Loan management software
for Saudi Arabia lenders

These figures represent the upper bound of typical outcomes for SAMA-regulated lenders running conventional and Sharia-compliant products on HES LoanBox and GiniMachine. Specific client results range from 50% to 85% on operational cost reduction, from 15% to 70% Gini index uplift versus bureau-only scorecards, and from 2× to over 10× growth in application capacity without proportional headcount, depending on portfolio size, segment, and existing process maturity. Every figure is supported by both documented HES client outcomes and independent industry research.

60% cost reduction. Lending in Saudi Arabia means stitching Nafath, SIMAH, Yakeen, GOSI, and disbursement into one flow that removes rekeying from every retail file — automation is the only way to trim per-loan cost without breaking SAMA compliance. Wa'ed (Saudi Aramco Entrepreneurship Center) launched in the Kingdom in 4 months, cut decision-making time by 50%, and now delivers funds to a borrower's bank account in under 5 minutes. A Canadian lending client using HES LoanBox saved 12,500 worktime hours per year and processes applications 6× faster than before. CashU/Smart Finance auto-grants loans in under a minute, eliminating manual back-office work. Industry research corroborates this range: McKinsey's GCC banking report documents that automating back-end processes lets banks "use their human resources more efficiently" and sharply reduce operational costs. McKinsey reports cost-per-origination reductions of 30–40% from digital credit transformation, and Capgemini reports a reduction in manual steps of up to 70%.

3× scoring accuracy. A SIMAH bureau pull alone misreads salaried expats, new-to-credit Saudis, and SME owners with thin files — AI scoring layered on SAMA's Open Banking Framework closes that gap by reading live transaction signals the bureau cannot see. The South Asian Auto Lender case shows the Gini index rising from 0.4 to 0.75 (+87%) after GiniMachine implementation, with ROC-AUC reaching 0.88. MobiCom achieved Gini > 0.6 while reducing NPLs 4×. Zenziya maintains Gini ≥ 0.65 on a microlending portfolio with sub-minute decisions. McKinsey documents AI-powered underwriting models lifting accuracy across every credit segment by combining internal structured data, transactional behaviour, and external alternative data simultaneously — exactly the architecture SAMA's Open Banking ecosystem enables for Saudi lenders.

10× staff efficiency. Auto-pulling Iqama, GOSI subscription, salary letters, and Wathq records into one applicant file means underwriters and servicing agents stop rekeying — and start handling ten times more files without growing the team. Wa'ed doubled application volume (2× increase) after launching on HES LoanBox without a proportional increase in headcount — the same automation that halved decision times also absorbed the additional load. Idea Bank eliminated manual checks entirely — the entire POS lending process now runs without additional staff intervention. ID Finance reached 3 million users globally with 40,000 new customers joining weekly at 20–30% YoY growth, all on the same HES infrastructure. Industry research confirms this scalability: McKinsey's GCC banking report notes that "many back-end processes are still performed manually and subject to cumbersome procedural requirements" in GCC banks — and that "Gen AI and machine learning applications can automate an expanding range of complex back-office processes, sharply reducing operational costs." McKinsey's "Lending Revolution" documents leading banks dropping time-to-yes to 5 minutes and time-to-cash to under 24 hours, with most upside coming from cost efficiencies that scale without headcount.

Results vary by deployment, market segment, and existing process maturity. Figures combine documented HES FinTech client outcomes, SAMA and SIMAH published frameworks, and independent research from McKinsey and Capgemini.

HES LoanBox is meticulously designed to align with the principles of Sharia law, ensuring that all lending processes and products are compliant with Islamic finance standards. Our software provides a flexible framework that can be customized to adhere to the specific requirements of Sharia-compliant lending.

Yes, HES LoanBox seamlessly integrates with an extensive array of local services, including Wathq, SIMAH, Nafith, Elmm, and many others. This ensures adherence to local regulations and maximizes operational efficiency within the Saudi Arabian financial ecosystem.

We provide comprehensive support including initial setup, training for your team, and ongoing technical support. Our dedicated support team is available to assist with any queries or issues you may encounter.