Boston Sense
Is the intelligence layer actually working?
Independent senior technical judgment for systems that need to be reliable, maintainable, and economically sensible. We examine architecture, AI models, data, integrations, vendors, operational risks, and scalability. The AI question at this stage is evidence: does the system perform reliably, responsibly and economically?
See pricingWhat this covers
Intelligence
- Architecture assessment
- AI implementation review
- LLM evaluation
- Hallucination and failure analysis
- RAG quality
- Agent reliability
- Data readiness
- Prompt and model evaluation
- Evaluation design
- Benchmarks
- Observability
- Governance
- Safety
- Privacy
- Harmful-bias considerations
- Human oversight
- Failure paths
- Adversarial and red-team testing where appropriate
The people selling the implementation should not be the only people evaluating it.
How we examine it
A proportionate method
- 01LLM evaluation
- 02Hallucination and failure analysis
- 03RAG quality
- 04Agent reliability
- 05Data readiness
- 06Prompt and model evaluation
- 07Governance, safety, bias and privacy
- 08Observability
Typical deliverable
Findings on architecture, data, vendors and operational risk, prioritized by consequence.
Limitations
This is an independent assessment, not an accredited certification, legal opinion or penetration test.
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