S‑PRO is a Certified partner in the Claude Partner Network: what it means for banks and fintechs

In short: S-PRO is a Certified partner in the Claude Partner Network. Our team includes Claude-certified engineers and architects who help banks, wealth managers and fintech companies take AI from a promising demo to a reliable, compliant system in production. We are headquartered in Zurich and certified to ISO 27001 and ISO 27701.

Many financial institutions have already tested large language models. Far fewer run them in production on real customer and compliance workflows. The gap is rarely the model itself. It is architecture, data access, security reviews, evaluation and the hundreds of small decisions that make an AI system something a regulator, a risk officer and a customer can trust. That is the work we do.

What is the Claude Partner Network?

The Claude Partner Network is Anthropic’s programme for consultancies and system integrators that help organisations adopt Claude. Partners are recognised by tier, based on the certified expertise of their teams and their delivery work with customers.

S-PRO is a Certified partner in the Claude Partner Network. For our clients this means one simple thing: the people designing and building your Claude-based solution have been trained and certified on how to build with Claude.

What this means for banks and fintechs we work with

• Certified people on your project. Our team includes Claude-certified engineers and architects, so prompt design, tool use, agent orchestration and evaluation follow proven patterns rather than trial and error.
• Financial services experience. Since 2014 we have built digital banking, wealth, payments and digital asset platforms for regulated institutions in Switzerland, the EU and the US. We know what a bank’s security, risk and compliance teams will ask, and we design for those questions from day one.
• Security built in. S-PRO is certified to ISO 27001 (information security) and ISO 27701 (privacy information management). Access control, data minimisation, logging and audit trails are part of the architecture, not an afterthought.
• Deployment that fits your setup. Claude is available through the Anthropic API and through cloud platforms such as Amazon Bedrock and Google Cloud Vertex AI. We help you choose the option that matches your data, hosting and outsourcing requirements.

Where Claude creates value in financial services

We focus on processes where language-heavy work meets clear rules and measurable outcomes:

• Customer service: AI agents that read, classify and draft answers to support tickets, with a human in the loop for sensitive cases. See Support Center Optimization.
• Regulatory change and compliance: monitoring new regulations, summarising what changed and mapping it to internal policies and controls. See RegRadar.
• KYC and onboarding: reviewing documents, extracting data and flagging gaps so analysts spend their time on decisions, not copy-paste.
• Internal audit: comparing strategy, policies and evidence to surface inconsistencies faster. See Internal Audit AI.
• Software delivery and legacy systems: AI-assisted engineering that speeds up feature delivery and makes legacy code easier to understand and change safely. See AI-native SDLC and Core & Legacy Modernization.

How we take a Claude use case to production

1. Pick the right process. We start with one workflow where the value is measurable and the risk is understood, and agree on success metrics up front.
2. Design the architecture. Data sources, access rights, deployment option, logging and human review points are defined before anything is built.
3. Prototype in weeks. A working prototype on real (anonymised where needed) data shows what the model can and cannot do in your context.
4. Evaluate and add guardrails. We test against curated cases, measure quality and failure modes, and add controls such as source citations, confidence thresholds and escalation to people.
5. Run it in production. Monitoring, feedback loops and documentation that your risk, compliance and audit teams can work with.

Why this matters in Switzerland and the EU

Banks in Switzerland and the EU need more than a good model. They need clear data flows, documented outsourcing arrangements, explainable decisions and audit trails that hold up in front of supervisors. Being headquartered in Zurich and working with regulated institutions every day, we build Claude-based systems with these expectations in mind from the first workshop.

Planning an AI agent for your bank or fintech? Talk to our team and we will help you choose the right first use case.