openbkn-ai/bkn-dsh#openbkn-business-context

中文

Bring governed enterprise business knowledge into DeepSeek Harness conversations.

Why bkn-dsh

General-purpose AI can reason fluently but often lacks the trusted business context required for real decisions. Enterprise knowledge is distributed across systems, rules, processes, metrics, and relationships, while access must remain consistent with the user's identity and permissions.

OpenBKN turns that fragmented knowledge into governed business knowledge networks. bkn-dsh makes those networks available where users already analyze and act: the DeepSeek Harness conversation experience.

What it does

bkn-dsh connects DeepSeek Harness to OpenBKN so an authorized user can:

• sign in to OpenBKN without affecting local DSH work;
• select a business knowledge network they are allowed to access;
• analyze business questions within that network's objects, relationships, rules, and metrics;
• keep each conversation scoped to one explicit business context;
• inspect the business sources, execution trace, context graph, and evidence behind each result.

The integration is designed as an additive DSH plugin. It preserves the native DSH conversation experience while OpenBKN remains the authority for identity, permissions, business semantics, and traceable evidence.

Who it is for

• Business users who need reliable analysis without learning query languages or platform APIs.
• Analysts and decision makers who need to understand not only an answer, but also the business objects, relationships, indicators, and evidence behind it.
• Enterprise AI platform teams that need governed knowledge access without exposing unrestricted data interfaces to users or models.
• Knowledge network owners who want their curated business semantics to be used consistently in everyday AI workflows.

Business value

• More accurate analysis — answers are grounded in explicit business semantics and current authorized data.
• Safer enterprise adoption — users and models operate within the selected network and the platform's permission boundary.
• Explainable decisions — every completed analysis can be traced to business context, execution facts, and available evidence.
• Lower interaction cost — users ask business questions naturally instead of navigating multiple systems or writing technical queries.
• Reusable organizational knowledge — governed knowledge networks become a shared decision layer across conversations and teams.

License

Apache License 2.0