Under the hood of a BEP Expert
A BEP Expert is cross-system connected to your ERP, CRM and documents. EU-hosted on Mistral, Claude (Bedrock EU) or Azure, with audit logs, NIS2-compliance and no vendor lock-in.
AI tools promise smart and fast, done in ten minutes.
Until you dig deeper. Multiple sources. Sensitive data. Business context. Answers you need to substantiate. Processes where AI doesn't just help, but must run reliably alongside. That's where standard AI stalls.
BEP: your digital colleagues, not for one task, but for your entire organisation.
1. The model
Everyone has access to AI models like OpenAI, Anthropic, Mistral and Gemini. The model itself is no longer the differentiator. BEP runs on the model that fits your situation, use case and compliance requirements.
2. The connection
This is where it usually goes wrong. Can AI access the right documents, systems and knowledge sources? Within the right permissions? With current information? This is where AI becomes reliable, and where our experience makes the difference.
3. The adoption
Does AI become part of daily processes, or stay a toy for a few enthusiasts? BEP supports adoption, governance and continuous improvement, so AI isn't just introduced, but truly lands in the organisation.
4. Your control
EU-hosted, in your own cloud or on-premise. With audit logs, authorisation model and prepared for NIS2 and the AI Act. You decide where data sits, which models run and which actions AI may take.
One brain. Many digital colleagues.
No isolated AI silos. Every digital colleague works from one connected business layer, but always within the rights, roles and authorisations of your organisation. They share context where appropriate, and sensitive information stays protected where it must.
One source of truth, many specialised voices. Each colleague expert in their role, all consistent with the same business context.
The power of BEP, one operational company brain.
All business data converges in the operational company brain and is unlocked through multiple channels for your employees, customers and systems.
One shared layer for every digital colleague
Not one RAG engine. Four.
Most AI platforms run on one flavour of RAG: a search function on your documents. Good for simple questions, not for the real work. BEP has spent five years building out four different RAG engines, each suited to a different type of question. The platform automatically picks the best engine, so the answer is always accurate, relevant and grounded in your business information.
Standard Retrieval-Augmented Generation: find the right fragment in a document and give a direct answer. Fast and accurate for factual lookup questions.
Fast · Factual · DirectUnderstands the relationships and context between documents. A question about a customer doesn't just retrieve the customer file, but also related projects, contracts and emails, and understands how they connect.
Relations · Context · ConnectionAutonomous AI agents that make decisions while searching: which source to check first, which follow-up question to ask, when to stop. For complex queries that require more than one source.
Autonomous · Decisive · InvestigativeParallel processing for multi-step workflows. Splits a complex question into sub-questions, processes them in parallel and merges the results into one substantiated answer. Scales to large research tasks.
Parallel · Multi-step · ScalableFive years of development. Not one model that has to do everything, but four engines that each excel at what they do best, with the platform choosing the right route automatically. BEP also goes beyond vector search alone: agents work with the live state of your data, form hypotheses, and can search exactly for textual values like error codes, versions and specific terms. No stale snapshots.
How a digital colleague reasons through your business data.
A real example: a sales question that standard RAG would fail on, but where BEP's Agentic RAG works through autonomously, source by source, hypothesis after hypothesis, until the full answer emerges.
"Why did we lose Bakker B.V. three years ago, and is it worth reaching out again?"
"We lost Bakker B.V. in 2022 on price (€18,500, 22% above current rates). Since then we've won two comparable customers, and Bakker B.V. just raised €3M."
Recommendation: re-engage with the new proposition + the two case references.
Standard RAG would only have found the customer record (empty field) and said "no reason recorded". BEP's Agentic RAG reasons further, switches between engines, and delivers an actionable recommendation, not a memory dump.
Not just smart. Also secure, scalable and traceable.
Five years building a platform that makes enterprise requirements self-evident, no separate modules or pricier tiers, but baked into every layer of BEP.
Your business data
Directly connected to all your data sources.
Enterprise Security
Bank-grade security for your data.
Full compliance
Meets all regulations.
100% source citation
Every answer is traceable to its source.
Continuous learning
BEP gets smarter with every interaction.
For more complex questions
For questions that require more research, BEP bundles information, analyses it and delivers a substantiated output, not a summary, but a working result.