Knowledge Capture
捕获引擎
How RolegacyAI captures role knowledge from documents, meetings, workflows, and structured inputs — and turns it into structured institutional memory.
阅读文章 →洞察
RolegacyAI 洞察
关于岗位记忆、接任准备度、运营连续性、工作流智能，以及保留推动工作持续运转的知识的实用文章。
Architecture
分类引擎
How RolegacyAI classifies captured role knowledge into a structured taxonomy — decisions, lessons, workarounds, processes, relationships, and more.
阅读文章 →Security
脱敏引擎
How RolegacyAI separates institutional knowledge from personal information, removes sensitive content, and ensures role memory is safe to store and share.
阅读文章 →Architecture
个人与岗位边界层
The technical and conceptual boundary between a role holder's personal knowledge and the institutional knowledge that belongs to the role — and how RolegacyAI manages it.
阅读文章 →Architecture
RAG 检索增强引擎
How RolegacyAI uses Retrieval Augmented Generation to surface relevant role memories in context — powering the successor brief, AI assistant, and onboarding tools.
阅读文章 →Scoring
置信度评分
How RolegacyAI scores confidence in each memory entry based on source reliability, corroboration, recency, and human validation — and how that score drives review and retrieval.
阅读文章 →Scoring
覆盖度评分
How RolegacyAI measures how completely a role's knowledge domains are documented — and uses gap identification to improve successor readiness.
阅读文章 →Successor Readiness
接任简报生成器
How RolegacyAI generates the structured handoff document that a successor inherits when they take over a role — and what makes it different from a generic AI summary.
阅读文章 →Scoring
岗位风险评分
How RolegacyAI calculates the knowledge continuity risk for any role — and how organisations use it to prioritise where to invest in memory capture before it's too late.
阅读文章 →AI Uplift
AI 增效衡量
How RolegacyAI measures the efficiency and capability improvements that AI tools create at the role level — making the invisible visible and preserving the improvement for successors.
阅读文章 →Security
多租户安全
How RolegacyAI isolates role memory between organisations, enforces access controls, and maintains the security posture required for enterprise institutional knowledge.
阅读文章 →Architecture
人工验证闭环
How RolegacyAI involves role holders and subject-matter experts in validating, correcting, and approving AI-extracted memories — keeping the institutional record trustworthy.
阅读文章 →Architecture
知识图谱
How RolegacyAI connects role memories through a structured knowledge graph — enabling relationship traversal, pattern discovery, and richer context for successor briefing.
阅读文章 →Workflow Intelligence
智能体工作流
How autonomous agents can use RolegacyAI role memory to complete onboarding tasks, answer successor questions, coordinate transitions, and fill knowledge gaps.
阅读文章 →Architecture
去重引擎
How RolegacyAI detects, merges, and reconciles duplicate or near-duplicate role memory entries to keep the institutional memory clean, coherent, and trustworthy.
阅读文章 →Integrations
API 集成
How RolegacyAI connects to the enterprise tools where role knowledge lives — enabling capture, trigger-based workflows, and role memory consumption across the stack.
阅读文章 →Architecture
向量嵌入
How RolegacyAI encodes role memories as vector embeddings to enable semantic search, similarity detection, and context-aware retrieval across the institutional memory store.
阅读文章 →Knowledge Capture
记忆时间线
How RolegacyAI organises role memories chronologically — providing a navigable history of decisions, transitions, and institutional learning across every holder of a role.
阅读文章 →Successor Readiness
接任准备度评分
The composite score that measures how ready a role is for transition — combining coverage, confidence, brief completeness, and knowledge transfer progress into a single operational metric.
阅读文章 →AI Uplift
提示词工程
How RolegacyAI approaches prompt engineering for role memory tasks — from capture and classification to successor brief generation — and how prompt libraries are captured and transferred.
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