
One concise procedure and test grid in GRC/ESG for everyone
How do you transform externally set policies, standards and guidelines
How to establish content audit content that can be automatically monitored?
Which GRC inputs should be prepared before automation?
Which GRC processes are affected?
What results should be delivered internally and for audits?
At which action level are there which options for which stakeholder?
Which knowledge modules and methods can be used?
How Inputs are prepared for automation:
Examples:
Requirement repositories (How to get from standard and policy to test content that can be automated)
Lists - inputs and rules for risk management
Control repositories
Control frameworks for the respective standards (incl. overlap to other guidelines)
Which ESG and GRC Flows to be adresses
Processes and sub-processes that are either automated as a whole or contribute to a value stream via input.
ISO 38500 basic processes
Audit processes and workflows according to ICS COSO or the ISO series of standards
Integrated risk management according to ISO 31000
Crisis management
GRC relevante Outputs
Audit catalogs and control objectives derived from them
Risk registers / risk treatment plans / risk treatment plans
Evidence and report specifications and templates for the respective compliance context
Visualization concepts for control dashboards
Risk dispositive
Result control
Digital degree of development
Compliance fulfillment level
Technical Solution Options by Task Level
Which existing technologies and method sets can be used at the following level?
Data collection / monitoring
Workflow automation
Front end (service automation)
Value stream (internal processes)
Backend (robotic process automation)
Data analysis automation
Issue management and NC alerting
Creation of control boards and management dashboards
Value Added Services around the “Blueprint”
Training / consulting and coaching in the areas of
Compliance management frameworks (ISO / NIST / COSO / EU directives)
Service automation
Process automation
Data literacy and big data
Prebuilt components for closing process and procedural gaps
Libraries and templates for later digital use
As a specification / data and process model
User story collection - ready to implement
Coding & implementation
Provision of technical experts for "turn-key implementation"