Describe how your organisation should use AI and Taskade Genesis builds the app: an approval queue, a run log, and a policy an agent checks against.
30 prompts available • Page 2
Reassess approved AI use cases on a risk-based cycle, comparing actual usage against what was originally approved.
Define fairness tests in advance, compare outcomes across groups, and record findings, actions, and accepted differences.
Register every customer-facing AI use with agreed disclosure wording, where it appears, and gaps in disclosure decisions.
Record the benefit claimed at approval, agree the measure in advance, and report actual against claimed honestly.
Map each requirement to actual evidence, surface gaps and weak evidence early, and track findings to closure.
Hold approved prompts with owners, version history, review before wide sharing, and duplicate or risk detection.
Track access, correction, and deletion requests against statutory deadlines, including data held in AI tools and logs.
Maintain approved models with permitted uses, data restrictions, hosting location, and review triggers on vendor changes.
Give each division a governance owner and its own view within one shared process, with adoption compared across the group.
Build a governance business case from your own cost, incident, and benefit records, framed around enabling safe adoption.
Run a review committee with agendas built from the queue, advance papers, recorded decisions and dissent, and chased actions.
Take AI tools from request to live through one defined sequence with owners, an expedited path, and skipped-step alerts.
Set retention periods per record type, apply them automatically, respect legal holds, and log every deletion.
Summarise the few AI risks that matter with direction of travel and the specific decision leadership is being asked for.
Run governance as a staged rollout with a deliverable first phase, parked later phases, and adoption-based progress.
