Spotted
Data Dave · Analytics
The same question, ten times.
Team South asks Coco about error code 23-F1 ten times. Data Dave spots the pattern instantly — again and again, with no answer in the system.
Knowledge Management
Your knowledge, kept alive.
A single source of truth that maintains itself. Knowledge Agent Nora keeps your knowledge current, consistent and findable — and pulls in your experts exactly when it matters.
One team. One memory.
What Nora knows, Ellie knows. What Coco hears, Dave hears.
Your agents don't work side by side — they share everything: one platform, one shared memory, one team. If Nora finds an outdated document, Ellie hears about it and updates the course. If Dave spots a knowledge gap, Adam knows exactly who to assign the training to. Nobody starts from zero, because everyone knows the same thing.
Shared memory
Every decision traceable.
Knowledge flows from your sources into a living Knowledge Layer. Nora reviews it, connects it and keeps it clean — and brings a human in whenever there's a conflict or a gap.
Original sources
Documents, SOPs, tickets, chats — your raw knowledge.
Signals from other agents
Data Dave: “People are asking things that aren't documented anywhere.”
Knowledge Agent
Nora
Nora asks
Human in the loop
Conflict resolution
“Markus, two sources contradict each other here — option 1 or option 2?”
Markus decidedMissing knowledge
“Sebastian, there's knowledge missing here — should I draft a guide for an expert interview?”
Expert decides
Knowledge Layer
Your verified single source of truth — every decision logged and traceable.
A digital twin of your knowledge.
Not another folder full of documents, but a living model of your knowledge — connected, verified and always current.
A knowledge graph, not a document graveyard.
Nora connects terms, processes and sources into a graph. Every agent sees what relates to what — so answers carry context instead of just keywords.
Capture by agent — from video & voice too.
Knowledge rarely lives in tidy documents. Capture Caro runs interviews, transcribes video & speech and structures it into knowledge you can use.
Raw sources in, one verified truth out.
The Managed SSOT Layer turns scattered, contradictory sources into a single, current truth — versioned, verified and usable by every agent.
A concrete scenario.
Error code 23-F1 — from a recurring question to a finished mini-course, without anyone lifting a finger.
Checked
Knowledge Nora · Knowledge Agent
Nora checks the Knowledge Layer.
The answer exists nowhere — a genuine knowledge gap, surfaced cleanly instead of papered over.
Captured
Capture Caro · Capture
Caro captures the knowledge.
A quick interview with Service-Sarah, who knows the fix — structured and dropped straight into the Knowledge Layer.
Built
Ellie · Content
Knowledge becomes a mini-course.
Ellie automatically builds a short, fitting training from the new solution.
Solved
Assistant Adam · Enablement
Adam assigns it — done.
Adam assigns the course to Team South. Next week nobody asks about 23-F1 anymore — and if they do, Coco has the answer right away.
Nobody lifted a finger.
Knowledge gaps? Dave spots them before you go looking.
Data Dave watches what actually happens day to day — and flags where knowledge is missing, outdated or not landing.
Knowledge gap detected
“2 teams clearly struggle with installing heat-pump model X — 15 questions in the AI assistant over the last 2 weeks, no matching documentation.”
Content outdated
“You updated 2 documents in the Knowledge Space → 4 courses now hold outdated or contradictory information.”
Exam weakness
“In the safety-standards exam, 60% of learners get the fall-protection questions wrong — especially in Team North.”
Recurring question
“The question ‘How do I reset error code 23-F1?’ was asked 10× by Team South → missing training or missing documentation.”
Every decision is logged.
What Nora changed, who resolved which conflict, which source entered the layer and when — it's all traceable. You stay in control, and your knowledge stays auditable and GDPR-compliant.
Ready? Your team isn't waiting
- Productive in days, not months
- Runs without an L&D department
- Available in 95+ languages
