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AI Banking Solutions for Governed, Omnichannel Financial Operations

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Scale AI across banking without compromising oversight

Banks lose ground when AI runs without policy controls. Neontri delivers agentic AI that enforces institutional rules in fraud, compliance, and customer engagement.

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Governed, omnichannel AI
built around your banking policies

Policy-governed agentic procedures

AI agents navigate complex interactions beyond rigid scripts. They adapt to non-standard situations while remaining aligned with institutional requirements.

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Omnichannel agent interactions

Across voice, chat, and messaging, agents conduct proactive outreach for collections, scheduling, and customer engagement. Each exchange follows the bank’s communication protocols.

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Real-time multilingual interpretation

Live language support during phone and branch interactions reduces routing delays and reliance on external interpreters.

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Unified AI for banking operations

Customer-facing and employee-facing AI operate within a shared architecture, giving teams consistent controls, audit trails, and monitoring for service, compliance, knowledge, and risk workflows.

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Extend AI into banking channels without compromising policy control

DISCUSS YOUR AI USE CASES

AI banking solutions for fraud, credit, compliance, and customer operations

Fraud and financial crimes detection

We combine machine learning, LLMs, and agentic AI where appropriate to accelerate detection and scale crime management in banking operations. The model approach is selected according to transaction volumes and risk profile.

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Credit risk decisioning

Across the lending process, our team designs AI-driven credit decisioning to improve speed, accuracy, and consistency from application intake through final determination.

Automated model documentation and governance

For complete and consistent model records, we automate documentation throughout the ML life cycle, reducing manual effort and maintaining evidence for compliance and regulatory review.

AML scenario automation

Our engineers transform static AML rules into executable scenarios using agentic AI. The approach reduces alert noise, speeds up risk response, and produces documentation suitable for audit.

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AI-powered customer complaint
resolution

When complaint volumes rise, we deploy LLMs, generative AI, and machine learning to improve response speed, consistency, and auditability at scale.

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AI consulting for existing banking stacks

We scope, configure, and deploy AI around your technology, integrations, policy parameters, and success criteria. Your team gets a clear view of planned changes, retained systems, and AI responsibilities.

Our partners

Neontri is an IBM Gold Partner Neontri is a Google Cloud Partner Neontri is an AWS Partner Neontri is a Snowdrop Solutions Partner Neontri is a MongoDB Partner

Trusted by financial services teams

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“A solution co-developed with Neontri has reduced the number of queries directed to the central system, resulting in lower infrastructure costs and customer service time.”

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Piotr Durakiewicz

Team leader – departament of electronic banking applications

“The IT specialists they provided possessed the necessary experience and required competencies. We recommend Neontri as a trustworthy and reliable business partner.”

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Wojciech Moraczewski

Senior Manager

“Neontri’s execution and deep understanding of corporate processes made our project remarkably smooth. Their extensive enterprise experience delivered impressive results from solution to implementation.”

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Patryk Dąbrowski

Head of Software Development

“Neontri stood out with their commitment, technical competence, and understanding of KIR’s business needs.”

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Robert Trętowski

Vice president

Don’t let unclear controls derail AI delivery. Define the scope, integrations, and responsibilities upfront.

BOOK A 30-MIN CALL

How Neontri delivers
AI banking engagements

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01

Discovery and compliance mapping

We assess existing systems, integration points, and regulatory obligations before setting the final scope.

02

Architecture and security review

A scalable, auditable technical design is validated against applicable requirements, with key decisions documented from the start.

03

Iterative build

Delivery moves in incremental cycles. Performance, security, and agreed controls are reviewed throughout.

04

Testing and regulatory validation

We test the system under production load, covering functionality, model governance, and audit readiness.

05

Launch and scale support

After go-live, ongoing coverage addresses uptime, capacity, and changing compliance needs, ensuring a reliable base for future expansion.

Bring governed AI into banking operations with Neontri engineers

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