The right answer is rarely in one place
Version sprawl, slow search, and dependence on individual memory make trusted answers expensive and risky.
EVIDENCE FILE 01 / REFERENCE ARCHITECTURE
Knowledge Navigator: grounded answers from documents
This case study shows how document search becomes a sourced and reviewable answer.
ENGAGEMENTDiscovery to Pilot DesignREFERENCE ROUTE
EVIDENCE STATUSTarget framework; baseline requiredNOT A CLAIM
CLIENTClient identity not publishedCONFIDENTIAL
DOMAINEnterprise AI & KnowledgeAI / RAG
Project Overview
Project summary
Valuable organizational knowledge is often spread across files, systems, and individual memory. Knowledge Navigator is not another chat window; it is a governed route connecting a question to trusted evidence, access policy, and expert feedback.
This page presents a reference case architecture. Client identity, final technology, and quantified outcomes are added only after a real pilot and disclosure approval.
Every answer needs a chain of trust
Semantic retrieval, authorization, precise citations, and expert feedback operate as one observable loop.
AI does not replace the process owner
The system proposes an answer and its evidence; high-consequence decisions remain inside a human approval boundary.
Current State & Design Move
The manual-search problem
A useful intervention changes how work moves—it does not merely add a new interface. Toggle the comparison to inspect the proposed shift.
Time lost locating the current document versionAnswers dependent on a handful of experienced peopleUnclear permissions and uncertain answer provenance
WORKFLOW COMPARISON
Search every repository
FRAGMENTEDFiles, email, messages, and disconnected tools
Ask the key people
DEPENDENTAvailability and memory become dependencies
Compare versions
SLOWManually inspect dates, status, and validity
Deliver a weakly traceable answer
UNCERTAINProvenance and reasoning are hard to audit
Governed, versioned sources
GOVERNEDEvery item has an owner, state, and access policy
Semantic retrieval
RELEVANTLocate relevant passages, not only matching words
Source-grounded answer
TRACEABLEExpose documents, passages, and uncertainty
Review and feedback
LEARNINGCapture expert judgment for the next evaluation loop
Solution Architecture
Solution architecture
Each layer carries one explicit responsibility: source intake, governance, retrieval, and answer delivery. Select a station to inspect its logic.
ACTIVE STAGE
Enterprise Sources
Documents, policies, and knowledge bases enter with ownership, version state, and metadata. No trusted source means no grounded answer.
INPUT / VERSIONED SOURCEReference Product View
User experience
This concept demonstrates the experience logic: a clear question, structured response, inspectable citations, and feedback. The final interface follows user research and accessibility testing.
User question
“Which documents are required to begin a specialist equipment purchase?”
Source-grounded answerREFERENCE UI / NOT LIVE DATA
Under the purchasing guideline, a request should contain a statement of need, technical specification, and approval from the unit owner. Specialist purchases also require technical evaluation before the quotation stage.
SOURCE 01Purchasing Guideline / §3.2
SOURCE 02Technical Evaluation / Current Version
2 authorized sources retrieved
Was this useful? Yes / Needs review
Impact Evidence Framework
Measure the result
A baseline and target must be agreed with the process owner before success is declared. Select a metric to see its role in the pilot.
FRAME
WORK
WORK
ACTIVE METRIC
Source Coverage
Tests what share of reference questions receives an answer supported by current, authorized sources.
Baseline construction requiredFROM REFERENCE ARCHITECTURE TO YOUR REAL CONTEXT.
Have an enterprise document problem?
Bring one constrained knowledge domain, real users, and the primary risks into the Advisory Room. We will frame discovery, prototype, and pilot around evidence.