Glossary of enterprise AI and knowledge management

The organisational discipline of capturing, structuring, sharing, and applying knowledge across a business so people and systems make faster, better decisions.

In an AI-native operating model, EKM is the layer that turns tacit expertise, documents, and process signals into machine-readable assets that AI systems and staff can retrieve, cite, and act on.

A company whose core workflows, data, and decision loops are designed for AI participation from the ground up rather than bolted on.

The AIKm four-layer reference model (Foundation, Knowledge, Intelligence, Experience) is one operational definition of an AI-native organisation for Hong Kong SMEs and enterprises.

A pattern where a large language model answers a question by first retrieving relevant passages from an approved knowledge base, then generating a grounded reply.

RAG is the default AIKm pattern for enterprise deployments because it keeps answers auditable, source-cited, and easy to update without retraining the underlying model.

A structured network of entities (people, products, processes, policies) and their relationships, expressed in a form both humans and machines can query.

AIKm uses knowledge graphs to make enterprise data addressable by name, resolve synonyms, and let AI agents traverse relationships instead of guessing from text alone.

AI systems that plan multi-step actions, call tools, and complete tasks with limited supervision, rather than only responding to a single prompt.

AIKm's governance work covers approval boundaries, audit trails, and human-in-the-loop checkpoints so agentic systems remain compliant with ISO/IEC 42001 and internal policy.

A practice where developers describe intent in natural language and let AI generate, refactor, and test code with the human steering the direction.

Vibe Coding is one of the productivity patterns AIKm teaches in its PMI Master Trainer-accredited AI Development for Business track, alongside prompt engineering and workflow automation.

A Hong Kong government funding scheme that co-finances SME projects to strengthen brand, upgrade operations, or expand into new markets.

AIKm advisory engagements are often structured to be BUD-eligible so Hong Kong SMEs can offset a share of the AI adoption cost.

A Hong Kong government fund supporting applied R&D, technology adoption, and talent development in innovation-driven sectors.

AIKm partners on ITF-supported projects where a Hong Kong company is applying AI or knowledge management to a defined operational problem.

The international management-system standard for artificial intelligence, published in 2023, covering governance of AI within an organisation.

AIKm's From Compliance to Trust programme aligns enterprise AI controls with ISO/IEC 42001 so audit, risk, and legal teams have a shared reference.