Quality Management (Qualitätsmanagement, QM)

Internal quality management within an economic development organization safeguards the service quality of all organizational processes, increases the efficiency of internal workflows and creates the basis for continuous organizational improvement. • Process documentation: Standardization and documentation of all internal workflows and procedures • Service standards: Definition and monitoring of quality standards for internal and external services • Staff feedback: Regular internal feedback processes to identify room for improvement • Certification management: Planning, implementing and maintaining quality certifications (ISO, CAF) • Continuous improvement process: A structured CIP cycle for systematically raising organizational performance • Knowledge management: Securing and transferring organizational and process knowledge to new staff

Stember periodic table

Classification of the activity according to Stember's periodic table of economic development

82

QM

Internal measures to safeguard a minimum quality of the results of operational service processes.

Quality management comprises all measures for planning, steering and optimizing processes against defined requirements. Its goal is to improve the quality of a product or service and thereby customer satisfaction. Quality management also improves internal communication.

Digitalization and AI agents

Various implementation stages, from analog realization to complete automation through AI agents.

Process manuals as Word documents, quality discussions held in annual staff reviews, no systematic CIP, knowledge held unstructured by individual employees.

First process documentation in the CRM or SharePoint, standardized checklists for recurring tasks, regular team meetings on process improvement with minutes taken.

Digital process management tool, online feedback system for staff, digital certification management, automated reminders for audit cycles and training measures.

Internal knowledge management on the platform – staff share best practices and process improvements in internal groups, collaborative document development, collective organizational knowledge instead of silos.

AI agents automate internal quality management communication: • Process reminder agent: Automatically reminds staff of due process steps, checklists and quality checks in day-to-day operations • Feedback collection agent: Regularly initiates automated internal feedback rounds on process quality and improvement ideas • Audit preparation agent: Automatically coordinates all necessary steps and document requests in preparation for quality audits • Improvement tracking agent: Automatically follows up on improvement measures and escalates stalled implementations • Knowledge transfer agent: Detects knowledge about to be lost when staff move on and automatically initiates structured handover processes

Implementation with LoftOS

Description of how LoftOS supports the implementation of the activity

With LoftOS, internal quality management becomes a living, ongoing task – process knowledge is accessible to everyone, feedback flows continuously and improvements are tracked transparently. • Digital process manual: All EDO processes and standards are documented on internal platform pages – accessible to every employee, always current and versionable. (Pages) • Internal feedback system: Staff give structured feedback on processes and workflows through digital forms – continuous improvement input with no effort. (Forms + Notification System) • CIP workflow: Improvement ideas run through a structured digital process from submission to implementation and measurement of success. (Pipelines) • Internal knowledge community: Staff share best practices, experience and process improvements in internal groups – organizational learning becomes routine. (Groups + Feed) • Audit documentation: All quality-relevant activities, measures and results are documented in the platform – audits become a manageable routine process. (Pipelines + Forms) • AI Agent Builder (FELSER 5.0): AI agents send reminders about process steps, collect feedback, prepare audits and secure knowledge when staff change – internal quality management runs continuously with no extra effort.

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