AI for finance: scoring, antifraud, real-time recommendations

Use AI in finance for accurate forecasts, scoring, report automation, and better decision-making.

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
+10clients · View cases →

We develop scoring, fraud prevention, and credit analysis models.

Integration with ERP and BI delivers analytics and automated actions, not guesswork. In finance, there is no time to just watch the numbers.

- need instant risk assessment and action recommendations

We implement AI models that do more than calculate - they prevent. AI for finance: scoring, antifraud, real-time recommendations

Automated scoring and risk assessment

AI models analyze behavior, payment history, and deal context. Decisions on loans, limits, and blocks are made instantly and accurately.

Real-time fraud prevention

The system tracks anomalies in transactions, logins, and behavior patterns, then triggers checks. This reduces loss risk and blocks schemes before damage occurs.

Integration with ERP, CRM, and BI systems

AI does not work in isolation - all data is passed to other systems for decision-making. Customer, deal, and counterparty assessment is built into the workflow.

Higher margins through personalized recommendations

AI suggests tailored terms, products, and scenarios for each customer. This increases conversion, retention, and transaction profitability.

Efficiency and growth in one solution

  1. From disconnected systems to a unified model with full visibility into the production cycle. The solution includes:

  2. We connect IoT sensors, SCADA, ERP, and MES into one model - capturing everything from vibrations to defects

  3. We visualize production lines, utilization, deviations, and downtime

  4. We train an ML model on events to predict failures, bottlenecks, and inefficiencies. Business results:

  5. Management sees an exact, not aggregated, view of production status

  6. It becomes possible to predict and prevent breakdowns

  7. Productivity grows, downtime drops, and equipment runs reliably Solutions without unnecessary complexity, from idea and analysis to results

Assess where AI can deliver impact in your process

We will study your processes and propose a ready-to-use implementation plan

  1. We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  2. We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

  3. We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  4. Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

AI for finance, built by practitioners, not theorists

We implement AI models for scoring, anti-fraud, and personalized recommendations. Decisions are made in real time - risks go down, margins improve. 2-3 months - launch of a scoring model on production data 15+ projects delivered in banks and fintech 40% reduction in fraudulent transactions thanks to ML analysis 90% scoring accuracy on customer data Customer reviews

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