A source-grounded AI knowledge workflow for teams that want useful answers from SOPs, policies, project docs, FAQs, training material, or internal knowledge bases.

This is not a generic chatbot. The focus is on source structure, retrieval behavior, answer boundaries, review controls, and a practical workflow that helps people find and use trusted internal knowledge.

Deliverables can include:

source inventory and readiness review

retrieval-ready knowledge structure

assistant behavior rules

citation or source-reference logic

risky-answer review controls

first bounded assistant workflow slice

test checklist and handoff notes

Sensitive content can be sanitized for scoping. Production setup, complex permission models, large-scale ingestion, and ongoing maintenance are scoped separately. Requirements: 1. Share the knowledge sources you want the assistant to use, such as SOPs, policies, FAQs, training docs, project notes, proposals, or internal documentation. 2. Share the target users, common question types, desired answer style, and any accuracy, citation, or approval requirements. 3. Mention access limits, sensitive-data rules, documents to exclude, and whether this is for design only or a first workflow slice.