KNOWLEDGE ATLAS
The knowledge base that improves itself.
Knowledge Atlas is the knowledge base that writes itself - the source of truth powering Fini's agent and every surface your support runs on. Every resolved ticket becomes a cited article. Contradictions get caught before customers see them. Nobody spends their Friday updating docs
KNOWLEDGE ATLAS
The knowledge base that improves itself.
Knowledge Atlas is the knowledge base that writes itself - the source of truth powering Fini's agent and every surface your support runs on. Every resolved ticket becomes a cited article. Contradictions get caught before customers see them. Nobody spends their Friday updating docs
Introducing Knowledge Atlas
Introducing Knowledge Atlas
One self-maintaining knowledge layer, doing the work of a documentation team.
One self-maintaining knowledge layer, doing the work of a documentation team.
Auto-generated articles
Auto-generated articles
Conflict detection
Conflict detection
Intent-based search
Intent-based search
Tree attribution
Tree attribution
Self-improvement
Self-improvement
Hosted help center
Hosted help center
Version history
Version history
130+ languages
130+ languages
HOW IT WORKS
How Knowledge Atlas works
Live without engineering. Agentic workflows inside two weeks. Full autonomy by day 30. No migration project.
#1
CONNECT YOUR SOURCES
Start with what you already have.
Bring in your help center, docs, PDFs, past tickets, and Slack threads. Atlas turns them into one structured tree of cited articles. No cleanup, no migration first.
Pulls from every source at once, no migration or cleanup first.
Merges overlapping docs so every answer has one home.
#2
Auto-generated knowledge
Every resolved ticket becomes an article.
When Fini hands a ticket to your team, Knowledge Atlas watches the resolution and writes the documentation, with no one touching a keyboard.
Extracts the information and updates the Knowledge graph
Files it in the right branch of your tree, searchable instantly.
#3
Conflict detection
Two articles disagree. It catches it.
A contradiction in your docs becomes a contradiction in your AI's answers. Knowledge Atlas finds them before your customers do.
Flags duplicates, contradictions, outdated content, and version mismatches.
Surfaces them in a reconciliation dashboard, so there is no guessing what's current.
#4
Tree-structured attribution
Every answer traces to one source.
The tree structure is what makes the AI auditable: no blended answers from conflicting sources, ever.
100% citation accuracy with full version history.
Confidence scores based on source reliability.
RAGLESS SEARCH
No chunks, no embeddings. The LLM reads the actual article.
RAG retrieves fragments that sound similar and stitches them into blended, unsourced answers. Knowledge Atlas skips retrieval entirely: the LLM reads whole articles natively, understands what people actually mean, and traces every answer to one source.
"Card declined," "payment won't go through, one underlying issue, one right answer.
No retrieval layer to tune, no embeddings to re-index when docs change.
Search sharpens as it learns which articles actually resolve the query.
SELF-LEARNING
It doesn't just answer. It learns.
01
Suggests new articles
Spots unresolved questions and drafts the missing coverage.
02
Updates existing ones
Flags stale or conflicting articles and proposes the rewrite.
03
Instructs per article
Writes usage rules on each article and refines them over time.
04
Shows what's working
Analytics on which articles resolve and where gaps recur.
ONE SOURCE, EVERY SURFACE
One knowledge base. Every place support happens.
Powers your AI agent
Clean, cited, conflict-free source data behind every answer it gives.
Hosts your help center
A branded, customer-facing center with AI search that deflects tickets before they arrive.
Reconciliation dashboard
Every conflict and gap in one place, with the current version flagged.
Version history
Full history on every article, so any answer is traceable to approved documentation.
Usage analytics
See which articles resolve, which gaps recur, and where search falls short.
130+ languages
Serve the same knowledge to customers in the language they ask in.
PROVEN IN PRODUCTION
Already live where accuracy isn't optional.
Already live where accuracy isn't optional.
increase in
autonomous resolution
increase in
autonomous resolution
increase in
knowledge coverage
increase in
knowledge coverage
Documentation upkeep
per week
Documentation upkeep
per week
WEFUNDER CUT RESPONSE TIME FROM 7 HOURS TO 15 MINUTES WHILE HANDLING 2X THE VOLUME
WEFUNDER CUT RESPONSE TIME FROM 7 HOURS TO 15 MINUTES WHILE HANDLING 2X THE VOLUME
"Every ticket we resolve now writes itself back into the Atlas as a cited article, so the knowledge grows instead of the headcount. Instead of trying to add and train more people, we can thrive at our current size."
"Every ticket we resolve now writes itself back into the Atlas as a cited article, so the knowledge grows instead of the headcount. Instead of trying to add and train more people, we can thrive at our current size."
— Kai Moon, Head of Investor Success
— Kai Moon, Head of Investor Success
28%
Increase in first response time
Increase in first response time
2x
2x
Volume handled
Volume handled
Why CX teams use Knowledge Atlas
Compared to a traditional KB
Traditional knowledge base
Knowledge Atlas
Knowledge Atlas
Who writes the articles
Your team, by hand
Generated by AI from resolved tickets
Keeping it current
Manual, 15-20 hrs/week
Self-updating from live tickets
Conflicts and duplicates
Found by accident, if ever
Detected and flagged to reconcile
Search
Chunk retrieval (RAG)
LLM native AI search (RAGless)
Answer sourcing
Blended from several articles
One cited, authoritative article
Customer-facing help center
A separate tool
Built in, hostable, same source
Gets better over time
Traditional tools help you search what you already wrote. Knowledge Atlas writes it, fixes it, and keeps it honest.
Compliance First
Secure by design
Built with security and compliance embedded at every
layer to protect sensitive financial data.
Built with security and compliance embedded at every layer to protect sensitive financial data.
SOC 2 Type II
PCI DSS Level 1
ISO 27001
GDPR
HIPAA · BAA-ready
Data Encryption
Every answer comes back with its source.
Every answer comes back with its source.
No synthesis, no blended responses. Each answer points to exactly one article, with its version and a confidence score, the audit trail regulated teams require.
No synthesis, no blended responses. Each answer points to exactly one article, with its version and a confidence score, the audit trail regulated teams require.
1{2 "answer": "Your minimum withdrawal amount is $20.",3 "source": {4 "article": "Withdrawal Limits",5 "path": "Banking › Transfers › Limits",6 "version": "v3",7 "confidence": 0.988 },9 "blended": false10}See it on your own documentation, free.
See it on your own documentation, free.
Book a call and see what Knowledge Atlas can do for your team.
Book a call and see what Knowledge Atlas can do for your team.
HOW IT WORKS
How Knowledge Atlas works
Live without engineering. Agentic workflows inside two weeks. Full autonomy by day 30. No migration project.
Disputes and fraud claims
Verify the customer, pull the transaction, and check it against your fraud rules before anyone is paged.
File the dispute, issue provisional credit where eligible, and log every step for the chargeback and audit trail.
Account access and identity
Step up to KYC-grade verification before any sensitive action, every single time.
Reset MFA, unlock accounts, and re-verify identity within policy, no agent needed.
Payments and transfers
Pull real-time payment, transfer, and payout status straight from your core systems.
Explain holds and failures, then trigger the retry or refund when your rules allow it.
Start with what you already have.
Pulls from every source at once, no migration or cleanup first.
Merges overlapping docs so every answer has one home.
Bring in your help center, docs, PDFs, past tickets, and Slack threads. Atlas turns them into one structured tree of cited articles. No cleanup, no migration first.
Every resolved ticket becomes an article.
Extracts the information and updates the Knowledge graph
Files it in the right branch of your tree, searchable instantly.
When Fini hands a ticket to your team, Knowledge Atlas watches the resolution and writes the documentation, with no one touching a keyboard.
Two articles disagree. It catches it.
Flags duplicates, contradictions, outdated content, and version mismatches.
Surfaces them in a reconciliation dashboard, so there is no guessing what's current.
A contradiction in your docs becomes a contradiction in your AI's answers. Knowledge Atlas finds them before your customers do.
Every answer traces to one source.
100% citation accuracy with full version history.
Confidence scores based on source reliability.
The tree structure is what makes the AI auditable: no blended answers from conflicting sources, ever.
One knowledge base. Every place support happens.
ONE SOURCE, EVERY SURFACE
ONE SOURCE, EVERY SURFACE
Powers your AI agent
Clean, cited, conflict-free source data behind every answer it gives.
Hosts your help center
A branded, customer-facing center with AI search that deflects tickets before they arrive.
Reconciliation dashboard
Every conflict and gap in one place, with the current version flagged.
Version history
Full history on every article, so any answer is traceable to approved documentation.
Usage analytics
See which articles resolve, which gaps recur, and where search falls short.
130+ languages
Serve the same knowledge to customers in the language they ask in.
SELF-LEARNING
SELF-LEARNING
It doesn't just answer. It learns.
01
Suggests new articles
Spots unresolved questions and drafts the missing coverage.
01
Suggests new articles
Spots unresolved questions and drafts the missing coverage.
02
Updates existing ones
Flags stale or conflicting articles and proposes the rewrite.
02
Updates existing ones
Flags stale or conflicting articles and proposes the rewrite.
03
Instructs per article
Writes usage rules on each article and refines them over time.
03
Instructs per article
Writes usage rules on each article and refines them over time.
04
Shows what's working
Analytics on which articles resolve and where gaps recur.
04
Shows what's working
Analytics on which articles resolve and where gaps recur.
RAGLESS SEARCH
No chunks, no embeddings. The LLM reads the actual article.
RAG retrieves fragments that sound similar and stitches them into blended, unsourced answers. Knowledge Atlas skips retrieval entirely: the LLM reads whole articles natively, understands what people actually mean, and traces every answer to one source.
"Card declined," "payment won't go through, one underlying issue, one right answer.
No retrieval layer to tune, no embeddings to re-index when docs change.
Search sharpens as it learns which articles actually resolve the query.
Why CX teams use Knowledge Atlas
Compared to a traditional KB
Traditional knowledge base
Knowledge Atlas
Knowledge Atlas
Who writes the articles
Your team, by hand
Your team, by hand
Generated by AI from resolved tickets
Generated by AI from resolved tickets
Keeping it current
Manual, 15-20 hrs/week
Manual, 15-20 hrs/week
Self-updating from live tickets
Self-updating from live tickets
Conflicts and duplicates
Found by accident, if ever
Found by accident, if ever
Detected and flagged to reconcile
Detected and flagged to reconcile
Search
Chunk retrieval (RAG)
Chunk retrieval (RAG)
LLM native AI search (RAGless)
LLM native AI search (RAGless)
Answer sourcing
Blended from several articles
Blended from several articles
One cited, authoritative article
One cited, authoritative article
Customer-facing help center
A separate tool
A separate tool
Built in, hostable, same source
Built in, hostable, same source
Gets better over time
Traditional tools help you search what you already wrote. Knowledge Atlas writes it, fixes it, and keeps it honest.