Services
Internal AI assistant

Give your team a reliable answer without searching across ten folders

We build a RAG assistant connected to approved sources. It retrieves information, cites the supporting document, and follows each user's access rights.

Accessible knowledge with stronger control

  • Cited answersResponses can link back to the document and passage used.
  • Permission-aware accessEmployees only search sources they are allowed to see.
  • Less manual searchPolicies, procedures, contracts, and files become searchable in natural language.
  • A system that reveals gapsUnanswered questions expose missing or outdated documentation.
Deliverables

An assistant backed by governed knowledge

Source quality and access rules matter as much as model choice.

Source inventory
Indexing and update pipeline
Semantic retrieval with citations
Roles and permissions
Answer evaluation set
Interface, documentation, and training
Use cases

High-value internal assistant use cases

01

Operating procedures

Find the right step and applicable source quickly.

02

Team support

Prepare consistent answers from approved policies and history.

03

Onboarding

Guide new employees through tools, rules, and internal processes.

Anonymized deployment

Accounting firm: faster document retrieval

The anonymized case on the case-studies page reports usage after connection to Drive, CRM, and the document base.

Review the evidence and context
faster retrieval
3 h/day
saved per employee
95%
reported adoption

How we launch your first AI system

01

Scope

We choose one concrete use case: customer chatbot, internal assistant, or business automation.

02

Build

We create the prototype, prompts, workflows, guardrails, and required integrations.

03

Connect

We connect the agent to your documents, CRM, forms, emails, tickets, or APIs.

04

Improve

We observe real usage, correct answers, measure gains, and prepare the next use case.

FAQ

RAG assistant questions

Does the model train on our data?

Not necessarily. RAG retrieves relevant passages at question time without retraining the model on all content.

Can it cite sources?

Yes. Citations and document links are included in the expected behavior and evaluation set.

How is confidential access prevented?

Permissions are enforced at the source level and forbidden-access scenarios are tested before the pilot.

What happens when a document changes?

The synchronization pipeline reindexes the approved version according to the agreed update rules.

Launch a useful AI agent, not a vague project

Describe your need. We help you choose the first AI system to build: chatbot, internal assistant, or business automation.

Talk to Opuslon