Strategic AI oversight
Understand your AI landscape, manage risk at scale, and demonstrate governance to stakeholders.
Challenges You Face
No strategic view
AI adoption happens bottom-up. Leadership has no visibility into what's being used or how.
Board accountability
The board asks about AI governance. You don't have clear answers or metrics to share.
Risk exposure unknown
Every AI tool is a potential liability. Without visibility, you can't quantify or manage risk.
Competitive pressure
Competitors are using AI. You need to enable adoption while maintaining governance.
How Armadillo Helps
Common Workflows
Board reporting
- 1 Generate executive summary
- 2 Review key metrics
- 3 Add commentary
- 4 Present to board
Quarterly strategy review
- 1 Analyze AI adoption trends
- 2 Review risk posture
- 3 Assess spending vs. value
- 4 Set strategic priorities
Incident response
- 1 Alert on high-risk event
- 2 Assess scope and impact
- 3 Coordinate response
- 4 Document and learn
The leadership challenge
AI adoption in organizations follows a predictable pattern:
- Bottom-up adoption: Employees discover AI tools and start using them
- Viral spread: Successful experiments spread across teams
- Scale problems: Security, compliance, and cost issues emerge
- Crisis mode: Leadership scrambles to establish governance after problems occur
This pattern is expensive and risky. Armadillo helps you get ahead of it.
Strategic AI governance
Effective AI governance isn’t about blocking adoption. It’s about enabling AI use while managing risk. Armadillo gives leadership the tools to do both.
1. See the big picture
The executive dashboard shows your AI landscape at a glance:
- Tool count: How many AI tools are in use?
- Risk distribution: What’s the risk profile?
- Spending trends: How much are you investing in AI?
- Adoption velocity: How fast is AI use growing?
- Compliance status: Where are the gaps?
Drill down when you need detail. Stay high-level when you don’t.
2. Manage risk at scale
Not all AI risk is equal. Armadillo helps you focus:
- Quantified risk: Each tool has a risk score based on data handling, compliance, and security
- Trend tracking: See how risk changes over time
- Hotspot identification: Know which teams or tool categories need attention
- Scenario modeling: Understand the impact of policy changes before implementing
3. Enable smart adoption
Good governance enables AI use, not just restricts it:
- Fast-track low-risk tools: Automatic approval for safe tools
- Clear processes: Employees know how to get tools approved
- Visibility into value: Understand which AI investments pay off
- Best practices: Learn from successful internal use cases
4. Demonstrate governance
When stakeholders ask about AI governance:
- Board presentations: Executive summaries generated in minutes
- Audit readiness: Documentation that meets regulatory requirements
- Investor questions: Clear metrics on AI risk and governance
- Customer assurance: Evidence of responsible AI use
The competitive advantage
Organizations that get AI governance right have an advantage:
- Faster adoption: Clear processes enable quicker AI deployment
- Lower risk: Visibility prevents costly incidents
- Better compliance: Documentation is already in place when regulations arrive
- Smarter investment: Data drives AI spending decisions
Armadillo helps you capture this advantage.
"The board wanted to know our AI governance posture. Now I can show them a dashboard instead of making excuses."