AI for Financial Services

AI that survives your
compliance review.

Custom AI agents, generative AI, and risk models for banks, wealth managers, and fintechs — engineered for audit trails, model risk management, and pilot-to-production speed.

Book a 30-min opportunity callSee case studies
70%
faster customer-service response
60%
reduction in support cost
95%
CSAT after AI rollout

High-value use cases

Where financial services teams see the biggest AI ROI — and where we've shipped them.

Fraud & AML detection

Graph-based and behavioural models that catch novel patterns without drowning ops in false positives.

Credit scoring & underwriting

Explainable ML models for consumer, SME, and specialty lending with full model risk documentation.

Wealth & research copilots

RAG-powered agents that summarise filings, model portfolios, and draft client-ready commentary.

KYC / onboarding automation

Document intelligence + agent workflows that cut onboarding time by 60-80%.

Trade surveillance

NLP models flagging market abuse across voice, chat, and email with SAR-ready evidence packs.

Client-service GenAI

Grounded chat assistants for retail and private banking with policy guardrails and escalation.

Services we bring to financial services

Custom AI AgentsGenerative AI & LLM SolutionsPredictive Analytics & Data ScienceMLOps & Managed AI

FAQ

The questions financial services leaders ask us on the first call.

How do you handle model risk management (SR 11-7 / SS1/23)?+
Every model ships with a full documentation pack: purpose, data lineage, performance benchmarks, back-tests, sensitivity analysis, and monitoring plan. We work alongside your MRM team from day one, not at go-live.
Can we deploy LLMs without data leaving our tenant?+
Yes. We deploy open-weight models (Llama, Mistral, Qwen) inside your Azure/AWS tenant, or via private Bedrock/Vertex endpoints. Nothing crosses your VPC boundary.
What is a realistic pilot timeline?+
30-day discovery + business case, then a 6-10 week production pilot with a clearly bounded scope. Enterprise rollout follows once value is proven.
Do you cover GDPR, DORA, and EU AI Act?+
Yes. Data processing, model classification (limited/high-risk), and third-party AI dependency mapping are part of the delivery, not an afterthought.

Ready to move an AI use case into production?

30-minute call, no pitch — we'll pressure-test your target use case and walk you through what pilot-to-production looks like for financial services.

Book your call