private company AI assistant

At Cashcrown we build this service on a proven stack: document indexing, BGE-M3 embeddings, semantic search, generation with citations. Before every query PII is masked, and traffic with sensitive data is routed through a local model instead of an external cloud.

Access control is designed in from the start: employees see only the document sets they have permissions for. Guardrails block attempts to extract secrets or step outside the indexed base, and observability lets us track answer quality and detect knowledge drift.

How much does this service cost and when does it pay off?#

We work in ranges that depend on scope: number of users, document volume and integration level. We start with a pilot at a fixed, low cost so you see the value before a larger investment. When the assistant takes over dozens of hours of work per month (information search, drafting, internal Q&A), it typically pays off in 2–4 months. You can calculate the exact return in the ROI calculator; we don't quote prices upfront because they depend on the real scope.

Does it integrate with our systems and comply with GDPR?#

Yes. We connect to your repositories, SharePoint, knowledge bases and CRM through controlled connectors. PII is masked before every model call, and especially sensitive data is handled locally. Compliance with GDPR and the AI Act is designed in from day one: logging, retention, right to erasure, audit trail.

Where do we start?#

With an audit of one specific use case with a measurable outcome: e.g. Q&A over technical documentation or a helpdesk knowledge base. We show a working assistant before asking for a larger commitment, then gradually expand scope and permissions. More on the approach: how to choose the first process.