FSI Technology · Knowledge Base
Your compliance knowledge.
Instantly searchable.
ACCELERAID builds intelligent knowledge bases for financial institutions and FSI software providers — grounded on verified sources, GDPR-compliant, zero hallucination.
The Problem & The Solution
Why generic AI fails in compliance — and what to do instead
The problem with generic AI in compliance
Generic LLMs hallucinate regulatory facts
Answers without source references are audit liabilities
US-hosted models violate GDPR for EU banks
No connection to proprietary internal documents
ACCELERAID RAG — grounded on your documents
Every answer references the exact source document and paragraph
On-premise or EU-hosted — your data never leaves
MCP-compatible: connects to your existing document systems
Audit-proof logging of every query and response
How It Works
Four steps from document to verified answer
Retrieval-Augmented Generation (RAG) never invents facts. Every response is anchored to a real document passage that can be read, cited and audited.
1
Step 1
Ingest
Compliance docs, product manuals, regulations, internal guidelines uploaded and indexed. Supports PDF, Word, HTML, structured databases.
2
Step 2
Retrieve
When a question is asked, the most relevant document passages are retrieved — not generated from model memory.
3
Step 3
Generate
The LLM composes a precise answer using only the retrieved passages. Source references included in every response.
4
Step 4
Audit
Every query, retrieved passage and generated answer is logged. Audit-proof logging for compliance reviews.
No answer is ever generated from memory.
If the relevant passage isn’t in your indexed documents, the system tells the user it doesn’t know — rather than inventing a plausible-sounding but incorrect answer.
Use Cases
Three ways FSI teams use ACCELERAID RAG
From compliance officers to customer service agents — anyone in a financial institution can ask questions and get precise, sourced answers.
Compliance Q&A
Advisors, compliance officers and customer service agents ask natural-language questions about regulations, product rules and internal policies — and get precise, sourced answers instantly.
Source-cited answers
Regulatory Research
Automatically surface relevant regulatory passages from BaFin, ESMA, EBA or ECB publications when analysing a new requirement or preparing an audit response.
BaFin · ESMA · EBA · ECB
Product Knowledge Base
Customer service teams and AI assistants access up-to-date product information, pricing, T&Cs and eligibility rules — always from the current, verified source.
Always current · Always sourced
AI Infrastructure
Model-agnostic. Privacy-first. Audit-ready.
The ACCELERAID RAG layer is model-agnostic. OpenAI (via Azure, Germany region) and Google Gemini are standard for the generation step; fine-tuned open-source models and other providers on request. Connect existing document systems via MCP — always with PII filtering and audit-proof logging.
On-Premise
Open source + fine-tuning (on request)
RAG + MCP
OpenAI / Azure
Google Gemini
PII filtering before the model call
Names, IBANs, account numbers and personal details are stripped before any content reaches the LLM. Your customer data stays protected.
MCP-compatible connectors
Connect directly to your existing document management systems, SharePoint, Confluence or proprietary repositories via the Model Context Protocol.
Audit-proof logging
Every query, retrieved passage and generated answer is logged with timestamps. Exportable for internal and external audits.
For businesses: AI chatbots & assistants
Running a bank rather than building software? Our chatbot offer answers customer questions on your website and app and makes internal expertise available.
Blog
Related insights

AI & Banking
Agentic Experience Platform for Banks: Why the Loop Matters, Not the Tool
Golden context, customer loop, check step: why in banks the time from signal to checked action matters, not the tool. Opening article of the series.
Read article →

CLM & CVM
Customer Lifecycle Management and Customer Value Management: The Operating Model for Agents
Part 1/5: CLM supplies the rows, CVM the objective. Why agents without an operating model optimise for clicks, and what belongs in each cell of the matrix.
Read article →

Data & Technology
Customer Data Platform with a Context Layer: From Golden Record to Golden Context
Part 2/5: Three contexts, five functions, four kinds of memory. What turns a data field into a context object, and what the agent should not see.
Read article →
Build a compliance knowledge base for your platform.
See how ACCELERAID RAG handles your specific compliance documents, regulatory publications and internal guidelines — grounded, sourced, audit-ready.
