Productized service
AI Workflow Review
A fixed-scope technical review for teams building RAG systems, AI agents, enterprise knowledge bases, or LLM API workflows. You get a concise report with risks, cost issues, and the next implementation steps.
Deliverables
What the review includes
Risk map
Identify privacy, retrieval, hallucination, agent approval, and tool-use reliability risks.
Cost review
Review model routing, caching, batching, API usage, and where local models might later fit.
Fix roadmap
Prioritized 30/60/90 day actions with the smallest changes that reduce risk or cost first.
Implementation notes
Concrete next steps for prompts, evaluations, retrieval settings, observability, and approvals.
Scope
Best fit
This review is for teams with an existing prototype, internal workflow, or implementation plan. It is intentionally small so the first purchase can validate service revenue before larger build work.
- RAG knowledge-base quality or privacy review
- AI agent approval and tool reliability review
- LLM API cost and model-routing review
- AI search, support automation, or internal workflow review
Starting offer
Fixed starting point
The initial review starts at 300 USD. It includes one intake questionnaire, one async review pass, and one written report. Larger implementation work is scoped separately after the review.
Input
Architecture notes, screenshots, prompts, API usage exports, sample logs, or public docs.
Output
A concise report with risk scores, cost observations, and prioritized recommendations.
Timeline
Typical turnaround is 3-5 business days after the intake materials are complete.