI site and Developer APIs opened governed model access for campus builders.
• Research proposal risk and research alignment proofs of concept tested focused research-support workflows.

Owner TritonAI solutions team and sponsoring unitsReviewed 2026-07-27

Process Automation

The builder path expanded, and TritonGPT moved into the campus mobile app. A Canvas-integrated instructional assistant shipped. The July update confirmed transcript matching and contract review in production; finance work remained in pilot. Research, BioBib, and observability pilots moved ahead as well.

• Campus mobileTritonGPT
• CanvasInstructional assistant
• ProductionTranscript and contract workflows

• Developer API access and N8N Agent Builder broadened the path from model access to supervised workflow orchestration.
• TritonGPT extended into the campus mobile experience and began surfacing live campus signals with stronger response traceability.
• A Canvas-integrated instructional assistant established a reusable delivery pattern for course support.
• The July program update confirmed transcript matching in production with an OnBase handoff for enrollment and contract review in a supervised Production workflow.
• BioBib formatting, risk-based proposal review, and AI IT observability expanded the bounded prototype portfolio.

Owner TritonAI solutions teamReviewed 2026-09-06

Multi-Institution Expansion

The platform is expanding beyond UC San Diego as a governed multi-tenant service shared across UC and partner institutions.

• LiveUC Berkeley, UC ANR, FDU, and UC Merced
• SharedPlatform and governance

• BearGPT is live at UC Berkeley as a partner deployment of the shared TritonAI gateway and governance model.
• ANR AI serves staff at UC Agriculture and Natural Resources. Partner service renewal work continues.
• FredGPT is live at Fairleigh Dickinson University as a research-oriented institution instance.
• UC Merced's SCOUT assistant is now broadly available to the campus, moving from production beta into full launch.
• Partner instances inherit the same hosting, model choice, trust, and observability controls as the UC San Diego deployment.
• Partner expansion reuses the existing platform and shared infrastructure.

Owner TritonAI platform teamReviewed 2026-09-18

Governed Builder Path

The TritonAI Harness now has a public access and installation path. The pilot is expanding through reusable skills, supported hosting, shared project knowledge, and governance for broader agent work.

• Access path liveTritonAI Harness
• Library liveSkills and connectors
• Proofs of conceptHosted apps

• The TritonAI Harness pilot now has a public Gateway request, billing, installer, and setup path. Broader adoption remains staged.
• Class Planner is in production. Current integration work prioritizes sign-in and saved plans; degree-audit guidance and registration integrations depend on additional campus APIs.
• Fall instructional AI signup is open for instructors to request a Canvas course tutor. Self-service course activation remains in development.
• Campus App Hosting continues with limited-scope proof-of-concept apps and a shared-responsibility path to support.
• The live UCSD Skills Library publishes reusable skills and is preparing a reviewed path for community contributions, MCP integrations, and data-source patterns. The Citizen Developer Guide now helps teams scope a first project and choose a supported delivery path.
• Shared project knowledge is defining named ownership, authoritative sources, approval boundaries, and freshness checks before agents can reuse it.
• Academic advising remains in a scoped prototype and build phase.
• Governance and observability work is documenting data, security, reliability, and operational requirements before broader access.

Owner TritonAI platform and solutions teamsReviewed 2026-09-06

Supported Rollout

Preparing more UC San Diego teams to use the TritonAI Harness and related builder tools through staged onboarding, training, peer support, and rollout measurement.

• Pilot groupsOnboarding
• Peer supportTraining and office hours
• Follow-upReadiness measurement

• Pilot groups are testing onboarding, installation, training, and support before broader outreach.
• AI use-case office hours are sharing staff-built agent workflows and lessons from supervised development.
• An early-adopter community will focus on the TritonAI Harness, skills, MCP integrations, and n8n workflows.
• Readiness and follow-up measures will track access, use, connected tools, and safeguards.
• The Skills Library contribution path will combine automated checks with human review before publication.

Owner TritonAI program, platform team, and learning partnersReviewed 2026-09-06

Governed agency at campus scale

Evaluating repeatable, supervised agent workflows that can use approved tools and connectors while retaining accountable human review.

• Agents would retrieve approved data and call approved tools only within bounded workflows.
• Shared context would move from private task context to reviewed team or service knowledge through explicit promotion.
• Human review would remain at consequential decisions and actions.
• Observability would capture the reliability, usage, and evidence needed to operate services responsibly.
• Before agents can change systems, each service would define allowed scope, required tests, audit logs, and recovery ownership.
• Approval points and rollback ownership would be assigned before a workflow can move beyond read-only or proposal-only access.
• Successful pilots would graduate through a named service owner, governance review, support model, and approved hosting path.

Owner TritonAI program and campus governance partnersReviewed 2026-08-22