NeoTek Solutions builds AI for financial services and insurance: document intake, fraud and anomaly detection, claims triage and compliance support. We work with banks, credit unions, lenders, wealth managers and insurers across Middle Tennessee and the US, from our Nashville headquarters. Underwriters, adjusters and analysts make every final decision, and we document each model so your risk and compliance teams can review what we built.

The institutions we work with face the same test with AI. It has to improve service and efficiency, and it has to satisfy regulators, auditors and customers.


The Pressures Financial Institutions Face

The institutions we serve carry heavy document loads, rising fraud and constant regulatory change. Customers expect fast digital service, yet onboarding and claims still run through many manual steps, and compliance teams have to keep up with new rules and internal policies.

We build AI for that work while treating its risks as design requirements: biased models, unexplained decisions and data exposure. Regulators expect careful model management, so we build every solution to fit inside your risk and compliance framework.


How Can AI Help Banks, Credit Unions and Insurers?

Document Intake and KYC Support

Problem Onboarding staff review IDs, statements, tax forms and business documents by hand.

What AI does We build document AI that extracts key fields, checks them for consistency and assembles a know-your-customer (KYC) file.

Human in the loop We route flagged items to your onboarding and compliance staff, who approve every account.

Fraud and Anomaly Detection

Problem Rule-based systems miss new fraud patterns and create many false alerts.

What AI does We build machine learning models that score transactions, applications and claims for unusual patterns, with reasons for each score.

Human in the loop We route alerts to your fraud analysts, who investigate and decide on holds, closures or reports.

Underwriting Assistance

Problem Underwriters spend much of their time gathering and summarizing information.

What AI does We build generative AI that pulls data from applications and supporting documents and drafts a summary with flagged risks.

Human in the loop We design the summary so it never approves or declines, and your underwriters make every credit or coverage decision.

Insurance Claims Triage

Problem Claims arrive unsorted, so simple claims wait behind complex ones.

What AI does We build models that classify incoming claims by type, complexity and potential fraud signals, then route each to the right queue.

Human in the loop We leave every claim decision with your adjusters, who can override any routing.

Compliance Monitoring and Policy Q&A

Problem Staff struggle to find the current policy, and compliance teams review communications manually.

What AI does We build retrieval-augmented generation (RAG), which grounds answers in your approved documents, to answer policy questions with citations and flag communications for review.

Human in the loop We design it so your compliance officers own the policies, review flagged items and decide on any action. Learn more about RAG for financial policy questions.

Customer Service Assistants

Problem Contact center agents search many systems to answer account and product questions.

What AI does We build on a large language model (LLM), an AI model that reads and writes text, to suggest answers from approved content. We also let it handle simple requests through secure channels.

Human in the loop We route disputes, complaints and account changes that carry risk to your trained staff.

Model Explainability and Monitoring

Problem Examiners and internal reviewers need to know why a model produced a result.

What AI does We build in explainability that shows which factors drove each output, and monitoring that tracks drift, bias and performance over time.

Human in the loop We hand those reports to your model risk and validation teams, who approve every model change.


Data, Security and Compliance Considerations

We design financial services AI to fit within your existing compliance program:

  • Privacy requirementsWe design data handling for requirements such as the Gramm-Leach-Bliley Act (GLBA) and your privacy policies.
  • Model risk managementWe document model purpose, data, testing, limits and monitoring to support your model risk management expectations and validation process.
  • Fair lending and bias reviewWe test models for disparate outcomes and support your compliance team’s review.
  • Security and accessSolutions run in your controlled cloud tenant on Azure, AWS or Google Cloud, or on-premises. Role-based access and audit logs are standard.
  • Vendor oversightWe help you assess model and cloud providers as part of your third-party risk process. Your data is never used to train public models.

We do not provide legal or regulatory advice. Your compliance and legal teams set requirements, and we build to them. Learn more about our AI governance, security and compliance service.


How Can NeoTek Solutions Help Your Institution?

Your examiners and your customers judge the same system by different standards. We build so it holds up to both.

  • Work we deliverDocument intake and KYC support, fraud and anomaly detection, underwriting and claims triage assistance, policy question answering with citations and model monitoring.
  • Built on your systemsWe integrate with your core banking, policy administration, loan origination and document systems through the interfaces and exports they already support.
  • Built for examinationWe document each model’s purpose, data, testing, limits and monitoring, and we build explainability in, so your validation team and examiners can see why an output appeared.
  • How we workShort cycles with AI-assisted delivery and human review, with success criteria agreed early, so your risk team sees evidence on real cases instead of promises.
  • Skills on the teamAI and machine learning engineers, data engineers, cloud and security specialists and QA in one team, working to the documentation standards your reviewers expect.
  • What makes us differentWe use AI in how we build, not only in what we build, so the documentation, tests and evidence your reviewers want arrive with the system itself.

Your compliance and legal teams set the requirements, and we build to them. Book a free AI consultation to review one workflow and what it would take.


How Do Financial Institutions Start With AI?

  1. Assessment

    We review your goals, data, systems, controls and risk appetite. Then we rank use cases by value and regulatory complexity.

  2. Focused proof of concept

    We build one use case, often document intake or policy Q&A, in a controlled environment with full documentation.

  3. Production

    We complete security and model risk reviews, integrate with your systems, set up monitoring and train staff.


Related Services


Frequently Asked Questions

Will the AI you build make lending or claims decisions?

No. We build AI that drafts, scores and summarizes, and we put the decision point with your people. Underwriters, adjusters and analysts review the output and make every credit, coverage and claims decision.

How do you handle model risk management?

We document each model’s purpose, data, testing, limitations and monitoring plan, and we hand that package to your validation team. Final approval stays with your institution.

Do you use our customer data to train AI models?

No. We deploy in environments you control, with access limits and audit logs, and we never let your data train public models. You own what we build.

Can you explain why a model flagged a transaction?

Yes. We build explainability into every fraud, risk and triage model we deliver, so each result shows the main factors behind it for your analysts and examiners.

Do you help with GLBA compliance?

We design data handling for requirements such as the Gramm-Leach-Bliley Act and build within your compliance program. We do not give legal advice or certify compliance; your compliance and legal teams make those calls.


Build AI Your Regulators Can Understand

See which use cases fit your institution, your data and your risk framework. Book a free AI consultation or take the free AI readiness assessment.