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Domain Knowledge Platform
Making a complex enterprise environment understandable
Primus turned authorized documents, work items, code, operational data and warehouse knowledge into one governed, navigable and evidence-backed domain layer.
FunctionalWork managementSource codeDocumentsOperational dataData warehouse
01 / Client situation
Bring knowledge from many systems into one clear view.
A mission-critical enterprise environment had accumulated essential operating knowledge across formal documents, work-management systems, source-code repositories, data structures and experienced people. Answering one important question meant finding the right experts, searching several tools and manually reconciling what each source said.
context
The opportunity was to reduce expert dependency, repeated questions, slow onboarding and change risk by connecting the knowledge already available.
02 / Primus intervention
One question.
Every authorized source.
Every claim traceable.
Primus designed a change-aware source-to-answer platform: read-only connectors collect approved material; adaptors normalize and scrub it; a common corpus preserves attribution and access; hybrid retrieval assembles the evidence; and a policy-gated answer layer verifies citations before returning a role-aware response. The same governed knowledge can be explored in the browser or consumed through approved REST and MCP interfaces.
Ask across approved knowledge
What changed, which systems are affected, and what evidence supports that conclusion?
- Retrieve the strongest approved evidence
- Adapt the view to the user and task
- Resolve every citation before returning
- Route unsupported questions to the right person
03 / Knowledge fabric
Six views create one navigable model of the enterprise.
Each source remains authoritative in its native system. The platform adds the connective layer needed to understand how the parts work together.
Functional
Journeys, rules, actors, handoffs and exceptions.
Work management
Backlogs, decisions, comments, history and recurring demand.
Source code
Services, dependencies, technology posture and change concentration.
Documents
Requirements, designs, tests, procedures and operating records.
Operational data
Schemas, keys, indexes and system relationships.
Data warehouse
Loads, subject areas, facts, dimensions and reporting lineage.
Every connector is read-only. Change flows through delta queries, webhooks, polling or controlled exports; unchanged material is skipped.
04 / Source-to-answer architecture
Five stages turn fragmented sources into trusted answers.
The corpus is the deliberate seam between ingestion and experience, allowing adaptors to change while the answer layer stays stable.
- 01→
Authorized sources
Read approved enterprise systems through controlled, read-only connections.
- 02→
Source adaptors
Fetch only changed material and normalize every source into a consistent record.
- 03→
Knowledge corpus
Scrub, structure, chunk and preserve source identity, relationships and access.
- 04→
Answer layer
Combine hybrid retrieval, role-aware ranking, model policy and citation verification.
- 05
People + systems
Serve the browser experience and approved REST or MCP consumers from one seam.
THE CORPUS IS THE SEAMOne record shape · stable identity · access metadata · source lineage
05 / Experience
A user can navigate, ask, verify and continue with the context intact.
The interface combines curated pages, scoped questions, role-aware retrieval, source inspection and persistent threads.
- 01
Navigate
Enter through the business function, project, repository, document set or data domain you recognize.
- 02
Scope
Pin a page or add sources so the evidence boundary is explicit before the question is asked.
- 03
Ask
Choose the role and response depth, then ask the operational, technical or assurance question.
- 04
Verify
Inspect citation markers, source detail and the authorized original before using the answer.
- 05
Continue
Keep the thread, refine the question and change scope deliberately while preserving provenance.
Role-aware intelligence
The same facts can support the needs of different roles.
06 / Security + trust
Read-only at the source. Least privilege through the platform.
Identity, data handling and model access follow explicit boundaries and controls.
- One platform identity with controlled access
- Least-privilege grants per source
- Read-only connections to source systems
- Sensitive-pattern scrubbing and quarantine
- One auditable model-policy gate
- Verified citations before an answer returns
07 / Enterprise use cases
Useful wherever knowledge must survive change.
The case shows how a trusted knowledge layer can improve onboarding, change analysis, operations and decision support.
Onboard to a complex estate
Give new teams a navigable map of functions, systems, data and operating context.
Trace change impact
Connect a rule or work item to services, schemas, tests, reports and downstream dependencies.
Accelerate incident inquiry
Move from symptoms to prior decisions, code knowledge and operating guidance.
Plan modernization
Expose age, coupling, quality findings and business dependencies before shaping a roadmap.
Reduce recurring demand
Cluster repeated issues and surface the process or product gap underneath the queue.
Support audit and assurance
Answer control questions with source-linked evidence and explicit access boundaries.
08 / Technology & methods
Technology and delivery methods used in the work.
Hybrid retrievalPostgreSQL and pgvectorChange-aware ingestionRole-aware accessVerified citationsREST and MCP
About this caseEnterprise knowledge-platform engagement
This case focuses on the implemented platform and the value of a trusted knowledge layer.
Domain Knowledge Platform