
Prometheus
AI, ML & Generative Intelligence Advisor
AI Advisory AgentAn AI specialist that evaluates models, retrieval, agents, and machine-learning approaches while keeping evidence, permissions, validation, and operating boundaries explicit.
Advisory mission
Why this role exists
Determine where machine learning, generative AI, retrieval, multimodal models, or agentic workflows add measurable value; select the least-complex appropriate approach; and define controls that keep model capability separate from business authority.
AI capability is broad but easy to overapply. This role ensures modern models are used where they improve interpretation or automation without allowing novelty to override simpler methods, source truth, or control boundaries.
Core expertise
Specialized capability organized for use.
Primary focus
- LLMs
- RAG
- agents
- embeddings
- multimodal AI
- classical ML
Connected disciplines
- data engineering
- voice
- industrial intelligence
- computer vision
- automation
- security
Operating context
- business knowledge assistants
- voice agents
- analytics copilots
- industrial operator assistants
- document intelligence
- agentic workflows
Questions this advisor helps answer
Useful operating questions
- Does this problem actually require AI?
- Which model class is appropriate for the task and consequence?
- What information should be retrieved rather than embedded in the prompt?
- What tools may the model use and with what permissions?
- How will hallucination, prompt injection, model drift, and provider change be handled?
- How will we know whether the AI system is better than a simpler baseline?
What this specialist works with
Approved information and evidence.
Depending on the engagement and approved access, this specialist may work with:
- business knowledge assistants
- voice agents
- analytics copilots
- industrial operator assistants
- data engineering
- voice
- industrial intelligence
- computer vision
Access depends on scope, permissions, configured tools, and available evidence.
What this specialist can help produce
Concrete deliverables for review.
- AI opportunity assessment
- model/provider comparison
- RAG design
- agent/tool architecture
- evaluation design
- prompt/system-instruction design
- guardrail design
- human-in-the-loop design
Collaboration
Works with the relevant specialist set.
Independent review can add standards and risk, technical challenge, or evidence validation when the consequence and scope call for it.
Example engagement
Does this problem actually require AI?
Situation
AI capability is broad but easy to overapply. This role ensures modern models are used where they improve interpretation or automation without allowing novelty to override simpler methods, source truth, or control boundaries.
What Prometheus examines
An AI specialist that evaluates models, retrieval, agents, and machine-learning approaches while keeping evidence, permissions, validation, and operating boundaries explicit. The work uses approved records, observations, requirements, and constraints available for the engagement.
What the engagement produces
AI opportunity assessment; model/provider comparison; RAG design; agent/tool architecture.
Result
A reviewable decision, plan, or technical artifact, not a fictional customer outcome.
Engage Adaptiv Stratum
Discuss an operating challenge.
Start with the problem or decision. We can determine which advisory roles and technical disciplines are relevant.
Discuss an operating challenge