Intelligent Basel III Operational Risk Management for comprehensive risk control

Basel III Operational Risk: SMA Implementation for CRR III

CRR III replaces BIA, STA and AMA with a single Standardised Measurement Approach (SMA) for operational risk.

  • 01AI-optimised AMA implementation with predictive operational risk modelling
  • 02Automated operational risk event data collection and categorisation
  • 03Intelligent BEICF assessment and continuous control environment monitoring
  • 04Machine learning operational risk forecasting and capital allocation
11+Years of experience
120+Employees
540+Projects
ISO 27001certified

Operational Risk under CRR III — From Business Indicator to Capital Optimisation

With CRR III entering into force on 1 January 2025, the Standardised Measurement Approach (SMA) is the sole method for operational risk capital requirements. The SMA relies on the Business Indicator (BI) comprising ILDC, Service Component and Financial Component. Institutions exceeding EUR 750 million BI must additionally disclose a 10-year loss history. New FINREP reporting requirements apply from 31 March 2026 — including validation rules and transitional provisions for proxy values until September 2026.

We offer a comprehensive portfolio of AI-supported solutions for the strategic implementation of all Basel III Operational Risk Management requirements. Our approach combines deep operational risk expertise with effective technology solutions for sustainable compliance excellence and risk optimisation.

6 service modules

What we take on for you

Bookable individually or as an end-to-end programme.

01

AI-Based AMA Implementation and Advanced Measurement Approach Optimisation

We use advanced AI algorithms to optimise Advanced Measurement Approach implementation and develop automated systems for precise operational risk quantification.

  • Machine learning AMA model development and optimisation
  • AI-supported operational risk quantification with intelligent loss distribution modelling
  • Automated Monte Carlo simulations for operational risk capital calculation
  • Intelligent AMA validation for various business lines and risk types
02

Intelligent Operational Risk Event Data Collection and Categorisation

Our AI platforms develop highly precise operational risk data management strategies with automated event capture and continuous data quality optimisation.

  • Machine learning-optimised operational risk event identification
  • AI-supported automatic event categorisation according to Basel III categories
  • Intelligent loss data validation and cleansing
  • Adaptive data quality monitoring with continuous improvement
03

AI-Supported BEICF Assessment and Control Environment Monitoring

We implement intelligent Business Environment and Internal Control Factors assessment systems with machine learning control environment monitoring for continuous operational risk quality.

  • Automated BEICF assessment for all business lines
  • Machine learning control environment analysis
  • AI-optimised risk indicator development and monitoring
  • Intelligent control effectiveness assessment with predictive quality forecasting
04

Machine learning Operational Risk Capital Allocation and Control

We develop intelligent systems for optimal capital allocation for operational risks with predictive control strategies and continuous optimisation.

  • AI-supported operational risk capital calculation and allocation
  • Machine learning risk-return optimisation
  • Intelligent operational risk limits and control
  • AI-optimised integration into ICAAP and strategic planning
05

Fully Automated Operational Risk Reporting and Compliance Monitoring

Our AI platforms automate operational risk reporting with intelligent compliance monitoring and regulatory governance integration.

  • Fully automated regulatory operational risk reporting
  • Machine learning-supported compliance monitoring
  • Intelligent Operational Risk Governance and change management integration
  • AI-optimised audit trail management and documentation
06

AI-Supported Operational Risk Compliance and Continuous Innovation

We support you in the intelligent transformation of your Basel III Operational Risk compliance and the development of sustainable AI operational risk capabilities.

  • AI-optimised compliance monitoring for all operational risk requirements
  • Development of internal operational risk expertise and AI centres of excellence
  • Tailored training programmes for AI-supported Operational Risk Management
  • Continuous AI-based risk optimisation and adaptive operational risk control

5 phases

Our AI-Supported Basel III Operational Risk Management Approach

We work with you to develop a tailored, AI-optimized Basel III Operational Risk Management strategy that intelligently meets all operational risk requirements and creates strategic risk advantages.

  1. Analysis of your current operational risk structures and identification of optimization potential

  2. Development of an intelligent, data-driven Operational Risk Management strategy

  3. Design and integration of AI-supported operational risk measurement and control systems

  4. Implementation of secure and compliant AI technology solutions with full IP protection

  5. Continuous AI-based operational risk optimization and adaptive risk control

Your contact

Melanie Düring

Head of Risk Management

The intelligent optimisation of Basel III Operational Risk Management is the key to comprehensive risk control and regulatory excellence. Our AI-supported operational risk solutions enable institutions not only to achieve regulatory compliance but also to develop strategic risk advantages through optimised AMA implementation and predictive operational risk analysis. By combining deep operational risk expertise with the latest AI technologies, we create sustainable competitive advantages while protecting sensitive corporate data.

Our Basel III Operational Risk Management Expertise

  • 01Deep expertise in Operational Risk Management and AMA implementation
  • 02Proven AI methodologies for operational risk modelling and control
  • 03Comprehensive approach from risk identification to operative implementation
  • 04Secure and compliant AI implementation with full IP protection

Operational Risk Management Excellence in Focus

Precise operational risk control requires more than regulatory fulfilment. Our AI solutions create strategic risk advantages and operational superiority in operational risk management.

7 QUESTIONS, BRIEFLY ANSWERED

Frequently asked questions about Basel III Operational Risk – AI-Supported Operational Risk Management Optimisation

What changes for operational risk under CRR III?

CRR III replaces all previous measurement approaches (BIA, STA, AMA) with the unified Standardised Measurement Approach (SMA). Capital requirements are based on the Business Indicator (BI), consisting of three components: ILDC, Service Component and Financial Component. The Advanced Measurement Approach (AMA) is fully discontinued.

How is the Business Indicator calculated for the SMA?

The Business Indicator aggregates three income components: the Interest, Leases and Dividends Component (ILDC), the Service Component (SC) from fee and commission income, and the Financial Component (FC) from trading and banking book results. Data is primarily sourced from P&L statements per RechKredV or FINREP.

Do all banks need to collect loss data for the SMA?

Institutions with a Business Indicator exceeding EUR 750 million must disclose a 10-year loss history. In the EU, however, institution-specific loss history does not directly feed into capital calculations, unlike the original Basel framework. The disclosure requirement serves supervisory transparency.

What transition periods apply for the new OpRisk standardised approach?

CRR III has applied since 1 January 2025 and entered into force on 9 July 2024. There is no multi-year phase-in for the own funds requirement itself: the new standardised approach fully replaces the Basic Indicator Approach, the Standardised and Alternative Standardised Approaches and the Advanced Measurement Approach (AMA), and continued use of the Alternative Standardised Approach is not available. What was deferred is the reporting: Regulation (EU) 2025/2475 moved the first mandatory reference date for COREP templates C 16.02, C 16.03 and C 16.04 from March 2026 to June 2026. C 16.01 remains mandatory for the March 2026 reference date, and the other three may be reported voluntarily from March 2026.

What is the expected capital impact of the SMA?

EBA studies and major audit firms expect capital increases of 5‑30% for operational risk, depending on the business model. The median stands at approximately -3% for large banks and +0.6% for smaller institutions. Targeted exclusion of non-BI-relevant items can optimise capital requirements.

What is the Prudential Boundary Approach in BI calculation?

The Prudential Boundary Approach (PBA) separates trading and banking book positions based on prudential rather than accounting criteria. Depending on portfolio structure, it can lead to different BI values and offer optimisation potential for capital requirements.

How does ADVISORI support SMA implementation?

ADVISORI guides institutions from gap analysis through BI mapping at chart-of-accounts level to FINREP reporting implementation. Our methodology covers exclusion of non-BI-relevant items, loss data collection calibration and capital requirement optimisation, with a proven average reduction of 12% versus initial SMA calculations.

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