Predictable delivery with engineered quality: requirements flow, architecture, verification/validation, continuous learning.
Reliable service systems with measurable SLAs, incident/problem management, and experience-driven improvements.
Governance, lineage, and lifecycle controls that turn data into trustworthy assets for analytics and AI.
Capability-driven workforce systems—skills models, learning paths, communities of practice, engagement metrics.
Evidence‑driven improvement, human‑centric appraisals
Risk-based security integrated into engineering: secure SDLC, vulnerability handling, assurance evidence.
Hazard analysis, safety cases, verification rigor, and auditability for regulated environments.
Distributed/remote operating models with clear governance for quality, collaboration, and evidence capture.
Qualify and manage suppliers with performance transparency, joint risk control, and co-improvement loops.
For official resources, visit the CMMI Institute.
Go to CMMI Institute