Independent Semantic Audits
AI ScanLab operates as an independent analytical entity.
We do not intervene in production systems, modify content, train models, or deploy software.
Our role is to observe, measure, and evaluate how meaning behaves once it enters AI-mediated environments.
Our Engagement Process
1. Initial discovery
We begin with a short discovery phase to understand:
- The systems involved (models, agents, platforms)
- The operational context
- The type of risk exposure
- The audit modality required
This phase determines scope, timeline, and level of depth.
2. Audit design
Based on the discovery, we configure the audit framework:
- Definition of semantic inputs to be evaluated
- Selection of AI systems or agent chains
- Determination of temporal or comparative dimensions
- Risk thresholds and stability indicators
No access to proprietary algorithms or internal code is required.
3. Controlled interaction
Audits are conducted through controlled interaction with AI systems, simulating real-world usage without interfering with live operations.
This may include:
- Query-based interaction
- Scenario-based prompts
- Agent chain traversal
- Longitudinal sampling
All interactions are non-invasive and reversible.
4. Analysis and modeling
We analyze interpretive behavior across:
- Models
- Agents
- Time
- Contexts
The focus is on identifying:
- Drift patterns
- Stability loss
- Interpretive divergence
- Early signals of semantic collapse
5. Reporting and review
Findings are delivered through structured reports that include:
- Analytical results
- Risk indicators
- Predictive insights
- Interpretive stability assessment
Reports are designed for technical, legal, and executive audiences.
Timeline and client involvement
Typical audit duration: 7-14 days (varies by modality)
Client time required: Minimal
- Requirements gathering: Documentation submission via email
- Results review: Written report delivery with optional follow-up call
Audit execution requires no client involvement.
All scoping, requirements, and delivery can be managed asynchronously via email to preserve analytical independence and avoid introducing bias through ongoing dialogue.
What we do not do
- We do not provide optimization or remediation services
- We do not implement fixes or content changes
- We do not embed tools or monitoring scripts
AI ScanLab maintains analytical independence at all times.
