AI built for financial institutions

Yes. Devonauts has worked with international companies before and takes on clients globally. Our pricing is quoted in US dollars, and the way we work, inside your systems and under your policies, is the same wherever your team is based.

With a large firm, you often brief an account team while the work is handed to engineers you never meet. At Devonauts, the senior engineers on your first call are the people who build your system. Our team understands high-risk, high-compliance environments, has built and worked on them globally, and works exclusively on AI. Every engagement receives a fixed quote after a 30-minute call, and every system in our portfolio is running in production today.

We build AI agents for the manual, document-heavy and rule-bound work found across payments, lending and banking. This includes document intelligence that reads and verifies bank documents, merchant and customer onboarding with KYC checks, reconciliation, voice agents that handle complete phone conversations, and production monitoring that delivers the root cause with every alert. Live examples include merchant onboarding at BillDesk, now at least 10× faster, and bank document processing at Neurofin at over 98% accuracy.

Yes. We work inside your cloud environment, code repositories and review processes, under NDA, and we are experienced with VPN-gated and access-controlled environments. Your data remains wherever your policies require it to stay, and each system is designed around your existing tools rather than replacing them.

We design for audit from the first day of an engagement. Every run of an AI agent is logged, decisions that require human judgement remain with your team, and your compliance and risk functions review and approve the system before it handles live traffic. Our team has built and worked on high-risk, high-compliance systems globally, so we understand the scrutiny these environments demand.

Your data is used solely to build, test and run your system. We never use client data to train AI models. Access is granted on a least-privilege basis, scoped to the specific workflow, and revoked when the engagement ends.

No AI system is perfect, so we engineer for errors from the outset. Before launch, we measure accuracy against your real cases using structured evaluations, and the system runs alongside your team before it takes on live traffic. In production, guardrails prevent the agent from acting outside defined limits, low-confidence cases are routed to your team for review, and continuous monitoring alerts us if quality drifts.

Every case your team reviews or corrects becomes part of the agent's test suite. We use those cases to refine the agent's instructions, rules and reference data, re-run the full evaluation set, and ship the update only when it passes. When a better or cheaper model is released, it has to pass the same evaluations before we switch. Your data is never used to train AI models: the agent improves from your feedback and your test cases, which stay in your environment.

Every engagement is scoped to your workflow, so we can only give you a number once we understand it. Book a 30-minute, no-commitment call, walk us through the problem, and we will come back with a fixed scope and a fixed price.

Most engagements reach a working prototype on your own data within two weeks, followed by six to ten weeks to a production launch, depending on scope and integrations. From your side, we need one person who owns the workflow and an engineer who can provide access to the relevant systems. You do not need an in-house AI team.

Yes. Our monthly maintenance plans keep systems accurate, fast and cost-efficient after launch. This includes accuracy and cost monitoring, re-running evaluations when your data or the underlying models change, moving to better or cheaper models as they become available, resolving issues before they affect your team, and scoping the next workflow when you are ready.

Yes. For teams still deciding where AI belongs, we map the relevant workflows end to end, identify the two or three opportunities where AI pays for itself first, validate the strongest one with a working prototype on your data, and provide a business case your leadership can approve. Where a simpler, non-AI solution is the better choice, we will recommend it.

You do, from the first day. All code, prompts, evaluations and documentation are created in your accounts and belong to you. If you choose to run the system in-house, we provide a clean, documented handover whenever you are ready.

We are model-agnostic and select the right model for each workflow based on accuracy, cost and where your data is permitted to go. That may be a hosted model from OpenAI, Anthropic or Google, or an open-source model deployed within your own cloud when data cannot leave your environment. Every system is built to fit your existing infrastructure.

Book a 30-minute call through our website and bring the workflow that is taking up your team's week. We will give you an honest assessment of whether AI can solve it, and if it can, we follow up with a fixed scope and a fixed price.