Finance by Industries | Gart – Operating Platform for Enterprise AI Apps

AI apps to transform banking, payments, and insurance operations

From customer support to compliance, Gart helps financial institutions launch AI apps in weeks — not months — for faster innovation, stronger controls, and leaner operations.

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Overview of solution

Financial services are under pressure: demanding customers, heavy compliance requirements, and legacy IT that slows down innovation. Traditional automation (RPA, ERP modules, legacy bots) often fails to keep pace with regulatory changes, new products, or shifting customer expectations.

‍Gart delivers AI-native apps purpose-built for financial services — designed to automate complex processes, enhance compliance, and create seamless customer experiences. Apps integrate directly into CRM, ERP, core banking, and payment systems, and adapt as your business evolves.

Finance Use-Cases

Investment Research

AI copilots for analysts — surface insights from filings, news, and market data in seconds.

Onboarding and KYC

Transform customer workflows by automating ID checks, AML screening, and document processing, reducing friction for both customers and staff.

Financial Advisory

AI advisors that generate personalized recommendations, automate portfolio reporting, and support advisors with real-time insights.

Risk & Compliance
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Continuous transaction monitoring, fraud detection with explainable AI, and automated regulatory reporting.

Customer Support & Retention

AI reception and agents for dispute resolution, account servicing, and proactive churn-prevention campaigns.

Debt Collection
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Smart debt recovery apps that adapt tone, timing, and offers to maximize repayment while preserving client trust.

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Architecture: How Gart Apps Work

Gart is a platform for building AI-native apps that connect directly into telecom business processes. Our apps can be deployed across multiple channels — CRM, OSS/BSS, mobile apps, web portals, email, or messengers — and scale seamlessly across the organization.

Key technical components:

LLM Orchestration Layer

Ьanages tasks across AI apps, agents, and external services.

Memory & Context Engine

Personalizes interactions based on customer history and process context.

Workflow Manager
‍

Creates and adapts business processes using graphical flowcharts or natural language instructions.

Integration Layer
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Direct connectivity to CRM, ERP, BSS/OSS, payment, and logistics systems.

RAG Data Layer
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Brings enterprise knowledge, documents, and data into AI app responses and actions.

Monitoring & Feedback

Analytics, dashboards, and optimization for continuous improvement.

Secure, scalable AI-native apps
for the future of Finance

Regulatory agility

Adapt instantly to new compliance requirements.

Faster customer onboarding

Reduce KYC & account setup time by up to 70%.

Cost efficiency

Cut manual workload in back office and compliance teams.

Customer trust

Deliver transparent, reliable, personalized experiences.

Feedback from our beloved Clients

We help teams unlock productivity by automating routine and creating AI Assistants. Discover how others transformed their workflow.

FMCG brand

Head of L&D department

"With Gart, we built an AI-powered simulator for our L&D team that replicates real sales conversations. Reps practice in real time, get instant feedback, and improve fast. The AI adapts to their responses and helps us scale training without extra resources. It's been a game changer for onboarding and performance."

Viktor Vorontsov

Sr. IT Project Manager | Digital Transformation Consultant

"We process hundreds of CVs weekly. With Gart, our AI assistant screens resumes, chats with candidates, and shortlists top talent automatically. It cut our time-to-hire by 40% and freed up recruiters to focus on interviews, not admin."

Jason Smith

Operation Director at Medex

"Gart helped us automate patient lead qualification. The AI chats with potential patients, collects key info, and routes them to the right doctor — all in minutes. We've reduced manual work by 80% and significantly improved response times."

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