AI in financial services that satisfies your auditors.
AI for the work that defines finance: fraud detection, document automation, assistants, and risk, under the controls regulators and auditors expect. The difference between a demo and a deployed system is governance, and we build it in.
What we deliver
Production AI for banks, fintechs, and financial firms, documented and explainable for risk and compliance.
Fraud & anomaly detection
Flagging unusual transactions and patterns for human investigation, with logging and explainability.
Document & application automation
Extracting and processing the documents behind onboarding, lending, claims, and KYC, with humans reviewing exceptions.
Customer & advisor assistants
Grounded assistants that answer from approved sources, reducing handle time without inventing answers.
Risk & operations support
Helping teams analyze, summarize, and act on data faster, with the model's role documented and controlled.
Process automation
Taking repetitive, judgment-heavy back-office work off people's plates.
Built to pass a security review
AI fails in regulated environments when security and governance are an afterthought. We build them in from the first commit.
Built for buyers who answer to auditors
Government and regulated commercial teams that need AI that is accurate and safe, not a demo that hallucinates.
Boutique accountability with enterprise-scale capacity.
A senior Sthenos lead owns your engagement and engineers AI to be grounded and controlled rather than impressive and unreliable. When a program needs scale, our partner NeoSoft Tech adds enterprise delivery capacity, attributed accurately. You get the focus of a boutique and the reach of an enterprise.
Credentials
AI in financial services questions
Is AI compliant in financial services?
AI can be deployed compliantly when it is built with access controls, audit trails, explainability, human review for consequential decisions, and documentation for risk, compliance, and examiners. Compliance is an engineering and process question, not just a model choice.
What is the best first AI use case for a bank or fintech?
Often document and application automation or a grounded internal assistant: clear value, available data, and a risk profile that is straightforward to govern.
How do you stop AI from making things up in finance?
By grounding it in approved data with retrieval, adding guardrails, keeping humans in the loop for sensitive output, and testing, so answers are based on real sources.
Can you integrate AI with our core systems?
Yes. We connect AI to your applications, data, and workflows through real APIs and pipelines, with the security that financial environments require.
Tell us the outcome you need, and we will tell you how to deliver it accurately and compliantly.
A senior Sthenos engineer will scope your use case and the path to production.
Book a consultation
