Bilytica · Banking, insurance and finance
Trusted data and sovereign AI for Saudi banks, insurers and regulators
Banking & finance
Thank you for your time. This is Bilytica’s brief for banking, insurance and finance. We are a Riyadh-based data and AI company, and financial services is where we have done some of our deepest work: with the Saudi Central Bank, Najm and the Public Investment Fund here in the Kingdom, and with banks such as Nordea, Standard Chartered, DNB, SEB and Danske Bank abroad.
Every regulator, customer and board wants answers today
Here is what we hear from finance leaders. Supervisory returns are still assembled by hand. Fraud rules miss new patterns. The same customer looks different in every system. Customer data cannot go to public AI tools. Leaders ask in Arabic, but tools were built in English. And a simple new question can take days. Underneath all of it is the same problem: the data.
Fix the data, then the AI
Without clean data, the same customer is counted three times, Risk and Finance disagree, figures cannot be traced, and an AI assistant can expose data a user should not see. With our trusted data layer, there is one golden customer record, certified metrics, every figure traced to its source, and access rules enforced on every AI query.
What we build
These are the use cases we deliver most often in finance, each proven with a named client or a client under NDA: regulatory reporting, fraud and AML analytics, Customer 360 and churn, credit risk scoring, asking your data in Arabic with Sawal, and claims and document AI for insurers.
Supervisory reports in a fraction of the time
A central bank in the Gulf assembled supervisory reports by hand. We built one governed warehouse with automatic reconciliation. The result: 85 percent less time to produce supervisory reports, and every figure traces back to a filed return.
From days in a queue to seconds, in Arabic
At a Tier-1 Saudi bank, one liquidity or credit question took three to nine working days. With Sawal on the bank’s own warehouse, treasury and risk questions now take a median of 3.4 seconds, a 96 percent cut, and two SAMA IT-risk audits found zero findings on Sawal.
Faster claims with computer vision
Najm runs motor accident management across Saudi Arabia. We joined its claims, finance and accident data and added computer vision that analyses accident images automatically. Claims processing moved from days to hours.
Trusted in the sector
Some of the financial institutions we have worked with: the Saudi Central Bank and PIF in the Kingdom, and Nordea, Standard Chartered, DNB, SEB, Danske Bank and the State Bank of Pakistan abroad.
Sovereign by design
Regulation is designed in from day one. Our solutions run inside the Kingdom, on HUMAIN, in your own cloud or fully on premises. Every AI query obeys the same access rules as the source system. Every answer is logged with its metric, query and user. And with Burhan, you can prove PDPL and NDMO compliance on your actual data, not just on paper.
Let’s find your first AI win
Here is the next step. We don’t start with a big programme. We start with one focused workshop with your business, IT and risk leads. Together we pick the use case that matters most, prove it in a pilot on your own data, and then scale it with full support. You can reach us at sales@bilytica.sa. Thank you.
