Insights · Regulatory reporting automation

When should a bank build regulatory reporting automation with a development partner instead of buying reporting software?

Claude Certified Services Partner(Anthropic)

Short answer. Buy a reporting product when your reports are standard filings (for example EBA COREP/FINREP in the EU) and your data is clean enough to feed it. Build with a development partner when the hard part is your data: many source systems, several jurisdictions, bespoke internal and management reports, or evidence demands that a vendor format cannot meet. In both cases the useful role for AI agents is narrow: tracing data lineage, preparing reconciliations and drafting commentary. A named person approves every figure, and the system logs the whole chain. S-PRO, a Swiss engineering firm headquartered in Zurich (founded 2014, 250+ engineers), builds this layer around a bank's existing reporting engine; it does not sell a reporting product.

Last updated: 22 October 2026 · S-PRO team

2014Founded, headquartered in Zurich

250+Engineers in Zurich and Łódź

ISO27001 and 27701 certified

CPNCertified partner in the Claude Partner Network

What does "regulatory reporting automation" cover?

Four steps, bought or built separately:

Collect: pull data from core banking, ledger, risk, treasury and client systems.
Transform and validate: map data to the regulator's templates, run validation rules and reconciliations.
Review and sign off: explain variances, record who approved what.
Submit and archive: produce the filing in the required format, keep the evidence.

Reporting software usually covers steps 2 and 4 well. Most of the project risk sits in steps 1 and 3.

Which regulatory anchors matter in Switzerland, Germany and the US?

Each source below is a primary or official page. Verify the current version before you plan a project.

Basel Committee, BCBS 239. The BIS paper "Principles for effective risk data aggregation and risk reporting" was published on 9 January 2013. It addresses banks' capacity to gather risk data and report on risk. BIS says implementation will strengthen risk management at banks, in particular global systemically important banks (G-SIBs). How your supervisor applies it to other banks is a question for your compliance function.
Switzerland, FINMA. FINMA Circular 2023/1 "Operational risks and resilience – banks" has been in force since 1 January 2024 and includes ICT risk management and a chapter on critical data. Its critical-data section expects confidentiality, integrity and availability to be ensured over the data life-cycle. The circular does not prescribe reporting software. Where AI is used in the process, FINMA Guidance 08/2024 (18 December 2024) is supervisory guidance on governance and risk management for AI, not a statute.
EU and Germany, EBA and BaFin. Banks in the EU report supervisory data to a common EBA framework. The EBA reporting frameworks page lists version 4.2 (released Q4 2025, module-specific application from December 2025) and versions 4.3 and 4.4 as planned for Q3 2026 with module-specific application from December 2026 onward (4.4 marked tentative; status as shown on 21 October 2026). Technical versions change several times a year, which is the main argument for a maintained product on standard filings. National submission channels differ by country; check with your national supervisor.
United States. U.S. banks file quarterly Call Reports with their federal regulator; the FDIC Call Reports page lists the current forms and instructions (FFIEC 031, 041 and 051), and each bank confirms its form and deadline with its regulator. Where a third-party provider supports the process, the Interagency Guidance on Third-Party Relationships: Risk Management (Federal Reserve SR 23-4, FDIC and OCC, 7 June 2023) applies.
AI-specific. An AI agent used in a reporting process may fall under the EU AI Act depending on its use; see EU AI Act compliant AI agents for banks.

When does custom development beat a reporting SaaS?

Swipe to compare →

Criterion	Reporting product / SaaS	Custom build with a partner	Hybrid (typical)
Standard EBA or FFIEC filings	Strong: vendor ships taxonomy and form updates	You own every update	Vendor engine for the filing
Many source systems, inconsistent data	Needs a clean feed first	Full control of integration and lineage	Custom data layer feeds the vendor engine
Several jurisdictions with different templates	Vendor's supported list	Any, at your effort	Vendor list plus your own template layer
Internal, management and ad-hoc supervisory reports	Often limited	Full	Custom for these, vendor for filings
Reconciliations and variance explanations	Vendor checks	Tailored to your ledgers	Custom reconciliation services
Evidence and audit trail	Vendor's log format	Your format	Unified evidence layer across both
Exit and lock-in	Higher	Lower, if you own code and data	Depends on interfaces
Main cost drivers	Licence, modules, volume	Engineering, validation, run team	Both, plus integration

Rule of thumb: the more your problem is the template, the more you should buy. The more your problem is the data feeding it, the more you should build. The same logic applies to the wider compliance stack; see custom or off-the-shelf compliance software.

Where do AI agents fit, and where do they not?

AI agents add value around the filing engine, not inside the filed numbers.

Data lineage. An agent can trace a reported figure back through transformations to its source tables and keep that map current as systems change. This supports the data-governance expectations behind BCBS 239.
Reconciliations. An agent can match reported values to the ledger, flag breaks and draft an explanation for the reviewer.
Commentary. An agent can draft variance notes from the underlying data. The reviewer edits and owns the text.
Human-in-the-loop sign-off. Each figure and each commentary has a named approver before submission. The agent never submits. Define which changes need a second approver.
Audit trail. Log inputs, transformation steps, model and prompt versions, the agent's output, the reviewer's edits and the approval, so the filing can be reconstructed later. See what a KYC AI audit trail should log; the same logging principles apply.

Not suited to agents: calculating the final regulatory figure in an opaque way. Keep calculations deterministic and testable; use the agent to explain and check them.

What should you check before you decide?

Which filings are in scope, per jurisdiction, and which are standard templates?
How many source systems feed them, and how consistent are the data definitions?
Who owns each taxonomy or form update, and how is a change tested before submission?
Can you trace each reported figure to source data today? How long does it take?
Which steps are manual reconciliations or Excel, and what is their error history?
Which parts are ICT third-party services for DORA purposes (EU entities) and are exit rights agreed?
Where does data live and who can access it? (Claude and Swiss data residency)
Who signs off, and what evidence will the auditor ask for?
Who runs and maintains the solution after go-live?

Write the answers down before asking for quotes; they define the scope any estimate depends on.

How does S-PRO help?

S-PRO is a Swiss international firm headquartered in Zurich (founded 2014, 250+ engineers, ISO 27001 and ISO 27701 certified; R&D centres in Zurich and Łódź). For regulatory reporting it works on the layers around a reporting engine: integrations with core and risk systems, data-lineage and reconciliation services, AI agents for reconciliation notes and commentary with human sign-off, and the evidence and audit-trail components. See AI agent development, banking software development and security and compliance for financial institutions. S-PRO is a Certified partner in the Claude Partner Network. S-PRO does not claim regulatory approval or certification on behalf of its clients.

To scope one report or one reconciliation as a first project, book a call with our team.

Book a discovery call (45 min)

Sources

FAQ

Questions buyers ask us

Should we build or buy regulatory reporting software?

Buy for standard filings where a vendor maintains the templates. Build, or build around a product, where your data landscape, several jurisdictions or internal reports are the real difficulty. Most banks end up with a hybrid.

What software automates regulatory reporting for banks?

Two categories: reporting engines that map data to regulator templates and produce the filing, and a data and control layer that feeds and checks them. The first is usually bought; the second is often custom to the institution.

Can AI agents prepare regulatory reports?

They can prepare inputs: lineage, reconciliations and draft commentary. A person approves the figures and the submission, and the process is logged. Opaque AI calculation of filed figures is not recommended.

Does BCBS 239 apply to our bank?

BCBS 239 was published by the Basel Committee in 2013 and focuses on global systemically important banks. Whether and how your supervisor applies it to other banks is a question for your compliance function.

How often do EBA reporting requirements change?

The EBA releases technical reporting framework versions several times a year (for example 4.1 in Q2 2025, 4.2 in Q4 2025, and 4.3 and 4.4 planned for Q3 2026). Check the EBA page for the current plan.

How long does a reporting automation project take?

It depends on the number of reports, source systems and jurisdictions; we do not quote a standard timeline. A first scoped project on a single report or reconciliation is the usual way to measure it.

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 BarskyiHead of Banking & Fintech

Dustin SchulzeSenior Business Analyst

Prefer email or phone?

hi@s-pro.ioEmail +41 41 539 15 83Phone