Azure · Middle East · Banking & Finance
Enterprise-grade agentic AI platform for a Middle East bank — sovereign, guardrailed, in production.
We built a sovereign, in-region agentic AI platform for a top Middle East bank — 9 production agents across ops, risk and customer copilots, with zero data egress.
[In-region data]
100%
[Live AI agents]
9
[AI ops]
24×7
[ The Problem ]
Where the business was stuck.
Regional bank needed a sovereign, guardrailed AI platform to deploy agentic automation without data leaving the region.
[ Key Challenges ]
- ▸Regulatory requirement for in-region data residency
- ▸Concerns about hallucinations in financial workflows
- ▸No unified AI ops platform across business units
Our approach
How we engineered
the outcome.
STEP 01
In-region Azure landing zone with sovereign controls
STEP 02
Private LLM deployment with RAG on domain corpus
STEP 03
Guardrails + eval harness + human-in-the-loop for regulated flows
[ Solution highlights ]
Delivered — measured — in production.
- ✓9 production agents live across ops, risk and CX
- ✓100% of data stays in-region
- ✓Model drift and hallucination continuously scored
[ Tech stack ]
Built on Azure.
Azure OpenAI
AKS
LangGraph
pgvector
Langfuse
"
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