Roland Berger

rolandberger.com

Technology consulting is one practice within Roland Berger’s wider management consulting business, rather than its sole activity. Buyers can engage it for technology strategy, transformation oversight, data infrastructure and use-case implementation. Its AI offering explicitly includes agent design and deployment, while analytics cases describe completed machine-learning work. However, its ERP offer emphasizes advice and quality assurance, and some implementation models involve partners or enable clients to execute independently. Procurement should therefore distinguish advisory responsibility, implementation ownership and ongoing system support. ^[1] ^[2] ^[3] ^[4] ^[5]

Services and delivery

AI strategy and readiness advisory

Advisory. Assesses AI readiness, runs executive workshops, prioritizes use cases and develops roadmaps, governance and target operating models. Infrastructure advisory includes requirements definition, vendor selection and target architecture. ^[4]

AI prototyping and agent implementation

Implementation. Supports process selection, rapid prototyping, agent design, deployment and integration. Perform.AI combines governance with prototyping. Productive implementation can involve partners or client teams, so engineering ownership must be agreed for each engagement. ^[4]

Machine-learning and analytics implementation

Implementation. Designs and implements analytics and AI solutions. Reported projects include raw-material price forecasting using financial data and news sentiment, and machine-learning analysis of retail transactions to understand customer preferences. ^[5]

Data strategy and governance

Advisory. Provides data strategy, governance, solution prioritization and design to help organizations define how data will support business use cases. This offering is distinct from model development. ^[5]

Data infrastructure and use-case implementation

Implementation. Develops data infrastructure and implements data use cases. The reviewed evidence establishes delivery scope but does not identify a standard cloud platform, database stack or ongoing operations package. ^[1]

IT strategy and operating-model advisory

Advisory. Provides IT strategy, enterprise architecture management, operating-model design, maturity assessments and cost benchmarking. The offer also covers IT carve-outs and post-merger work. ^[3]

ERP transformation steering and assurance

Advisory. Offers external-advisor support, project-health evaluations and value and quality assurance for ERP transformation. SAP S/4HANA is discussed in this context; the evidence does not establish configuration or migration execution. ^[3]

ERP AI Fitness Check

Advisory. Uses workshops, interviews and data analysis to assess process standardization, data maturity, architecture scalability and customized-code quality. Produces a prioritized roadmap for ERP readiness for future AI workloads, rather than deploying individual AI use cases. ^[6]

Software assessments and technology selection

Advisory. Provides DevOps maturity assessments and optimization advice, software-selection guidance and technology due diligence. Examples include IoT vendor screening for logistics and technical due diligence with mitigation recommendations for a payment provider. ^[7]

Digital-thread transformation

Implementation. Combines process assessment, digital-thread strategy, reference architecture, governance and change management. A partner-assisted industrial case describes digital twins and real-time data integration across design, manufacturing and after-sales. ^[8]

AI-enabled SaaS products

Software product. The Scaled Solutions offer includes AI-enabled SaaS products and asset-based consulting tools. Product availability is separate from evidence of bespoke software engineering or an AI implementation service. ^[7]

Enterprise data and AI research

Research. Publishes research on enterprise data and generative AI, including Toward data-centric AI, based on interviews with 150 data and AI executives. This publication is not independently evidence of implementation capability. ^[9]

Company details

Track record

Roland Berger reports building a forecasting model for an oil refinery using financial data, industry-news sentiment, natural language processing, back-testing and model training. It also reports applying machine learning to a European retailer’s transactions and implementing an automated economic-impact tool for a sovereign wealth fund. These anonymous summaries do not disclose production architecture or support arrangements. ^[5]

An HVAC and building-automation case reports digital twins and real-time data integration delivered with an experienced partner. Separately, an automotive accounts-payable case identified 24% potential time savings through improvement levers and a roadmap; this is not reported realized savings or evidence of deployed AI software. ^[8] ^[10]

Scope and limitations

The supplied research supports AI advisory and selected implementation work, but does not establish that Roland Berger engineers every production component itself.
Managed AI operations, broad cloud migration delivery and cybersecurity operations remain unverified in these notes, rather than proven absent.
ERP assurance evidence does not establish SAP configuration, ABAP development, migration execution or application operations.
The reviewed cases provide limited detail on technology stacks, acceptance criteria, intellectual-property ownership and post-launch service levels.

Questions to ask

Which deliverables will Roland Berger build directly, which will partners build, and who will accept responsibility for the production system?
Can you provide referenceable production projects comparable to our proposed scope?
Which model providers, platforms, deployment environments and licensing constraints would apply?
Who will own source code, prompts, evaluation assets and client-specific models?
What monitoring, maintenance, incident response and post-launch service levels are included?

Overview