Operating procedures
Find the right step and applicable source quickly.
We build a RAG assistant connected to approved sources. It retrieves information, cites the supporting document, and follows each user's access rights.
Source quality and access rules matter as much as model choice.
Find the right step and applicable source quickly.
Prepare consistent answers from approved policies and history.
Guide new employees through tools, rules, and internal processes.
The anonymized case on the case-studies page reports usage after connection to Drive, CRM, and the document base.
Review the evidence and contextWe choose one concrete use case: customer chatbot, internal assistant, or business automation.
We create the prototype, prompts, workflows, guardrails, and required integrations.
We connect the agent to your documents, CRM, forms, emails, tickets, or APIs.
We observe real usage, correct answers, measure gains, and prepare the next use case.
Not necessarily. RAG retrieves relevant passages at question time without retraining the model on all content.
Yes. Citations and document links are included in the expected behavior and evaluation set.
Permissions are enforced at the source level and forbidden-access scenarios are tested before the pilot.
The synchronization pipeline reindexes the approved version according to the agreed update rules.
Describe your need. We help you choose the first AI system to build: chatbot, internal assistant, or business automation.