FRAGMENTED DATA → RELIABLE CONTEXT
Data & Migration
CRM, spreadsheets, WhatsApp exports and other sources often contain the same customer in different forms. Clean data is the prerequisite for reliable communication, automation and AI.
TYPICAL STARTING POINT
When context is missing, work gets stuck.
Duplicates and spelling variants make matching difficult.
Historical messages cannot be assigned to contacts.
Before a migration, it is unclear which data should be authoritative.
TARGET STATE
Sources are analyzed, normalized, deduplicated and moved into a traceable target model including history and provenance.
Inventory sources
→Normalize and match
→Define the golden record
→Preserve provenance and history
RELEVANT BUILDING BLOCKS
Use only the components that actually solve the problem.
Service
Data Migration & Consolidation
Consolidate, clean and activate distributed contact, message and company data.
Explore service →ServiceCRM & Relationship Management
Bring customer context from contacts, companies, communication, opportunities, follow-ups and open items into one shared history.
Explore service →ServiceKnowledge Management
Structure knowledge from PDFs, documents, websites, chats and experience so people and AI can use it.
Explore service →ServiceSecurity, Privacy & Governance
Keep AI and automation controllable through roles, approvals, tenant separation, audit and privacy by design.
Explore service →COMMON QUESTIONS
The questions behind the problem.
Knowledge
What 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 →KnowledgeWhat is an AI agent?
An AI agent is an AI-based system that pursues a goal, processes information and can use tools or systems within defined rules. What matters is its actual scope, permissions and controls.
Open answer →KnowledgeWhat does Human in the Loop mean?
Human in the Loop means a person reviews, approves or decides at defined points. This is especially important for sensitive data, external messages, financial consequences or high-impact actions.
Open answer →KnowledgeWhat is Row Level Security?
Row Level Security controls at database level which individual records a user may view or change. It is especially important for role-based and multi-tenant applications.
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.