The ACCELERAID Platform
AI assistants that work with your data and systems.
Hosted in Frankfurt
AI assistants for customers and teams, connected to your company knowledge, policies and systems. They answer questions based on your content, hand over to staff when needed and filter personal data before the model call. A simple website chatbot goes live in one hour.
How it works
From question to checked answer.
Five steps that run for every request.
01
Ask a question
Customers or employees ask their question in the chat, in natural language.
02
Filter personal data
Names, IBANs, account numbers and addresses are removed before a prompt reaches the model.
03
Retrieve knowledge
The answer is grounded in your approved documents, not in the model’s training data.
04
The model answers
OpenAI via Microsoft Azure (Germany region) or Google Gemini via Google Cloud (Frankfurt). Other models on request.
05
Check and log
Every answer receives a confidence score. Uncertain answers go to employees, and every interaction is logged in an audit-proof way.
Three Ways to Deploy
Talk to your website, your data and your enterprise
What used to mean searching, clicking and waiting is now one short sentence. ACCELERAID makes information — from your website, your systems or internal documents — accessible in seconds with a single question. For customers, employees and citizens alike.
Talk to Your Data
Ask your data questions in natural language — “What were this customer’s top spending categories last quarter?” or “Show me customers with churn signals who hold a premium card.” No SQL. No dashboards. Just answers.
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Natural-language queries on CDP & transaction data
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Product knowledge base Q&A — based on approved documents
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Every answer with a source reference
“Which customers haven’t used their card in the last 90 days?”
↳ 1,247 customers identified — based on payment history and card usage
CDP
CRM
Core Banking
Knowledge Base
FAQ library
Product documents
Connected to your systems
Pre-built connectors to the systems you already use. ACCELERAID integrates with core banking, CRM, knowledge bases and FAQ libraries — so your AI assistant knows what your company knows.
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Core banking & core card system connectors
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Integration with CRM, CLM and CDP
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Knowledge base, FAQ, policy and product document ingestion
Personalised by customer profile
Every AI response is enriched with the customer’s actual data and profile from the CDP. No generic answer — the right answer for this specific customer, their products and their history.
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Customer profile & segment data injected into every prompt
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Consent gates: personalisation only where authorised
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Transaction history, product holdings, CLV — all in context
Customer context injected
Segment: High-Value · Products: Visa Platinum · CLV: €4,200 · Last contact: 14 days ago
Data protection and control
What happens to your data.
Five questions from security and data protection reviews, each with the answer.
Data transfer
ACCELERAID runs language models in Germany: OpenAI via Microsoft Azure (Germany region) and Google Gemini via Google Cloud (Frankfurt). Other models and your own on-premise infrastructure on request. No customer data and no personal information leaves German or EU infrastructure. Data sovereignty is contractually assured.
PII protection
PII firewall: Before data reaches the LLM, ACCELERAID’s filter layer removes names, account numbers, IBANs, addresses and financial details. The LLM never sees raw customer data — only anonymised, tokenised context.
Control
OpenAI and Google Gemini are standard, both hosted in Germany. Other models and on-premise operation on request. No vendor lock-in. Switch models without data migration.
BaFin/MaRisk
Every answer is logged with the source documents used, confidence level and guardrails triggered. Audit-proof logging of every interaction — exportable for internal and external audits. Aligned with MaRisk requirements.
Art. 22 GDPR
ACCELERAID is an AI assistant, not an automated decision-maker. Human agents stay in the loop. The AI provides information and recommendations — the decision remains with the human. All consent statuses are checked before personalisation. Art. 22 compliance is built into the architecture — not added afterwards.
Use Cases
Six ways companies use the AI assistant
From customer-facing chatbot to advisor copilot — every use case in production on the same GDPR-compliant architecture.
Customer AI Assistant
24/7 support, FAQ automation and account enquiries — based on your approved knowledge base. Escalation to human agents for complex issues. Every interaction is covered by audit-proof logging. Reduces first-level support volume by up to 70%.
Advisor Copilot
Real-time support for relationship managers: product recommendations, next best actions and conversation starters — based on the customer’s actual data from the CDP. Makes every advisory call better informed and more personalised.
Credit Card Chatbot
Advanzia Bank use case: activation support, loyalty enquiries, spend analysis and upgrade offers — in production end to end. Covers the full card lifecycle — from pre-application questions to CDP-integrated personalised conversations.
Employee Assistant
Internal FAQ bot for service centre agents: instant answers on policy documents, compliance guides and product knowledge. Shortens onboarding time. Keeps agents consistent. Searchable, always up to date — because it queries your documents directly.
Email Automation
Automatically classify, draft and route customer emails. Reduces handling time by 70% and improves consistency. The AI drafts, the agent approves. Audit-proof logging of every generated draft — GDPR-compliant from the start.
Regulatory Content Generation
Generate product descriptions, T&C summaries and compliance documents — from approved sources, not hallucinated. Every output comes with its source. No risk of unapproved content bypassing the review process.
The Process
How it works — three phases
From your raw data to a production-ready AI assistant — in a structured 8-week engagement.
1
Prepare your data
CDP, CRM, knowledge base, FAQs and product documents are connected via pre-built connectors. PII is identified and filtered before anything reaches the AI layer. Consent states are mapped. Data governance documentation is prepared for internal and external audits.
2
Ground AI responses
RAG retrieval ensures every answer is drawn from YOUR approved documents — not from the model’s training data. Confidence scoring for every response. Low-confidence queries are automatically escalated for human review.
3
Governance & control
Audit-proof logging of every interaction. Model choice — OpenAI or Google Gemini, other models and on-premise on request. Guardrails configured for your compliance requirements. Human escalation paths set up. Aligned with MaRisk requirements. Continuous monitoring dashboard included.
Model Choice
Model choice — you decide
Not tied to one provider. Not dependent on one cloud. ACCELERAID works with the models you trust — including models you run yourself.
OpenAI GPT-5 via Microsoft Azure — Germany
Google Gemini via Google Cloud — Frankfurt
On request: Llama (open source) — on-premise
On request: Mistral (open source) — on-premise
On request: your own model
Frankfurt
Azure Germany N/W Central
or Google europe-west3
On-Premise
Maximum sovereignty
Your infrastructure
No lock-in
Switch models
without data migration
Customer Reference
Deployed. Proven. In production
The AI assistant is not a concept — it runs today at a European bank.
Advanzia Bank
End-to-end AI assistant deployment
A complete credit card AI assistant from ACCELERAID is in production at Advanzia Bank — covering the entire customer lifecycle: from acquisition support and the activation chatbot to CVM-integrated personalised conversations.
The chatbot handles pre-application questions, activation guidance, loyalty enquiries and personalised upgrade offers — all integrated with CDP and CLM for real-time personalisation. GDPR-compliant from day one.
Pre-application questions & application guidance
Card activation support — 24/7
Loyalty programme enquiries & spend analysis
Personalised upgrade offers — CDP & CLM integrated
+70%
Automation rate for standard requests
8 weeks
From kick-off to go-live
25+
Supported languages
0
Compliance incidents
The quick start: AI chatbot for website & app
Answer customer questions and make internal knowledge available: start with one specific task, packages from 5,000 requests per month.
Read on
Where to go next.
From the blog
