GRC Operating Model — Strategic & Effective by Design
Fragmented systems, mis-configured tooling and missing policies make GRC programmes heavy and unreliable. Our four-step approach creates the right requirements, selects the right technology at the right cost, builds a financed roadmap, and implements a tested target operating model — powered by automation & analytics.
Four steps to a target operating model
Fragmented systems, mis-configured tooling and missing policies make GRC programmes heavy and unreliable. Four steps turn that into a complete, financed, tested operating model.
Create the right requirements
Rank the target-state requirements to prioritise — separating required from nice-to-have GRC operating-model capabilities.
Select the right technology at the right cost
Identify GRC technology that meets your key requirements, then build a costing and value-return model across technology, data, people and processes.
Build a financed roadmap
Create a dynamic business case that doubles as an operational tool, and identify the roadmap to build out the target operating model — scope, timeline and deployment plan.
Implement a tested operating model
Verify the functionality and performance of the GRC Target Operating Model with business and IT, then execute go-live — technologies, data model and processes.
Automation & analytics at the core
What makes the model effective isn't the structure alone — it's building intelligence into every GRC process.
Automation
Replace manual control execution and evidence collection with workflow and bots — fewer errors, faster cycles.
Data Analytics
Move from sampling to full-population testing and real-time risk signals across the enterprise.
Continuous Monitoring
Controls watched continuously — not at period-end — so issues surface and escalate as they happen.