Very little. All we ask is that you (a) identify one or two high-impact use-cases—e.g., policy search, anomaly detection, or workflow automation—and (b) grant read-only visibility to where that data currently lives (SharePoint, Azure Blob, SQL, etc.). We’ll map the rest during the call and handle deeper access after an NDA is in place.

Most clients launch a 30-day pilot immediately after receiving their AI Blueprint. Typical time-to-value is 4–6 weeks: RAG search reduces knowledge-retrieval time by 60-70 %, and ML-driven anomaly detection surfaces savings or revenue leaks within the first month. Full enterprise roll-out generally follows in 90 days.

All solutions are deployed inside your Azure tenancy, behind your existing IAM and network policies—nothing leaves your cloud. We build to SOC 2, ISO 27001, and FedRAMP-ready standards, encrypt data in transit and at rest (AES-256), and support customer-managed keys. Audit logs remain fully in your control.

Surprisingly little. Because Corebix engineers embed into your Azure environment, your team mainly signs off on permissions and attends two short progress reviews per week. We handle architecture, model fine-tuning, and MLOps; your staff focuses on validating results and planning the next automation win.