• Agile, Scrum, and Waterfall methodologies • End-to-end project lifecycle management
• Software development life cycle (SDLC) best practices • Code quality, CI/CD, DevOps integration
• HARA (Hazard Analysis and Risk Assessment) • Hazard Analysis and Risk Assessment (HARA) • Functional Safety Concept • Technical Safety Concept • FMEA, FTA, HAZOP analysis • Safety case development
• Ethical AI and compliance with global regulations • AI Governance & Compliance (aligning AI development with ethical & regulatory frameworks) • AI Process Standardization (establishing AI workflows, integrating with other process standards) • AI Model Lifecycle Management (from data collection to deployment & monitoring) • AI/ML model development and validation • AI Safety & Risk Assessment (evaluating functional risks in AI models) • AI Implementation & Deployment (seamless AI integration in business processes)
• Model-based development (MBD) • Process Implementation & Compliance • Process gap analysis • Process definition and tailoring • Process improvement strategy • Process maturity implementation • Third-party assessments • Compliance verification with Cyber security and functional safety practises • Software & System Engineering Processes • Project & Quality Management • Project management (V-model integration) • Risk management • Quality assurance • Configuration management • Problem resolution management • Support & Tool Integration • Process automation using tools (e.g., (e.g., Polarion, DOORS, Jira) • Process-compliant toolchain setup
• Threat analysis and risk assessment (TARA) • Secure coding and vulnerability assessments • Cybersecurity Risk Assessment (TARA) • Cybersecurity Concept • Threat Modelling and Attack Feasibility Analysis • Cybersecurity Requirements Engineering • System and Component Security Design • Security Verification and Validation • Incident Response and Monitoring • Cybersecurity Management and Governance • Secure Development Lifecycle (SDLC) • Supply Chain Security Management
Define Phase: • Identify problem and project goals. • Define customer requirements (VOC). • Create SIPOC (Suppliers, Inputs, Process, Outputs, Customers) diagram. • Develop a project charter. Measure Phase: • Collect current process data. • Establish baseline performance (DPMO, Sigma Level). • Develop data collection plan. • Identify key process variation sources. Analyse Phase: • Perform root cause analysis (Ishikawa, 5 Whys). • Use statistical tools (ANOVA, Regression). • Qualitative analysis (Coding and interpretation) • Identify critical process factors. • Validate root causes using hypothesis testing. Improve Phase: • Develop and test improvement solutions. • Apply DOE (Design of Experiments). • Implement process changes. • Conduct pilot runs and validate improvements. Control Phase: • Establish control plans and SOPs. • Use SPC (Statistical Process Control) charts. • Implement mistake-proofing (Poka-Yoke). • Train employees for sustaining improvements.
Strategic advisory services tailored to businesses in technology, finance, retail, and industrial sectors. we provide: - Qualitative & Quantitative Data Analysis – Unlocking valuable insights for better decision-making and operational efficiency. - Strategic Risk Management – Identifying potential threats, mitigating risks, and deploying robust solutions for long-term success. - Business Process Optimization – Streamlining workflows, reducing waste, and improving operational agility using Lean Six Sigma methodologies. - Financial & Investment Strategies – Helping businesses navigate financial challenges, maximize returns, and sustain growth.
We offer end-to-end ERP implementation services, from initial consultation and system design to deployment and post-implementation support. Our approach ensures minimal disruption to your operations while maximizing the benefits of your new ERP system