Student
Back to discover courses
Learning on Telari
Created by Telari Labs, delivered through Telari
The course creator controls the material and assessment standards. Telari provides structured lessons, practice, feedback against those standards and a record of your progress. See how Telari works.
Enrolment
This course is currently free to enrol in.
AI access
The first managed lesson is included on Free. Continue with Plus or your own supported API key; premium assessments and certificates may require Plus.
Audio
No reviewed lesson audio is currently advertised for this course.
Lesson list
- Decision rights and accountabilityA shared AI service needs explicit authority for each decision, supported by competence, relevant evidence and meaningful challenge. Worked contrasts show how to close responsibility gaps while permitting proportionate delegation and justified continuation.
- Inventory and proportionate governanceAn AI inventory should reveal actual data flows, action boundaries, business dependencies and accountable ownership. Specific evidence and supplied policy support targeted restrictions, appropriate escalation or continued bounded use without treating uncertainty as misconduct.
- Central and local responsibilityWork should remain local when it fits an explicit delegation and the team can meet its conditions. Shared rules, specialist decisions and bounded exceptions preserve consequential limits while allowing compliant activity to continue.
- Shared capabilities and investmentA shared capability is justified when usable demand, permitted boundaries, ownership and support produce net value. Teams can share access and evaluation support while retaining separate sources, interfaces and domain acceptance decisions.
- Adoption, skills and review capacityFeasible oversight combines protected capacity, task-specific skills, source evidence and compatible incentives. Worked fictional cases show how bounded scope or authorised resources can support review, and how observations of case handling and real workflow use can establish whether adoption is working.
- Portfolio and benefit ownershipCompare initiatives through relevant outcomes, credible baselines, total effort and evidence uncertainty. Assign benefit verification to an informed owner and connect checkpoints to explicit authority over scarce capacity.
- Review triggers and pilot expiryChanged users, data, actions and dependencies can invalidate pilot assumptions. Immediate continuation, restriction, pause or extension follows the supplied authority and expiry rules, while current evidence and accountable ownership support renewal or retirement.
- Designing a workable governance arrangementA workable multi-team arrangement connects shared controls and local ownership with explicit authority, funded review and evidence of benefit. Changed facts can narrow or extend one decision while preserving justified uses, including continuation when the evidence remains sound.
- Enterprise governance decision exerciseEight required reasoning groups assess enterprise governance decisions through new self-contained cases; one of three variants is served in every group.