KERVALT / CUSTOMER EXPERIENCE
Customer experience AI that protects trust
Kervalt powers conversational agents, sentiment analysis, and personalized support on European infrastructure. Scale support tickets, KB answers, and customer interactions without leaking personal data, inventing answers, or exposing data to foreign jurisdictions.
01 / PROBLEM
From generic chatbots to trusted support operations
Customer-facing bots rely on public services that train on conversations, leak personal data, and invent answers. Sentiment analysis misses context. Personalization depends on data the enterprise cannot safely share.
BEFORE
Customer-facing bots rely on public services that train on conversations, leak personal data, and invent answers. Sentiment analysis misses context. Personalization depends on data the enterprise cannot safely share.
AFTER
Kervalt runs agents on infrastructure you control with grounded responses, personal data redaction, response-time tracking, and full citation trails. Support scales without sacrificing accuracy, privacy, or compliance.
02 / HOW KERVALT HELPS
Three ways Kervalt supports customer support operations
Each capability handles a dimension that trusted customer service requires.
FIND
Understand support tickets and customer language
What it does: Reads meaning across support tickets, transcripts, emails, feedback, and knowledge bases.
Why it helps: Extracts intent, sentiment, and urgency from unstructured customer communications.
What you get: Powers responses that match the customer's actual question and emotional state.
CONNECT
Map customer journeys across tickets and orders
What it does: Traces relationships across customers, support tickets, orders, cases, products, and touchpoints.
Why it helps: Connects customers, orders, cases, products, and touchpoints across systems.
What you get: Surfaces context that makes every interaction feel informed and continuous.
VERIFY
Ground KB and agent answers in facts
What it does: Checks structured orders, entitlements, SLAs, response times, and customer data with exact logic.
Why it helps: Filters by exact account status, order history, KB coverage, and policy rules.
What you get: Eliminates invented claims and ensures every answer is anchored to verified data.
03 / USE CASES
Customer support use cases
Specific problems, what happens if they go unresolved, and how Kervalt fixes them.
CONVERSATIONAL AGENTS
Bots and ticket automation give wrong answers and leak data
Problem: Generic bots trained on public data cannot access enterprise systems or KB articles and often invent responses.
Agitate: A single wrong answer or data leak damages customer trust and triggers regulatory scrutiny.
Solve: Kervalt grounds agents in your knowledge base, support tickets, and CRM data with source citations, personal data redaction, and no public training.
SENTIMENT ANALYSIS
Sentiment scores and CSAT miss the real story
Problem: Keyword-based sentiment and CSAT tools misread sarcasm, context, and multi-turn conversations.
Agitate: Misclassified sentiment and delayed escalations lead to churn, lower CSAT, and missed product insights.
Solve: Kervalt interprets nuanced language across full ticket and conversation history and links feedback to customers, products, and cases.
PERSONALIZED SUPPORT
Personalization conflicts with personal data privacy
Problem: Personalization engines depend on sending customer data to external services.
Agitate: Customers lose trust, regulators impose limits, and personalization becomes a liability.
Solve: Kervalt personalizes using first-party data on infrastructure you control, with strict access controls and full data residency.
QUALITY ASSURANCE
Agent and first-contact performance is hard to verify
Problem: Automated conversations and first-contact resolutions are reviewed manually, sampling only a fraction of interactions.
Agitate: Undetected quality issues compound, hurting CSAT, first-contact resolution, and compliance.
Solve: Source citations and exact policy checks make every agent output auditable and reviewable at scale.
04 / SOVEREIGNTY
Sovereignty for customer data
Support tickets, conversations, personal data, and behavioral data stay inside your controlled perimeter.
PICTURE
Customer conversations and support tickets are processed by a foreign AI provider, exposing personal data and creating GDPR and regulatory risk.
PROMISE
European deployment with built-in personal data redaction, customer-managed encryption, and no public AI training.
PROVE
EU data residency, GDPR-aligned controls, ISO 42001 alignment, and protection from foreign data requests.
PUSH
Watch a CX demo or build a proof-of-concept on infrastructure you control.
ARCHITECTURE HIGHLIGHTS
- Compute and storage located entirely in Europe
- Built-in personal data redaction and access controls
- Customer-managed encryption keys
- No leakage to outside AI services
- Your data is never used to train public AI models
NEXT STEP
Ready to scale trusted customer experiences?
Watch a CX demo or build a proof-of-concept to see how Kervalt powers conversational AI, ticket automation, and KB answers without compromising privacy or accuracy.