Skip to content
Banks and financial services

The proposal is ready. The decision stays with you.

Credit proposal, KYC review file, reporting form, customer reply: agents read the core banking system, the credit DMS, your terms and other sources, calculate according to your rules and present every draft with its source. Votes, approval and submission stay with your experts.

neuland.ai HUB · Credit department

  • and more systems

Credit application FK-2026-0588, Weber Präzisionsteile GmbH, working capital line €2.5 million: please prepare the credit proposal for front office and back office. What is still missing?

Tools chosen automatically

  • Credit DMS · Annual accounts 2025read
  • Credit DMS · BWA 08/2026read
  • SharePoint · Corporate credit manual, sec. 4.2read
  • Core banking system · Collateral and exposureread
  • Credit DMS · Credit proposal FK-2026-0588Draft

Debt service coverage is 1.34 [1]; the credit manual requires at least 1.2 [2]. The collateral is a blanket assignment of receivables [3]. One point is open: the BWA 08/2026 (interim management accounts) shows 6% lower revenue [4], and there is no statement from management. The proposal is in the credit DMS as a draft.

  • [1]Annual_accounts_2025_Weber.pdf · p. 9, income statement and debt service
  • [2] Credit_manual_corporate_clients_2026.pdf · p. 14, sec. 4.2
  • [3]Collateral overview · Customer 4471203
  • [4]BWA 08/2026 · Revenue minus 6%

Is the collateral enough for the €2.5 million?

  • Core banking system · Collateral overviewread

The collateral value in the core banking system is €1.55 million, so the blanket assignment covers 62% of the line [1]. The unsecured portion is 38%. How recoverable the assigned receivables are is for the back office to judge; the agent does not calculate that. Front office and back office write the votes.

  • [1]Collateral overview · Customer 4471203 · Collateral value €1.55 million
Credit proposal WeberPDFDraft
  • done: Debt service coverage 1.34, manual at least 1.2
  • done: Blanket assignment, unsecured portion 38%
  • done: Annual accounts 2025 and BWA 08/2026 read
  • open: Statement on the revenue decline missing
  • question: Votes from front office and back office pending

abcfinance works with the neuland.ai HUB

Not just in lending

KYC, customer service, DORA register and risk report: four of these agents at work.

Departments such as AML prevention, the service center, outsourcing management or risk controlling get a draft with its source. Decision and signature stay in those departments.

Example · One proposal for front office and back office

The agent does the math. People write the votes.

For risk-relevant lending, the German Minimum Requirements for Risk Management (MaRisk) require two votes, from the front office (Markt) and the back office (Marktfolge). Both read the same credit proposal, every ratio with document and page; your approval authority rules govern the rest.

Credit proposal FK‑2026‑0588 · Weber Präzisionsteile GmbH

Working capital line €2.5 million, term 36 months. Debt service coverage is 1.34 [1]; the credit manual requires at least 1.2 [2].

The collateral is a blanket assignment of receivables; the unsecured portion is 38% [3]. Open: the BWA 08/2026 shows 6% lower revenue, and a statement from management is missing.

Approval chain

Draft created

Kreditprüfung Agent

08:14

Front office vote

L. Hofmann · Corporate relationship management

10:02

Back office vote

S. Aydin · Credit back office

Credit decision

Head of Credit

Sources

Source [1]

Annual_accounts_2025_Weber.pdf

p. 9 · Income statement and debt service

Net income €1.12 million, depreciation €0.61 million.

Source [2]

Credit_manual_corporate_clients_2026.pdf

p. 14 · Sec. 4.2

The debt service coverage ratio is at least 1.2.

Source [3]

Core banking system · Collateral overview

Customer 4471203 · As of Sep 25, 2026

Blanket assignment of receivables, collateral value €1.55 million.

The back office sees the same sources as the front office and votes independently.

Every figure in the proposal cites document and page; credit analysis checks it with one click.

Ready in the Agent Library

Ready-made agents for banks and financial services. Adopt them and adapt them to your credit manual.

From credit review to regulatory reporting: eight of the ready-made agents for financial services.

Kreditprüfung Agent

40 to 60%

faster credit decisions

Analyzes credit documents and prepares the basis for decisions.

Financial servicesCredit department, risk management

KYC Agent

60%

faster KYC checks

Automates identity and document checks in onboarding.

Financial servicesCompliance, onboarding, AML

Regulatory Reporting Agent

70%

less reporting effort

Automates regulatory filings and supervisory reports.

Financial servicesRisk management, controlling

Customer Service Agent

60%

faster processing

Automates service requests and supports advisors with real-time information.

Financial servicesService center, call center

Vertragsprüfung Agent

50%

less review effort

Analyzes financial and insurance contracts for risks and inconsistencies.

Financial servicesLegal, product management

Investment Research Agent

50%

faster research cycles

Analyzes market and portfolio data to support decisions.

Financial servicesAsset management, research

Risikomanagement Agent

up to 40%

faster risk analysis

Identifies market, credit and operational risks based on data.

Financial servicesRisk controlling, treasury

Produktmanagement Agent

35%

faster product launches

Supports product development and documentation in a regulation-safe way.

Financial servicesProduct management, innovation

Figures are based on comparable projects and are not a guarantee.

For your outsourcing review

Your institution decides where the credit file lives.

Only those whose role allows it see balance sheets and account transactions, and no language model learns from them.

DeploymentEU or on-premisesThe neuland.ai HUB processes credit files and account data in EU data centers or in your own data center, your choice.
TrainingExcludedBalance sheets, account transactions and collateral agreements are never used to train language models.
PermissionsPer roleUnits such as corporate lending, retail advisory or trading only see their own data. On request, tenants also separate the institution from its subsidiaries.
DocumentationISO 27001, DPAAn information security management system (ISMS) under ISO 27001 and a data processing agreement (DPA) under Art. 28 GDPR are in place, along with documented technical and organizational measures (TOMs) and the DORA addendum.

Certificates, DPA, TOMs and the DORA addendum can be downloaded from the Trust Center.

Example · Filed only after the OK

No export from the core banking system. The agent reads the exposure where it lives.

For FK-2026-0588, the agent queries collateral and exposure in the core banking system and reads the annual accounts and BWA in the credit DMS, with the permissions your admins set per agent. It files the finished proposal in the credit DMS only after a human OK.

Data from Core banking system, Credit DMS, SharePoint, SQL database etc. flows through neuland.ai HUB to Credit DMS, Outlook etc.

What compliance and IT ask first

Before compliance signs off: DORA, the credit decision, the interfaces and operations.

  • Under DORA, your institution records every contract for ICT services in the register of information, including the one for the neuland.ai HUB. Whether it is also an outsourcing within the meaning of MaRisk AT 9 is determined by your risk analysis. The DORA addendum and the other documents for this are in the Trust Center.

One decided credit application is enough. Watch the credit proposal take shape.

If you like, bring your credit manual, and the agent in the neuland.ai HUB calculates with your thresholds. Then we discuss connecting your systems, such as the core banking system and credit DMS, and the first agents.

After your request

  1. 01You choose a decided application, without customer names
  2. 02We draft the credit proposal for it in the neuland.ai HUB
  3. 03You get a proposal for integration and the first agents

Page footer