Industries
Loan processing, verification, and analytics platforms built to pass the audit.
Since 2016 we have built a loan platform under pandemic deadlines, automated verification from intake to invoicing, migrated a financial analytics platform from a data center to AWS, and audited it against SOC 2 Type II evidence requirements. Each ships with the controls auditors expect.
The Challenge
What slows Financial Services teams down
Manual intake and verification
Loan requests arrive as email, data is re-keyed into core systems, field verification is unstandardized and hard to audit, and report generation delays push out turnaround times. Visibility into field executive activity and SLA tracking is limited.
Compliance evidence on demand
SOC 2 Type II auditors, data partners, and regulators expect documented controls, encryption standards, granular access control, and data-level audit logs. The gaps usually surface during the audit, not before it.
Infrastructure change while the business runs
Data center to cloud migrations and organizational restructuring introduce new infrastructure and new people with elevated access. Legacy authentication and unaudited API endpoints turn that transition window into the highest-risk period of the year.
AI in decisions that regulators review
NLP that extracts loan data, models that score risk, and agents that touch customer records need PII anonymization, role-based access, and a traceable record of what the model saw and produced.
How We Help
Use cases we have shipped in Financial Services
AI loan intake and field verification
The Kowtha Loan Verification Suite reads loan request emails with NLP and creates loan records automatically, gives field executives a mobile app for geotagged evidence capture with offline sync, validates data through rule-based workflows, generates bank-specific PDF reports, and automates billing and reconciliation.
Secure loan platforms delivered under deadline
For Cumberland River Financial Group we built a Paycheck Protection Program loan processing platform during the pandemic: a Django and React application on PostgreSQL with an AWS Workspaces backend, PII anonymization, secure S3 document uploads, role-based access control, and DocuSign and SBA API integrations.
Data center to AWS migration and managed operations
For Chaikin Analytics we lifted, shifted, and refactored the application infrastructure from a data center to AWS as part of a multi-year partnership that includes proactive monitoring, performance tuning, and rapid incident response.
Security audit and compliance readiness
Penetration testing of APIs, web, and mobile applications with CVSS-scored findings and remediation validation, SOC 2 Type II evidence packages, and readiness programs for third-party data partner requirements such as consumer credit data access.
Case Studies
Financial Services work we can talk about
Financial Services FAQ
Yes. The platforms we build sit alongside existing systems rather than replacing them. Loan intake reads from the email channels your teams already use, verification output is generated in the report formats each bank specifies, and the PPP platform integrated DocuSign and the SBA API directly. We map the integration points during assessment before any build starts.
SOC 2 Type II is the most common, followed by PCI DSS and GLBA controls and the security requirements imposed by data partners such as consumer credit bureaus. For AI components we map findings to NIST AI RMF and OWASP LLM Top 10. Deliverables are formatted as audit evidence so your compliance team can hand them over as-is.
PII is anonymized or tokenized before it reaches a model wherever the use case allows, data is encrypted in transit and at rest, access is role-based with purpose-of-use logging, and prompts and outputs that contain PII are written to an immutable audit trail with a defined retention period. The same pattern applied on the PPP platform and on the credit data pipeline we designed for a real estate analytics firm.
Yes. Managed operations is one of our three practices. For Chaikin Analytics we have run the infrastructure for several years, including the migration from a data center to AWS, proactive monitoring, and rapid response to incidents. Ongoing operations, backups, disaster recovery, and scheduled maintenance are scoped as part of the engagement.
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