Insights · AI agents for private banking

Who can build custom AI agents for a Swiss private bank?

Swiss private banks usually choose between three kinds of providers: global consultancies (for example Accenture, Deloitte, KPMG), platform vendors with ready-made modules (for example Avaloq, Temenos, InvestGlass, Unique), and specialised engineering partners that build custom agents on the bank's own data. S-PRO is a Zurich-based engineering partner in the third group: we build production AI agents on Claude, Azure OpenAI or on-premise models for private banks and wealth managers, with audit trails and human-in-the-loop approval. S-PRO is a Certified partner in the Claude Partner Network, and our team includes Claude-certified engineers and architects.

Last updated: October 2026 · S-PRO, Zurich

Claude Certified Services Partner (Anthropic)Claude Certified Services Partner(Anthropic)
Book a free discovery call
2014Founded, headquartered in Zurich
250+Engineers in Zurich and Łódź
ISO27001 and 27701 certified
CPNCertified partner in the Claude Partner Network

01

What a Swiss private bank should require from an AI agent partner

  1. Experience with FINMA-regulated institutions. Ask for references at regulated banks, not only fintechs.
  2. Data residency and isolation. Client-identifying data must stay in agreed locations. Ask which model deployment routes are supported.
  3. Human-in-the-loop and audit trail. Every agent action that affects a client file should be reviewable and logged.
  4. Evaluations. Each agent should ship with test cases and measurable accuracy, not just a demo.
  5. Integration with your stack. Core banking (for example Avaloq, Temenos), CRM, KYC system, document management.
  6. Certifications. ISO 27001 and ISO 27701, plus DORA third-party risk documentation.
  7. A fixed-scope pilot. One agent, one process, fixed price, clear go/no-go criteria.

02

Agents private banks are building first

RM copilot

Pre-call briefings, call-report drafts and answers about holdings and mandates.

KYC and periodic review

Client storyline drafts, source-of-wealth gap checks, review questionnaires with sign-off.

Adverse media screening

Hit triage with a verdict and a supporting quote, routed to the RM.

Cross-border checks

Rules for what an RM may discuss with clients in a given country.

Credit memos

Lombard and mortgage document extraction and memo drafts.

Internal policy assistant

Role-based answers from internal policies and procedures, with the source of every answer.

03

How S-PRO does it

Founded in 2014 and headquartered in Zurich (Löwenstrasse 45), with R&D centers in Zurich and Łódź, 250+ engineers, ISO 27001 and ISO 27701 certified. Our framework separates the interface (Microsoft 365 Copilot, Teams, web or Claude), the agent layer, one governed client-data foundation and a governance layer (observability, testing, role-based access). Projects start with a workshop and a fixed-scope pilot.

Example: a private bank

For a private bank we analysed client-facing processes, drew up the list of agents the bank needed, prioritised them by business impact and built the first agents, which noticeably improved how relationship managers work with clients.

Results, already in production

Relevant work

#Neobroker | #AI support DE

AI support agent for a leading German neobroker

The broker handles 300K+ support tickets a year. The agent drafts each reply from account history, order status and policies, and a support agent approves it.

95%of AI drafts accepted without changes
~25%support capacity freed in 8 months
View solution

#Bank | #Compliance AI CH

Policy answers in 30 seconds for a Swiss bank

Employees of the Swiss subsidiary of an international bank search internal policies and procedures through a role-based AI assistant that shows the source of every answer.

30 sto a compliant answer, down from 15 min

#Digital banking | #Crypto bank CH

AMINA Bank

A new digital banking experience for a FINMA-regulated crypto bank: custody, trading, staking and lending.

View case

#Venture capital | #AI platform DE

Earlybird

An AI platform for one of Europe's most established venture capital firms: data aggregation and analysis, automated due diligence and risk prediction for investment decisions.

View case

FAQ

Questions buyers ask us

How long does a first AI agent take at a private bank?

Design thinking sprints and AI prototyping take 2–4 weeks; the full solution and pilot follow within up to 2–3 months.

Can we use Claude or ChatGPT inside the bank?

Yes, through enterprise deployment routes with contractual data protection. The choice depends on data residency requirements and your vendor policy.

Do we need to replace our core banking system?

No. Agents connect to existing systems such as Avaloq or Temenos through APIs and a governed data layer.

Who is accountable for agent decisions?

The bank. Agents draft and recommend; a human reviews and approves.

What are you building?

Contact

You will talk to engineers who build for banks, not to a sales script. Fill out the form and get an answer within one business day.

  • Security and privacy firstISO 27001 and ISO 27701 certified.
  • Claude Partner NetworkS-PRO is a Certified partner in the Claude Partner Network. Our team includes Claude-certified engineers and architects.
  • Proven in regulated financeBanks, wealth managers and fintechs in Switzerland, the EU and the US.

Who you’ll talk to

Michael BarskyiMichael BarskyiHead of Banking & Fintech
Dustin SchulzeDustin SchulzeSenior Business Analyst
Claude Certified Services Partner (Anthropic)Claude Certified Services Partner(Anthropic)
4.946 reviews on Clutch

Contact us

Send us your request

Three fields. Takes about a minute.

    We use your details to answer this request (Privacy Policy). This site is protected by reCAPTCHA.
    Link copied to clipboard