Your Business Challenge
Outdated or misaligned structures often slow decision-making and cloud accountability. Many organizations struggle to adapt their operating model when roles and processes no longer align with strategic goals.
- Are roles and responsibilities clearly defined to avoid duplication and confusion?
- Do your governance forums enable rapid decisions or create bottlenecks?
- Can your teams collaborate across functions without friction or miscommunication?
- Are technology tools integrated to provide transparency into process performance?
- Is your operating model scalable enough to support growth without rework?
Solution Benefits
An optimized operating model reduces friction, accelerates decision-making and enhances collaboration—positioning your organization to respond quickly to market changes.
- Faster decision cycles with clear RACI definitions and streamlined approval workflows.
- Enhanced cross-functional collaboration through aligned roles and shared governance forums.
- Improved operational visibility with integrated digital workflows and real-time dashboards.
- Sustainable scalability, enabling growth without rework or structural reboots.
Solution Features and Functionality
Operating Model Diagnostics
We perform a rapid operating model diagnostic—mapping process flows, decision rights, and governance pathways to identify bottlenecks and inefficiencies.
- Role and workflow mapping to uncover misalignments and handoff gaps.
- Governance forum assessment to highlight decision delays and redundancies.
- Capability-based RACI analysis to ensure accountability and clarify ownership.
- Technology readiness evaluation to determine integration and automation opportunities.
Future-State Blueprint Design
Through collaborative workshops, we co-design a future-state operating model, aligning roles, reporting structures, and processes for agility and clarity.
- Organizational hierarchy optimization to reduce spans of control and decision layers.
- Role definition workshops to establish clear job descriptions, competencies and success metrics.
- Process redesign sessions to remove redundant steps and implement best practices.
- Governance framework setup with steering committees and KPI dashboards for ongoing oversight.
Digital Workflow & Governance Embedding
We integrate digital tools and low-code platforms to provide real-time transparency and automate key control points—ensuring your new model sticks.
- Digital workflow orchestration for end-to-end process visibility.
- KPI dashboard configuration to monitor performance in real time.
- Governance protocol implementation with automated alerts for SLA breaches.
- Change management support, including training on new tools and processes.
Key Capabilities
Operating Model Diagnostics
We map roles, workflows and governance forums to uncover bottlenecks and inefficiencies in your current structure.
Future-State Blueprint Design
Through collaborative workshops, we realign roles, reporting lines and processes to create an agile, scalable model.
Digital Workflow Integration
We embed low-code platforms and automated controls to provide real-time visibility and enforce governance.
Governance Framework Development
We stand up steering committees, KPI dashboards and change-management routines to sustain your new operating model.
Role & Competency Alignment
We define clear job descriptions, competencies and success metrics to ensure accountability and reduce overlaps.
Stakeholder Alignment & Change Enablement
We facilitate stakeholder sessions and training programs to secure sponsorship and embed the new operating model.
Case Studies
Siemens’ Amberg electronics plant—responsible for producing over 6 million SIMATIC modules per year across 1 200 variants—deployed a comprehensive Industry 4.0 automation program combining AI-vision inspection, edge analytics, and closed-loop PLC/MES integration. By embedding defect detection directly into the production line and leveraging a MindSphere-hosted digital twin for predictive maintenance, the initiative boosted built-in quality to 99.9988 %, cut scrap costs by 75 % (≈€ 3.6 M savings), increased shop-floor utilization by 33 % (≈350 000 extra modules/year), raised OEE from 70 % to 85 %, and freed over 6 000 operator hours annually for value-added tasks—all underpinned by enterprise-grade dashboards and automated alerting [1][2].
A national grid operator replaced its 72-hour statistical forecasting process with a serverless AI solution that delivers day-ahead and two-hour-ahead load projections in under five minutes. By combining hybrid statistical models with LSTM networks for sub-hourly accuracy and integrating real-time weather, market, and operational data, the operator boosted two-hour forecast accuracy to over 96% (a 30% gain), cut emergency power-purchase costs by 18% (saving $2.3 M annually), and reduced peak‐period load-shedding events by 45%—enhancing both reliability and cost efficiency.
Facing fragmented decision-making, slow product launches, and declining customer satisfaction, a top global retailer embarked to redesign its operating model. By adopting a network-of-teams structure, agile governance, and a unified digital collaboration platform, the retailer cut decision-cycle times by 50%, accelerated new campaign rollouts by 40%, boosted store-level NPS by 15 points, and raised employee engagement by 20% within one year [1][2].
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