AI that predicts governance risks before council votes
ANU has suffered $100 million in reputational damage from a string of governance failures.
SageCouncil uses RAG and fine-tuned models trained on anonymized Australian university governance cases to analyze meeting papers and proposed decisions in real time. It returns risk scores, precedent matches, and mitigation recommendations so senior administrators can prevent failures instead of reacting to them.
Vice-chancellors, university council members, and senior administrators at prestigious Australian universities
Only platform with a vector database of Australian higher-ed governance failures and outcomes, delivering contextually relevant advice no international generic AI tool can match.
supportive
AI scores every agenda item for governance and reputational risk
Surface similar past cases from Australian universities
Upload papers and receive instant feedback before circulation
Specific, actionable steps to reduce identified risks
University-wide view of upcoming decision risk profile
Encrypted ingestion pipeline with automatic redaction options
Auto-generated one-pager highlighting AI findings
Curated, searchable library of governance lessons
Receive risk alerts directly in governance channels
Allow universities to contribute anonymized data to improve model
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| university_id | uuid | No |
| title | text | No |
| embedding | vector | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| document_id | uuid | No |
| risk_score | int | No |
| findings | text | No |
| precedents | text | Yes |
| created_at | timestamp | No |
Relationships:
/api/analyzeUpload document and return AI risk analysis
/api/precedents/searchSemantic search of historical governance cases
10 analyses/mo
Unlimited
Custom
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 18 | 22% | $1,050 | $12,600 |
| Month 6 | 95 | 38% | $6,200 | $74,400 |
AI trained on Australian university cases predicts risks before you vote. Used by vice-chancellors who refuse to repeat ANU's mistakes.
Target early-adopter VCs at universities that recently had minor governance issues via LinkedIn outreach and offer free AI audits of their last three council meetings. Secure pilot agreements with written commitment to become case studies.
Strong analytics
No AI precedent matching for Australian higher education
Specialized RAG dataset of local governance failures
Continuous improvement loop where each university's anonymized decisions further trains the shared Australian governance model.
Explosion of accessible LLM technology combined with heightened governance scrutiny post-ANU scandal creates perfect timing for an AI-native governance co-pilot.
LLM hallucination on governance advice
Strict RAG-only architecture with human-in-the-loop validation and clear disclaimers
Success: 85%+ relevance score from expert reviewers
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