01VERSION CONFLICT
Conflicting versions
The product brief changed, while the sales playbook and an AI still quote the old rule.
THE HUMAN-GOVERNED KNOWLEDGE LAYER
Give every AI the same trusted knowledge.
Govern the facts, sources, versions, and permissions used by AI. The system detects changes and conflicts, people make the final call, and every AI receives trusted knowledge safely.
2,418trusted records05awaiting review3 AIconnected
Trusted Knowledge WorkbenchLIVE / GOVERNED
SourceSOURCE DOCUMENT · 019
Enterprise Pricing Brief
Enterprise minimum: 10 seats Annual contracts are supported. The rule takes effect July 20.
ANNOTATION / CONFLICT
The old sales playbook still states a 20-seat minimum. The conflicting source is located.
REF · SALES-V2Trusted Knowledge LayerKNOWLEDGE · 2,418
Current fact10-seat enterprise minimumSource: Product brief v3.2
Annual contractActive
AccessSales / Product
VERSION REVIEW · 05
Minimum seat count changed
Previous20 seats→Proposed10 seats
Product brief v3.2 · Verified source
HUMAN CONFIRMEDSynced to every AICClaudeUpdatedGChatGPTUpdatedCuCursorUpdatedAInternal AgentGoverned
Detect change → Human review → Serve every AI
ARCHIVE / GOVERNANCE / 202601
01 / THE PRODUCTNot another chatbot.
Not another chatbot.
The trusted knowledge layer behind every AI.
CiteKB turns scattered documents, notes, conversations, and business data into shared knowledge that people can confirm, trace, and control.
KNOWLEDGE SOURCES
DProduct documentsVersions and update times
CAI and meeting conversationsDecisions and context
DBusiness dataCustomer and project facts
→UNDERSTAND & CONNECT
C
CiteKBThe human-governed knowledge layer
✓
People confirm important changesAI inference never quietly becomes fact
→MCP / API
EVERY AI
CClaudeProduct and customer knowledge
GChatGPTBrand and operating knowledge
CuCursor / AgentTechnical and project knowledge
01One sourceNo separate copy for each AI02Human confirmationInference stays distinct from fact03Fully traceableKnow where every answer comes from04Permissioned useEach AI reads only its scope
02 / WHY IT MATTERSThe problem is rarely the AI.
The problem is rarely the AI.
It is the knowledge it reads.
As teams adopt multiple AI systems, hidden version and permission problems in document management are amplified quickly.
02STALE KNOWLEDGE
Knowledge goes stale
Without an owner or effective date, outdated knowledge keeps entering new answers.
03MISSING EVIDENCE
Answers lack evidence
An answer may sound right while no one knows its source or version.
04ACCESS RISK
Unclear access boundaries
Sensitive knowledge may be reused across the wrong AI, team, or customer project.
03 / HOW IT WORKSKnowledge keeps changing.
Knowledge keeps changing.
You stay in control.
The system imports, understands, connects, and recommends. People decide what is current fact and which AI systems may use it.
Import together
Connect documents, web pages, notes, AI conversations, and business data while preserving original sources.
Understand and connect
Identify entities, facts, relationships, versions, and effective dates instead of merely chunking text.
Detect change
Continuously detect conflicts, stale records, duplicates, missing evidence, and access anomalies.
Human review
Compare sources and versions, then decide which changes enter trusted knowledge.
Serve every AI
Serve consistent knowledge through MCP or APIs, with every query and access decision recorded.
Continuously produceKnowledge health·Relationship insights·Knowledge evolutionEvery AI inference is labeled and awaits human confirmation
04 / CORE CAPABILITIESMore than storage.
More than storage.
Govern how knowledge is used.
Three core interfaces form one closed loop: review change, understand relationships, and let every AI use the same result.
01
Review inboxCHANGE INBOX
05Knowledge conflict detectedEnterprise minimum seats
Current20 seatsSales playbook v2
→Proposed10 seatsProduct brief v3
People make the final call on important changes.
Conflicts, stale records, duplicates, missing evidence, and access anomalies enter one review queue instead of becoming facts automatically.
02
Knowledge graphRELATIONS & EVIDENCE
2,418Understand knowledge through relations, paths, and evidence.
Explore connections among facts, sources, people, projects, and AI systems, then trace how each conclusion was formed.
03
AI accessACCESS & AUDIT
LIVEC
Claude asks for minimum seatsReturns: 10 seats · Product brief v3
AllowedCu
Cursor asks for authentication architectureReturns 4 records · 2 sources
AllowedG
ChatGPT asks for customer pricingOutside its access scope; sensitive data withheld
BlockedOne trusted source, safely served to every AI.
Connect Claude, ChatGPT, Cursor, and internal agents, with a record of what knowledge each system used and when.
05 / FROM DIAGNOSIS TO PILOTDoes this product fit your reality?
Does this product fit your reality?
Start with a real workflow.
The free diagnosis is not a standalone consulting service. It is the first step toward a product pilot: confirm that the problem is real, frequent, and worth solving before testing the loop with redacted data.
ASK→
Describe the real workflow
In 30 minutes, map where knowledge comes from, which AI systems use it, and the latest failure.
MAP→
Locate consistency risks
Identify the most important gaps across versions, sources, ownership, and access boundaries.
ACT✓
Receive an action plan
Receive a one-page summary of the current state, priorities, and whether a redacted-data pilot is worthwhile.
A diagnosis does not automatically lead to development.We define a minimal pilot only when there is a concrete problem and a data commitment. If your current document library or RAG is enough, we will say so.
06 / WHAT YOU RECEIVE
Leave with an actionable knowledge-risk summary.
The diagnosis does not invent “AI insights.” It puts your actual workflow, risk evidence, and next options on one page.
01
Knowledge-flow mapSee how knowledge actually moves across documents, conversations, databases, and AI systems
02
Risk prioritiesSeparate occasional friction from issues already creating business consequences
03
Pilot recommendationIf it is worth continuing, define a minimal test with 5–10 redacted documents
KKnowledge Consistency Diagnosis
CONFIDENTIAL · SAMPLEPRIMARY FINDING
Pricing knowledge lacks one effective-version rule.
HIGH PRIORITYOld rule20 seatsSales playbook v2
≠New rule10 seatsProduct brief v3
POTENTIAL IMPACT
Sales proposals, customer answers, and three AI connections are using different versions.
RECOMMENDED MINIMUM PILOTUse 5–10 pricing and sales documents to test conflict detection, source tracing, and human confirmation.
07 / WHO IT IS FOR
Not every team needs this today.
Worth a diagnosis
- Your team uses two or more AI tools or agents
- AI needs product, customer, or company knowledge
- You have experienced version, source, or access failures
- Someone repeatedly maintains knowledge and prompts
Probably not needed yet
- AI is used only for general writing or public information
- Your knowledge base is small and rarely changes
- There is no concrete failure or maintenance cost
- You only want another chatbot interface
08 / REQUEST A DIAGNOSIS
Start with your latest real failure.
If this product loop matches your situation, share the basics. We will first assess the fit, then schedule a 30-minute online conversation.
✓No file upload for the first conversation✓Your material will not be used publicly✓We will be direct if there is no fit