In Operations, AI-powered automation enhances efficiency by optimizing workflows and decision-making. For example, AI predicts demand trends, enabling smarter inventory management and automatic stock reordering.
Real-time data analysis through AI-powered dashboards provides actionable insights, allowing teams to address bottlenecks and improve processes dynamically. These advancements empower teams to focus on innovation and strategy rather than routine tasks.
In the world of modern finance, not all transactions are created equal. Companies handling payments and customer financing have to choose between multiple providers - banks, fintechs, BNPLs, factoring or credit institutions. The problem? Each has different acceptance criteria and financing terms.
Our no-code/low-code platform uses AI and machine learning for intelligent payment routing to automatically select the most optimal provider for each transaction - maximizing the chances of financing and optimizing costs.
Payments that always go through - without unnecessary rejections.
AI analyzes the transaction and assigns it to the provider with the highest probability of acceptance.
Analysis of each provider's scoring, payment history, risk level and underwriting rules.
Dynamic routing directs transactions to where financing is cheapest.
Modern companies are drowning in documents - invoices, contracts, orders, reports. Manual processing of information is a time-consuming, costly and error-prone process.
Our no-code/low-code platform uses Generative AI and intelligent document processing (IDP) to automatically digitize documents, extract key information, link them to external databases and optimize workflows - all without coding.
Documents without chaos - complete workflow automation.
OCR and AI extract key data from invoices, contracts, reports.
AI dynamically creates content based on given parameters.
Automatic verification of a company by VAT number in government databases.
ERP, CRM, data warehouses, internal records.
Traditional risk assessment in credit and insurance is a long, expensive and error-prone process. In B2B, where large sums of money and complex financial structures are involved, a quick and accurate decision can mean billions of dollars in contracts.
Our no-code/low-code platform uses AI Agents and machine learning to assess credit and insurance risks, speeding up the underwriting process and making decisions more effective - without the need to manually analyze hundreds of pages of documents.
Fast, accurate and intelligent risk assessment - without manual work.
Analyze cash flow, liabilities, assets, repayment history and mortgages.
AI analyzes hundreds of parameters in seconds.
Determine whether a customer or company is acceptable for insurance.
Records of debts, tax liabilities, assets.
Data is the new currency of business, but inconsistent, incomplete and scattered information leads to wrong decisions. Many companies still rely on Excel as their main repository, which increases the risk of errors, hinders analysis and limits scalability.
Our no-code/low-code platform allows companies to automate data quality management (DQM), centralize it in one place and eliminate manual operations - all without coding.
Your data, your control - no Excel, no errors.
Eliminate duplicates, fill in gaps, standardize formats.
No more scattered Excel files and manual merging.
AI detects anomalies and irregularities, ensuring correctness.
Data goes where it's needed, without manual work.
Companies use many sources of data - CRM, ERP, banking, e-commerce systems, accounting reports. When data disagrees, manually detecting and explaining the differences is time-consuming, costly and error-prone.
Our no-code/low-code platform uses AI and automated workflows to reconcile data, detecting inconsistencies, pinpointing their causes and suggesting solutions - all without coding.
Automatic reconciliation - faster, more precise, error-free.
CRM, ERP, banks, e-commerce, accounting systems.
AI detects differences in transactions, reports, balances, invoices.
The system suggests corrections, triggers workflows and eliminates the need for manual analysis.
All systems work on synchronized data.