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02.

Custom AI solutions using Azure services

Systems built on Azure OpenAI, AI Foundry and AI Search around your data and your workflows.

Overview

A demo that works on five clean documents is not a system. Production AI has to survive your real permissions model, your real file sprawl, and the person who asks the question a slightly wrong way. That is the part we build.

What it covers

Grounding in your own content

We index what you already have — SharePoint, Teams, OneDrive, file shares, line-of-business systems — with Azure AI Search, so answers come back with citations pointing at the source document rather than a confident guess.

Permissions that survive the query

Retrieval respects Entra ID group membership. Someone asking a question only ever gets answers from documents they were already allowed to open, which is the difference between a useful assistant and a data incident.

Evaluation before rollout

We build a question set from your real workflows and score the system against it before anyone outside the project sees it. If it cannot answer the questions your team actually asks, it does not ship.

Integration where the work happens

The system lands inside Teams, a browser tab your team already has open, or an existing internal tool — not as another login that quietly gets abandoned in week three.

How the engagement runs

A defined shape, so you know what happens next and what you get at each stage.

What you end up with

Azure OpenAI ServiceAzure AI FoundryAzure AI SearchMicrosoft Entra ID

A working system in production, grounded in your documents, that your team uses without being told to.

Start with a free AI readiness assessment

Tell us the workflow. We'll tell you what AI can do with it.

Get your assessment