Digital Fitness Is Not Optional for Compliance
PWC’s Global Risk, Internal Audit and Compliance Survey of 2,000 executives found that as organisations move through digital transformation, digitally fit compliance programmes make better decisions and take smarter, better-informed risks. The same survey put it plainly: a compliance programme’s digital fitness must match that of its organisation, or the gaps across the three lines of defence widen and become entry points for risk.
Most compliance functions know this in principle. Fewer have built the operating model that would let them act on it.
Habit One: Compliance Is Built Into the Design, Not Bolted On Afterward
Compliance functions that get this right are engaged with every transformation and digital programme from the design stage, not consulted once the architecture is already fixed. That means assessing the compliance risk and cost of every investment initiative before it launches, not after. It only works if compliance leaders can actually see the organisation’s digital operating model: the structure that describes how processes are actually executed, not how a slide deck says they should be.
Habit Two: Skills Follow the Operating Model, Not the Other Way Round
Digital programmes demand a different skill set from Risk, Compliance, and Audit: process analysis, data literacy, and enough technical fluency to know where automation is genuinely viable. That skill gap gets easier to close when the operating model itself is visible, because it gives new hires and existing staff a shared reference for how the business actually runs, rather than tribal knowledge held by whoever has been there longest.
Habit Three: Move From Reactive to Predictive
Reactive compliance responds after a breach has already happened. Predictive compliance identifies where a control is weakening before it fails. That shift depends on integrating automation, robotic process automation, and AI into the operating model rather than running Risk, Compliance, and Audit as three separate toolsets that never talk to each other, which is still the norm in most organisations, despite the cost of maintaining three disconnected platforms.
Habit Four: Real-Time Visibility, Not Quarterly Sampling
Innovative functions build real-time dashboards that monitor operational execution as it happens and flag anomalies against regulatory requirements directly, rather than waiting for a sampling exercise to catch what already went wrong. This does not have to be purely data-driven. Human workflow automation lets people flag and self-assess risk as part of the process itself, configured to the specific requirements of the business rather than generic to the sector.
Habit Five: Compliance Sits in the Room Where Digital Decisions Get Made
Functions that show up in the design phase of a digital initiative shape it before the architecture is locked, rather than reviewing it afterward and negotiating exceptions. That requires a working relationship with the teams running those initiatives, built well before a launch date, not a compliance sign-off gate at the end of the project.
Habit Six: One Model, Not a Consolidated Report of Three
Harmonising Risk, Compliance, and Internal Audit around a single source of operational data reduces investment while increasing what each function can see. But a data lake alone does not solve this. What matters is understanding which process activities and tasks actually consume, transform, or create each data point, because that is the exact point where compliance is achieved or lost. A shared dashboard built on top of three disconnected process views is still three disconnected views with a common front end.
The Common Thread
Every one of these habits depends on the same precondition: a compliance function that can see the organisation’s actual operating model, not just its policy documents. Without that visibility, “digital fitness” stays a survey answer rather than a demonstrable capability.
Which of the six habits does your compliance function already practise, and which one is still blocked because nobody can see the operating model clearly enough to act on it?