Services · AI Implementation Services

Bespoke AI systems on your cloud, behind your perimeter.

We design, deploy and hand over secure-by-default cloud-AI environments — IdP-governed, private-endpoint only, with retrieval and evaluation wired in from day one. Pick your provider in the diagram below.

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9 wk

REFERENCE TIME-TO-PROD

100%

PRIVATE-ENDPOINT TRAFFIC

6

DEPLOYMENT PHASES

3

CLOUDS SUPPORTED

Reference Architecture

Azure RAG baseline — the whole stack on one canvas.

Click a service to see what we deploy and why. Filter by phase to isolate a layer. The teal path is the live RAG hot path: ingest → embed → index → retrieve → answer.

PHASE 01Entra · PolicyPHASE 02Hub-and-spoke VNetPHASE 03Key Vault · LogsPHASE 04ADLS · CosmosPHASE 05OpenAI · AI SearchPHASE 06Container AppsEntra IDTenant + groups— PHASE 1Mgmt Group + SubPolicy & tags— PHASE 1Defender for CloudStandard tier— PHASE 1Hub VNetBastion · FW · GW · PE— PHASE 2Spoke VNetapp · ai · data · compute— PHASE 2Private DNS Zonesprivatelink.* zones— PHASE 2Key VaultRBAC · purge · soft-del— PHASE 3Log Analytics+ App Insights— PHASE 3Managed IdentityUAMI for workloads— PHASE 3ADLS Gen2Hierarchical · PE— PHASE 4Cosmos DBChat history · PE— PHASE 4Data FactoryOptional ingestion— PHASE 4Azure OpenAIgpt-4o + embeddings— PHASE 5AI SearchVector + semantic— PHASE 5AI FoundryHub + Project · mVNet— PHASE 5Document Intel.Optional · PE— PHASE 5Container RegistryPremium · PE— PHASE 6Container AppsInternal env · UAMI— PHASE 6Front Door + WAFExternal entry— PHASE 6— RAG HOT PATH · INGEST → INDEX → RETRIEVE → ANSWER
RAG hot pathGovernance / policySecrets / identityResource node

Azure OpenAI

PHASE 05 / OpenAI · AI Search

Azure OpenAI with Private Endpoint, public access disabled. Models: gpt-4o, text-embedding-3-large with TPM quotas.

  • Private Endpoint
  • Public access OFF
  • TPM quotas per deployment
How to read this. Every box is a real Azure resource we deploy with IaC. Every line is a wire that exists in the network — no public egress, only Private Endpoints + UAMI. The teal path is what a user query traverses end-to-end.

What we deploy

16 deployment steps. Ordered by dependency.

The exact sequence we run on every engagement. Each step has IaC modules, runbooks and rollback paths.

01
Identity foundationEntra tenant, groups, RBAC at RG scope.
02
GovernanceMgmt Group, Subscription, Azure Policy + tag enforcement.
03
Threat protectionDefender for Cloud Standard across the subscription.
04
Hub-and-spokeHub + Spoke VNets peered, with subnet plan per workload.
05
Network controlsFirewall, route tables, Bastion, NSGs.
06
Private DNSprivatelink.* zones for AOAI, Search, Blob, KV, Cosmos, AML.
07
SecretsKey Vault (RBAC, purge, soft delete) on Private Endpoint.
08
Telemetry planeLog Analytics + App Insights + diagnostic template.
09
Workload identityUser-Assigned Managed Identity for all services.
10
Data planeADLS Gen2 + Cosmos DB on Private Endpoints.
11
AI coreAzure OpenAI + AI Search on Private Endpoints, semantic + vector.
12
FoundryAI Hub + Project on managed VNet, attached to KV / Storage / AI.
13
ComputeACR Premium + Container Apps internal env with UAMI.
14
RBAC for UAMIKV Secrets User, Blob Reader, Search Index Contributor, AOAI User.
15
RAG pipelineStorage → chunker → embeddings → AI Search vector index.
16
ValidationConnectivity, Defender Secure Score, cost & tag review.

Next step

We bring the architecture. You bring the data.

45-minute architecture review on your tenant: we walk this diagram against your environment and leave a scoped 2-week pilot plan.

Book an architecture review

What you leave with

Tailored architecture diagram
Phase-by-phase deployment plan
Cost + quota baseline