AI for Finance
Private AI solutions for risk management, compliance, and operational efficiency
Where finance AI gets hard
The constraints that decide whether finance AI reaches production instead of stalling as a demo.
- Regulatory Compliance
- Financial services face complex, evolving regulations. AI systems must maintain audit trails, explain decisions, and adapt to regulatory changes across jurisdictions.
- Data Security
- Financial data is among the most sensitive. AI systems must protect customer information, transaction data, and proprietary models with bank-grade security.
- Real-Time Processing
- Financial operations require millisecond-level responsiveness. AI systems for fraud detection, trading, and risk management must process data in real-time.
- Model Explainability
- Regulators and stakeholders require AI decisions to be explainable. Black-box models are unacceptable for lending, insurance, and compliance decisions.
What we build for finance
Risk Modeling & Assessment
Machine learning models that assess credit risk, market risk, and operational risk using broader data inputs and more sophisticated analysis than traditional methods.
Regulatory Compliance Automation
AI-powered monitoring and reporting for regulatory requirements. Automate KYC/AML checks, compliance reporting, and regulatory change management.
Fraud Detection
Real-time transaction monitoring using machine learning to detect fraudulent patterns, anomalies, and suspicious activities with minimal false positives.
Intelligent Document Processing
Automate processing of loan applications, insurance claims, financial statements, and regulatory filings using AI-powered document understanding.
Standards we build to
Every deployment is built to clear the bar finance operates under.
- SOX
- PCI DSS
- GLBA
- SOC 2
Finance work we have shipped
U.S. Insurance & Benefits Administrator
Convective rebuilt 33 core operational systems as modern Ruby on Rails and Temporal applications and validated each one against the original before cutover, using one AI model to generate the code and an independent model from a second vendor to review and verify it.
Read the full case study →Ford Motor Company
A CRM-integrated application for Ford that lets internal marketing teams create, approve, and deploy the campaigns printed on customer invoices across its dealership network.
Read the full case study →Ace Hardware
A Tips & Advice content portal for Ace Hardware that publishes DIY guides and project advice and connects them to the product catalog.
Read the full case study →Ready to explore AI for Finance?
Let’s discuss how AI can transform your finance operations.