Service
AI Readiness Assessment
We help organisations look past the hype to evaluate practical AI opportunities. Adopting tools like Large Language Models (LLMs) requires suitable data quality checks and strict privacy controls.
Preparing for Implementation
Deploying AI solutions over unstructured or sensitive data poses significant operational risks. DigestHarvzx conducts readiness assessments to ensure your infrastructure and policies are prepared.
Critical Evaluation Areas
- Defining Business Problems: Identifying specific operational bottlenecks rather than adopting technology for its own sake.
- Data Quality: AI models require clean, well-structured data to provide useful outputs.
- Access Permissions: Ensuring that internal search tools or RAG systems respect existing document permission boundaries.
- Privacy Considerations: Mapping the flow of personally identifiable information (PII) to prevent accidental exposure to external models.
Important Limitations
When planning pilot projects, DigestHarvzx advises clients to acknowledge realistic constraints:
- Hallucination Risks: Generative models can produce inaccurate information.
- Human Review: AI outputs must always be subject to human review and validation before being utilized in critical business decisions.
- No Instant Automation: Integrating these systems into existing workflows takes time and iterative refinement.
Our assessments do not replace formal security audits or legal reviews regarding UK GDPR compliance.