FRAGMENTED KNOWLEDGE → USABLE CONTEXT
Knowledge & AI
Company knowledge lives in PDFs, websites, chats, groups and people's heads. For people and AI to use it reliably, it needs structure, sources, approvals and clear knowledge spaces.
TYPICAL STARTING POINT
When context is missing, work gets stuck.
PDFs and chats contain important information but are hard to search.
AI should use company knowledge but only approved sources.
Different audiences need separated knowledge spaces.
TARGET STATE
Knowledge becomes findable, curated and usable for search, employees or an AI concierge without mixing sensitive content uncontrollably.
Capture sources
→Structure and curate
→Define permissions and approvals
→Connect search and concierge
RELEVANT BUILDING BLOCKS
Use only the components that actually solve the problem.
Service
Knowledge Management
Structure knowledge from PDFs, documents, websites, chats and experience so people and AI can use it.
Explore service →ServiceAI Agents & Concierge
Assistants that use customer context and knowledge, answer questions and prepare permitted actions through natural language.
Explore service →ServiceAI & Automation
Use AI so communication and data turn into recognizable signals, next steps and controlled follow-up actions.
Explore service →ServiceAPIs, MCP & System Integration
Connect existing software, data and AI so users can retrieve information and trigger permitted actions without constantly switching systems.
Explore service →COMMON QUESTIONS
The questions behind the problem.
Knowledge
What is an API?
An API is a defined interface that lets software systems exchange data or invoke each other's functions. It is often the foundation for integration instead of manual data transfer.
Open answer →KnowledgeWhat is a webhook?
A webhook automatically informs another system when an event occurs. For example, a new message can trigger a follow-up process immediately without constant polling.
Open answer →KnowledgeWhat is MCP and why is it useful?
MCP stands for Model Context Protocol. It provides a standardized way to connect AI systems with approved data sources and tools so an assistant can do more than answer questions and can act within defined permissions.
Open answer →KnowledgeWhat does RAG mean in AI?
RAG stands for Retrieval-Augmented Generation. An AI system first retrieves relevant information from approved knowledge sources and then uses it as context for its answer.
Open answer →START CONCRETELY
Do not start with a major transformation project.
A clearly scoped bottleneck is enough to start. We review data, communication, systems and the next useful step, then turn it into a small reliable pilot.