Scaling Policy Intelligence for a Complex Enterprise
Consolidated 12 separate tools into 1
Potential savings for the business of up to $10M
Reduced manual interactions by upwards of 75%
Challenge
Policies are the invisible infrastructure of a global financial organisation. They shape how risk is managed, how decisions are made, and how 150,000+ people stay compliant. But in this situation, the systems supporting them hadn’t kept up. What existed was functional but fragmented, relying heavily on institutional memory and expensive, rigid third-party products.
This wasn’t just about adding features; it was about orchestrating a unified experience for something that had grown organically—and inconsistently—over decades.
Policy management didn’t exist as a single system—it was a collection of loosely connected parts. Documents were spread across siloed tools and formats, review processes were frequently handled manually outside the product, and for most employees, simply finding the right policy required a level of “insider knowledge” that shouldn’t be a prerequisite for compliance.
These issues showed up clearly in the product. There was no central home for explorers to find answers, and no dedicated workspace for owners to manage the policy lifecycle. The system assumed a level of familiarity that many users didn’t have, turning even simple searches into a learning curve rather than a natural interaction.
The deepest complexity wasn’t technical—it was cultural. Compliance prioritised control and traceability; business teams prioritised speed; and employees just needed something usable. These goals didn’t naturally align, and improving one often created friction in another.
That tension—between structure and flexibility, speed and control—ended up shaping every strategic decision in the work. It was a journey of transforming a fragmented landscape into a high-impact global standard.
Process
The work centred on transforming a fragmented series of documents into a connected, intelligent framework. This meant redesigning the full lifecycle—from how policies are first authored and reviewed to how they are understood and acted upon across the organization. Access was one of the primary friction points for most employees; the system only really worked if you already knew exactly what you were looking for. We shifted this toward an intelligent, direct-access model where, instead of scanning endless PDFs, users can ask specific questions and receive answers from the policy content itself but in a natural language format.
To take this further, we integrated AI-driven regulatory awareness so that document owners are no longer required to manually monitor global shifts. The system now surfaces relevant regulatory changes and provides recommended edits that can be reviewed and integrated directly. This approach balances automated intelligence with the necessary human oversight required for high-stakes compliance.
We also reworked the authoring experience to introduce much-needed consistency. Policy documents previously varied wildly in structure, which made them difficult to maintain and even harder to review. We introduced a modular editor that breaks policies into consistent sections—objectives, governance, and controls—without sacrificing the author’s ability to write naturally. This predictable structure has a massive downstream impact on clarity and review speed, ensuring that policies feel more predictable for everyone involved in the process.
Review was another area where the process frequently broke down, often because decisions and challenges happened across fragmented email threads and external messaging tools. We brought the entire “approval conversation” into the product with native redlining and contextual commenting. **This allows reviewers to see exactly what has changed—comparing old vs. new content in context—and make decisions directly in the flow.** By ensuring that every decision is visible and auditable within the lifecycle of the document, we removed the need for external coordination and made the entire workflow more transparent.
One of the most significant additions was making the “impact network” visible. Previously, the connections between policies, systems, and training processes weren’t obvious. By surfacing that information—what’s impacted, what needs updating, and who’s involved—it became much easier to understand the consequences of a change before it’s made. It transformed policy management from a documentation task into a strategic tool for assessing risk and impact across the entire global organization.
RESULT
- Consolidated a fragmented ecosystem of legacy tools into a single, unified system, eliminating the high-friction context switching that previously slowed down global workflows.
- Reduced manual interactions by up to 75% in key areas by integrating AI-driven automation and more structured, system-enforced processes.
- Identified an estimated $10M in potential savings for the business by accelerating the time required to align and update policies in response to regulatory shifts.
- Mitigated operational risk and reduced errors across the entire policy lifecycle through clearer workflows and better visibility into the impact of changes.
- Established a shared organizational structure that unified teams previously operating under different assumptions, significantly reducing cross-departmental friction.
- Secured increased stakeholder buy-in and roadmap funding by demonstrating the tangible, data-driven ROI of the UX process to senior leadership.