AI Estate Discovery & Inventory
- AI discovery
- Shadow AI
- AI inventory
- Ownership mapping
Enterprise AI governance · Costa Rica
Building the foundations forresponsible enterprise AI growth.
Helping organizations understand, govern and secure the AI systems spreading across their business — grounded in data engineering and analytics practice.
FocusAI governance · AI estate visibility · Responsible adoption
Grounded inNIST AI RMF · ISO/IEC 42001 · ISO/IEC 23894 · OWASP GenAI
Who we are
Latin augere · to grow.
Augerie is a technology consulting company working at the intersection of data, artificial intelligence and governance. Our growing focus is helping organizations adopt AI responsibly and keep visibility over the AI systems operating across their business.
That focus is supported by practical delivery capability in data engineering, analytics and software — the groundwork any credible AI governance effort depends on. Our AI governance methodology is in active research and development, and we say so plainly.
01
Focus
One clear direction: responsible, governed enterprise AI.
02
Curiosity
We research openly and build on recognized standards.
03
Honesty
We are clear about what is proven and what is still in development.
The problem we are researching
The enterprise AI estate is growing.
Organizations are adopting AI assistants, copilots, generative AI, AI agents, AI-enabled SaaS applications, internal AI applications, AI APIs, machine learning models and automated workflows — often faster than any single team can track them.
Where visibility is lost
- 01
What AI systems exist across the organization
- 02
Who owns them and who approved them
- 03
What data they can access
- 04
What systems and APIs they connect to
- 05
What decisions they influence
- 06
What risks they introduce
- 07
Whether appropriate governance controls are in place
This is the problem Augerie is researching and working toward solving.
Research direction
Researching the future of enterprise AI governance.
Augerie is developing a practical approach to help organizations understand and govern the growing ecosystem of AI technologies operating across their business. This work is in active research and development — it is not a validated commercial framework, and we do not present it as one.
Discover
Identify the AI systems, agents, copilots, models, applications and AI-enabled tools already in use.
- AI discovery
- Shadow AI
- AI inventory
- Ownership capture
Standards and practices we study
- NIST AI Risk Management Framework
- ISO/IEC 42001
- ISO/IEC 23894
- OWASP guidance for generative AI and LLM security
- Applicable AI regulation
- Emerging practices for AI agents
Our research builds on these recognized frameworks and industry practices. Augerie is not certified by, affiliated with, or endorsed by any of these organizations.
Services
Focused direction. Broad technical capability.
A clear strategic direction in enterprise AI governance, supported by the data and engineering capability required to implement it.
Strategic directionIn research and development
AI Risk & Governance Assessment
- AI risk assessment
- Governance maturity
- Control gaps
- Regulatory readiness
Responsible AI & AI Security
- Responsible AI
- AI security
- LLM & agent risk
- Data protection
AI Adoption Strategy
- Adoption roadmap
- Use-case triage
- Policy design
- Enablement
Enabling capabilitiesDelivered today
Data & Analytics
- Power BI
- Dashboards
- Reporting
- Decision support
Data Engineering
- Pipelines
- Modelling
- Integration
- Cloud data platforms
Business Intelligence
- Metrics design
- Self-service BI
- Analytics enablement
Data Governance
- Data quality
- Ownership
- Access control
- Documentation
Process Automation Diagnosis
- Process diagnosis
- Opportunity identification
- Workflow automation
- Use-case prioritization
Supporting technology deliveryImplementation enablers
Software, Automation & Cloud
- Custom applications
- API integration
- Workflow automation
- Cloud modernization
Data Resilience & Business Continuity
- Managed data protection
- Disaster recovery planning
- Recovery testing
- Continuity assessment
Training & Enablement
- Corporate training
- Power BI
- Data analytics
- AI literacy
How we work
From discovery to governed adoption
A disciplined engagement model designed for organizations where precision matters.
- 01
Discovery
We map your business context, systems, data and the AI already in use before proposing anything.
- 02
Assessment
We evaluate risk, ownership, data exposure and control gaps against recognized frameworks.
- 03
Design & delivery
Governance practices and technical work delivered in short, verifiable increments.
- 04
Assure & evolve
We transfer capability to your teams and keep visibility as the AI estate changes.
Where we apply it
Sector context for AI governance
Our research starts from a horizontal AI governance methodology, with sector-specific risk and governance profiles as an area of ongoing exploration.
- Financial Services
- Healthcare
- Government
- Manufacturing
- Professional Services
These are sectors we are researching and applying our work in — not claims of established vertical expertise.
Stack
Technologies we work with
Platforms and tools we use to deliver enterprise data and AI solutions. We are researching and evaluating enterprise AI and data ecosystems; we do not claim vendor partnerships or certifications.
Microsoft AzureMicrosoft FabricMicrosoft 365AWSGoogle CloudPower BISQL ServerDatabricksPythonMachine LearningLLM & AI APIsAI AgentsIdentity & AccessEncryptionBackup & RecoveryGitHub
Contact
Want visibility over your AI estate?
Let's talk about where your organization stands today. · Tell us about your organization and what you're looking for. We'll confirm a call at the time that suits you.
contact@augerie.comAugerie AI
Ask Augerie AI
A guided assistant for your questions about our services, capabilities and engagement model.
How can I help you? Ask about responsible AI adoption, AI governance, your AI estate, data and analytics, or how we work.
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