AI inventory and governed lifecycle
Build a complete, reviewable record of every model, agent, dataset, codebase, and use case—without replacing the systems your teams already trust.
Acacian connects the evidence, ownership, versions, approvals, and business context behind each asset into one governed register.
Explore the inventory- Owner
- Customer Operations
- Version
- v2.4 · Production
- Evidence
- 14 linked records
Risk & Impact Assessment
GovernedConduct Privacy Impact Assessments (DPIA/PIA) tailored to Australian law and regulatory expectations. A deterministic rules engine surfaces risks such as prompt injection and bias before production, with every asset scored on a 5 × 5 likelihood-versus-impact matrix.
Disclosures & Incident Response
Response-ready- Generate APP 1.7/1.8 privacy policy disclosures using secure, template-based assembly (no generative LLMs).
- Manage data breaches and AI model failures with a guided triage workflow.
- Track NDB tasks against a configurable 72-hour operational response target.
- TICK Triage Initiated
- TICK OAIC Notification Drafted
- PENDING Legal Counsel Sign-off
Make your enterprise data AI-ready.
Operational confidence starts before a model runs. Align every dataset to its use case, qualify it continuously, and keep its governance evidence intact.
Use-case alignment
Connect each dataset to the AI technique it supports, with enough context to make volume, semantics, and lineage defensible.
- Scope
- Technique-specific requirements
- Evidence
- Annotation, lineage, and diversity
Continuous qualification
Test data health against operational thresholds as it changes, so model teams can see drift before it becomes an incident.
- Scope
- Regression, versioning, and drift
- Evidence
- SLAs, health metrics, and test history
Contextual governance
Carry stewardship through the full lifecycle, with policy controls that make regulatory, ethical, and inference decisions reviewable.
- Scope
- Compliance, ethics, and access
- Evidence
- Policies, owners, and review history
Keep every AI decision reviewable.
Acacian gives privacy, risk, and engineering teams one shared record—with the controls and evidence each team needs to act.
Make data use visible.
- ✓ Map which AI assets touch personal data, where they run, and who owns the decision.
- ✓ Capture purpose, retention, and review status in one record.
- ✓ Export evidence for APP 1.7 reviews and OAIC requests.
- Data owner Customer Operations
- Retention 7 years · documented
- Next review Due in 28 days
Turn risk into accountable decisions.
- ✓ See the current risk posture across models, agents, datasets, and use cases.
- ✓ Enforce separation of duties so decisions stay independent.
- ✓ Give leadership a board-ready evidence pack—not another status meeting.
Ship with provenance attached.
- ✓ Register models early through a low-friction UI or CLI intake.
- ✓ Keep versions, lineage, and technical evidence attached to the asset.
- ✓ Route third-party SaaS reviews without slowing delivery.
Be Ready for the Deadline.
Join the teams in financial services, healthcare, and telecommunications bringing real visibility to their AI.