RAG | Consulting & Implementation
RAG Consulting & Implementation
Documented AI answers from your own documents, wikis and databases - with sources, authorizations and audit. Technology-open set-up, productive in the first quarter.
RAG Consulting & Implementation: Knowledge that finally answers
Language models are trained on fixed knowledge and frozen by the deadline. You don't know your contracts, you don't know your tickets, you don't know your internal wiki. This is exactly where hallucinations arise in 20-40% of answers, outdated knowledge and missing sources - and this is exactly where Retrieval Augmented Generation (RAG) comes in.
We see ourselves as a RAG service provider with engineering depth: we connect your sources - SharePoint, Confluence, Salesforce, SAP, Jira, ERP, DMS - with a knowledge platform that provides answers with source information, version status and authorizations from your user administration. Cloud or open source, on the stack of your choice.
Instead of a big-bang project, we start with a clearly defined use case - support, HR Q&A or sales co-pilot - and scale up to the platform. First productive results in 4-8 weeks. Studies from 2025/2026 show less than 5% hallucinations with productive RAG and 30-70% efficiency gains in knowledge-intensive processes.
prodot - Your RAG Consultant & Implementer
Group-tested since 1998
For over 25 years, prodot has been developing software solutions for companies such as ALDI SÜD, TK Elevator, Siemens Energy, Rossmann and 3M - today also productive RAG and AI platforms.
End-to-end RAG from a single source
Strategy, architecture, source connection, guardrails, implementation and operation - all at prodot. No handovers to third parties, no gaps in responsibility during go-live.
Compliance, Audit & GDPR
Audit trail, document-level ACLs and data protection are architectural components of every RAG platform - even for regulated industries such as insurance companies, public utilities and financial service providers.
Scope of our RAG consulting & implementation services
RAG strategy & use case evaluation
Knowledge inventory, prioritization by levers and ROI, pilot scope and roadmapRAG implementation & source connection
Hybrid search, embeddings, connection to SharePoint, Confluence, SAP, Jira, CRM and ERP
Guardrails, Audit & Compliance
Protection rules, document-level ACLs, audit trail and regulatory alignment EU AI Act, GDPR, ISO 42001
Operation, training & scaling
SLA operation, user and admin training, modular expansion per department, source, language
Contact us now
Questions & Answers
-
What is RAG (Retrieval Augmented Generation) and what is it used for?
Retrieval Augmented Generation (RAG) connects large language models (LLMs) with a company's own data. Instead of responding solely from training data, the system retrieves relevant content from SharePoint, Confluence, contracts, tickets, CRM or ERP at runtime and passes it to the LLM as context. The AI then responds with the source information, in real time and taking authorizations into account. Studies from 2025/2026 show less than 5% hallucinations with productive RAG - instead of 20-40% with pure LLMs. 65% of Fortune 500 companies are already piloting RAG-based knowledge bases.
-
How quickly can a first RAG use case be put into production?
For clearly defined use cases, the first productive results can be achieved in 4-8 weeks. Typical entry-level use cases with a high repetition rate are customer support first level, HR employee assistant, sales co-pilot or clause research for legal. Our step-by-step model - use case evaluation, pilot, platform - is designed to deliver measurable added value early on and then expand modularly per specialist area, source or language.
-
Which data sources can be integrated into a RAG platform?
prodot typically connects to: Documents & DMS (SharePoint, Microsoft 365, OneDrive), Collaboration (Confluence, Notion, Teams), Tickets & Service (Jira, ServiceNow, Zendesk), CRM & ERP (Salesforce, SAP, Microsoft Dynamics) and Data & APIs (Lakehouse, SQL, REST, GraphQL). The platform implements authorizations from your user administration - personnel files remain in HR, contracts in Legal. Proprietary and legacy systems are also connected via integration adapters.
-
What distinguishes prodot as a RAG service provider?
prodot is not just a consulting company, but an IT service provider with over 25 years of project experience and 80+ IT experts. For us, RAG consulting is always combined with development and operational expertise - the same team advises, develops and operates. We work technology-open with Microsoft Fabric & Azure AI, Databricks, AWS, Google Cloud, Anthropic and open source solutions. ISO-certified, GDPR-compliant and tried and tested for regulated industries. For cloud operations and Azure depth, we work with Skaylink - platform and operation from a single source.
prodot
Who we are
Digital Passion. Driving innovation. We inspire people with the right solutions for their business. As a pioneer and trailblazer into the digital future, we are committed to making our customers even more successful.
Passionate, interdisciplinary and agile. These are our ingredients for successful collaboration with our clients' teams. Together, we integrate innovations into the existing IT infrastructure. With a short time-to-market, seamlessly and efficiently, we help our customers to achieve their business goals in a more digital, secure and smarter way.