The GEG Accelerator is a data-driven methodology and platform combining deep subject matter expertise, advanced analytics, and a pre-trained AI model to produce fact-based, fast-tracked, comprehensive solutions to address critical challenges and opportunities.
Most large banks have inherently complex business and operating models driven by their global footprint, large product catalogs, and growth by acquisition.
The combined effect of a complex business and operating model creates interdependencies across the business, resulting in a non-linear relationship between complexity, risk, cost, and quality.
Business Model Complexity
GEG Accelerator
Customers
The variation in the type of customers served, individual vs institutions, investors vs issuers, and multi-nationals
Products
The core features of products, including credit, payments, investments, and services, introduce complexity around revenue recognition, risk calculation, and profitability
Geography
Different geographies bring market conventions, customer preferences, and regulatory oversight
Regulation
Each market/regulator has nuances that drive variation in specific rules and how you understand, comply, and demonstrate compliance and reporting
Operating Model Complexity
GEG Accelerator
Processes
Bespoke processes aligned to the unique demands of customers, products, and geographies create complexity and risk in the day-to-day servicing of the market
Delivery Channels
Each supported interaction channel drives unique requirements into your delivery infrastructure, often creating redundancies
Technology
The number and type of applications used to support the business processes create complex interactions and challenges when introducing new products and services or responding to regulatory changes
Location Footprint
Variation in the capabilities and workforce across location limits resiliency and flexibility while increasing costs
Business & Operating Model Inputs
Leverage the concept of a “Digital Twin” to model the products and services to capture the business and operating model boundaries and permutations to align key information to enable E2E performance and risk visibility. Use semantic analysis to interpret key operating parameters and alignment.
Metrics, Analysis, & Insights
Leverage our pre-trained business framework to identify current measures (KPIs/KRIs) and measurement gaps in the performance of operating models. Simulation Engine can simulate 1417 variables leveraging a few basic performance parameters, e.g., volume and number of FTEs.
Execute Plans & Track Results
Use performance measures (KPIs and KRIs) to track actual results to predict and rapidly identify causes of deviation and define strategies, remediation plans, and roadmaps. Iterate and improve performance based on insights generated from the platform.
Simulate, Experiment, & Predict
Create and run strategic scenarios – e.g., simulating business growth and improvements to determine the impact on operating models. Our process utilizes 739 plus simulation algorithms to predict impact.
Challenges
GEG Accelerator
Control Proliferation
Regulatory changes and increasing scrutiny add significant costs and burdens, requiring banks to invest heavily in compliance infrastructure and processes.
Innovation
Banks struggle to innovate at pace because of risk and compliance pressures slowing down the product development lifecycle
Changing Customer Expectations
Customers demand hyper-personalized, user-friendly experiences, putting pressure on traditional banks to offer more digital-first and integrated solutions.
Complexity
A complex business and operating model create interdependencies across the business, resulting in a non-linear relationship between complexity, risk, cost, and quality
Legacy Systems
Many banks struggle with outdated IT infrastructure, hindering their ability to adapt to modern technologies and offer compelling experiences.
Traditional Transformation Levers
Including location strategy, workflow automation, and consolidation, are unlikely to deliver on the total need.
Accelerator Capabilities
GEG Accelerator
Ingest, Interpret, and Analyze
Ingest, interpret, and analyze various data formats, both structured and unstructured, expanding the analysis scope and surface while materially reducing the time.
Fact-Based Analysis
Fact-based analysis based on company data and extensive industry data increases accuracy and confidence.
Visualization
Visualization of operational processes to surface challenges, issues, and operational improvement opportunities. Align operational configuration to industry standard ontology to identify strategy and performance gaps.
AI-Generated insights
AI-generated insights based on pre-trained models that provide KPIs and KRIs to guide strategic changes and remediation actions.
Simulation
Evaluate existing bottlenecks in service quality and test potential strategy and operational changes to increase the likelihood of success.
LLM Integration
Support content generation and update based on updated strategy and implementation plans.
Key Components of the Accelerator
Component
Business Ontology
(Graph Construct)
Function
Visualize and Measure Business Complexity
+ Pre-Trained Business Ontology/Model based on over 25 years of business process engagements
+ Swiftly models intricate operating model relationships
+ 3,000+ built-in algorithms
+ Reveals nuanced insights into behaviors
+ AI-driven ingestion process
Value
+ Pre-built relationships minimizes need to “start from scratch”
+ Interprets data and business relationships
+ Adapts without ontology overhaul
+ Draws logical conclusions and originates insights
+ Establishes statistical performance baselines, autogenerated control charts to detect common cause and special cause variations (anomalies/events)
Component
AI-Driven Classification
and Alignment
Function
Precise Data Tagging, Labeling,
& Analysis
+ Configures the model to client specifics (e.g., regulations, customers, products/services, contacts, complaints, operations, & risk)
+ Repeatable AI Structures for Effortless On-the-Fly Data Updates
Value
+ Categorizes and organizes diverse data from internal and external sources, spanning various formats
+ Efficiently processes large data volumes, identifying key patterns, trends, and relationships for insightful analysis
Component
Business Simulations
Function
Unpack Customer & Business Impacts
+ Analyzes diverse business effects from strategic, customer, operational, compliance, control, risk, and technology decisions.
+ Addresses data gaps by deriving new elements, enhancing decision support.
+ Utilizes simulation scenarios and multivariant analysis, calculating measures for comprehensive insight into complex environments
Value
+ Provides an interactive and dynamic view of the business and operating model performance or risk (regulatory, customer, operations, and technology)
+ Uncovers and measures upstream and downstream, non-linear interdependencies
+ Efficiently processes large data volumes, identifying key patterns, trends, and relationships for insightful analysis
Realize the Benefits of Working with the Accelerator
Our solution combines deep domain expertise in transformation, business performance improvement, target operating model design, AI, and advanced analytics with an agile approach to accelerate results while mitigating overall transformation risks.
Benefits
The analysis is fact-based, not anecdotal, which increases confidence in the Future State Design’s expected performance.
Makes complexity visible and measurable to enable better design decision-making.
The analysis can be rapidly updated as new data and information is obtained.
The analysis can be rapidly updated as new data and information is obtained.
Accelerated analysis & design, reducing the risk of program fatigue.
Stakeholder engagement and employee time is optimized.
Team
John M. Keller
President
Leadership
Paul Mokdessi
Principal
Financial Services Consulting
Christopher S. Rigg
Principal
Financial Services Consulting
Alan Demers
Principal
Financial Services Consulting
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