The gap between documented and provable is where regulatory exposure lives.
D2R gives regulated organisations full visibility into how critical processes actually execute - with governance, audit evidence, and a safe path to automation and AI adoption built in from day one.
Compliance requirements are increasing. Visibility into execution isn't.
Audit evidence is retrospective
Your team spends weeks before every audit gathering evidence - reconstructing what happened from emails, spreadsheets, and memory. The evidence is assembled after the fact, not captured as the work happens. It's unreliable, time-consuming, and exposes you to exactly the risk it's supposed to mitigate.
Processes run differently every time
The documented process says one thing. Execution says another. Different teams, different staff, different interpretations - the gap between design and reality grows quietly until an incident, a quality review, or a regulatory inquiry makes it visible.
AI pressure without a governance foundation
Leadership wants to demonstrate AI progress. But you can't safely automate what you haven't first measured. Without execution visibility, AI initiatives either stall in pilots or amplify the inconsistencies that already exist.
Execution visibility. Governance by default. A safe path forward.
Capture execution reality, not just design intent
Every process run in D2R captures what actually happened - who did what, when, and how long each step took. Not what was supposed to happen. What actually occurred.
- Live step-level tracking with start time, finish time, and duration
- Responsible and accountable owners recorded for every step
- Diagram and table views showing the same live execution data
- The gap between your process map and reality becomes visible - and measurable
Governance that generates itself
D2R doesn't ask your team to create audit evidence. It creates it automatically as the work happens.
- Every completed run produces a formal Completion Certificate
- Full Material Changes (Audit) log
- Stakeholder sign-offs tracked against the process version
- Full version history with design change tracking
- Exportable for formal use
| Step | Name | Completed | Actual | By | Evidence |
|---|---|---|---|---|---|
| 1 | Run startedInstance opened from approved template | 02/05/2026 · 8:12 AM | Complete | Daniel Okonkwo | 1 file |
| 2 | KYC documentation verified6d 4h 18m actual | 08/05/2026 · 12:30 PM | Complete | Lina Nguyen | 4 files |
| 3 | Privacy attestation recorded2d 51m actual | 10/05/2026 · 1:42 PM | Complete | Samira Reyes | 0 files |
| 4 | Run completeCompletion certificate generated | 06/06/2026 · 9:19 AM | Complete | Daniel Okonkwo | 0 files |
See patterns across every run
One run tells you what happened. Fifty runs tell you what's really going on. D2R's built-in analytics surface the patterns that manual evidence gathering never reveals.
- Average cycle time, completion rate, overdue count - updated with every run
- Run Timeline comparing every instance side by side, step by step
- Spot which steps are consistently slow, which teams are faster, what's improving
- The data for the resourcing conversation, the improvement case, and the AI readiness assessment
A governed path to AI and automation adoption
D2R doesn't start with automation. It starts with understanding. Once you have execution data, you can see exactly where AI or automation will help - and introduce it with evidence, not assumptions.
- Understand your processes first by running them with full visibility
- Execution data reveals where AI and automation will genuinely help - and where human judgement must remain
- AI Process Builder creates structured processes from plain language descriptions
- AI Insights add-on surfaces bottleneck patterns and recommends AI and automation step candidates
- Progressive, evidence-based - not automation for its own sake
Processes regulated organisations run in D2R
These are examples. D2R works with any structured, recurring process - design your own or describe it in plain language and let AI Process Builder create it.
Compliance costs are rising. Execution visibility is the path through.
D2R addresses this directly - not by adding another layer of controls, but by making existing execution visible, measurable, and automatically evidenced.
Built for the people navigating complexity with accountability.
- Needs to demonstrate CPS 230 readiness to the COO
- Proving the concept before departmental rollout
- First Completion Certificate generated within 10 days
- Runs compliance and incident processes across three teams
- Uses Run Dashboard to report cycle time trends to the board
- Expanding from a pilot into a multi-team rollout
- Evaluating D2R across operational resilience processes
- Requires SSO and audit log exports
- Needs dedicated onboarding for a critical-ops rollout
Thinking deeper about process governance.
The Hidden Costs of Process Complexity in Regulated Organisations
How control layers accumulate, why they resist traditional improvement, and what to do about it.
Regulated operationsHow Process Complexity Creeps In
Three persistent patterns that quietly accumulate in regulated environments: control layers, hidden dependencies, and silent variants.
ProductivityThe $49 Billion Productivity Prize Most Boards Are Still Underestimating
How Australian financial services could add $48.9B in cumulative value by 2035 - if organisations can scale AI safely.
Ready to see how your processes
actually run?
Designed to run. Built to prove it.