private company AI assistant

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

Access control is designed from the ground up: employees see only the document sets they have permissions for. Guardrails block attempts to extract secrets or go beyond the indexed database, while observability lets us track response quality and detect knowledge drift.

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

We work in tiers based on scope: number of users, document volume, and integration level. We start with a pilot at a fixed, low cost so you can see the value before a larger investment. When the assistant saves tens of hours of work monthly (searching for information, drafting, internal Q&A), it typically pays off in 2–4 months. You can calculate the exact ROI in the ROI calculator; we don’t provide upfront pricing because it depends on the actual scope.

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

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

Where do we start?#

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