A major automotive manufacturer's U.S. distribution subsidiary, operating a network of over 600 retailers nationwide, had invested in OneTrust to manage data subject requests. The platform was live, but it was not working hard enough. Web forms collected basic information without adapting to the request type. Workflows routed every request through the same generic stages regardless of complexity. Response templates had accumulated over time, many no longer relevant. The privacy team was managing a process, but not an optimized one.
With consumer privacy awareness growing and regulatory requirements expanding across U.S. states, the organization needed its DSR infrastructure to do more than function. It needed to scale efficiently, communicate clearly with data subjects, and free the privacy team from manual work that automation should handle.
FLLR was engaged to optimize the organization's OneTrust Privacy Rights implementation, transforming default configurations into a system designed around how the team actually processes requests.
The Challenge
The existing implementation checked the compliance box but created unnecessary friction at every stage of the request lifecycle.
Static Web Forms
- Forms collected the same information regardless of request type
- No conditional logic to gather details relevant to specific privacy rights
- Data subjects often submitted incomplete requests, requiring follow-up
- No differentiation between external consumer requests and internal employee requests
One-Size-Fits-All Workflows
- A single default workflow handled all request types
- No variation in stages or routing based on request complexity or category
- Requests that could be resolved quickly sat in the same queue as complex investigations
- Limited visibility into where requests were in the process
Cluttered Response Templates
- Response templates had accumulated without cleanup
- Unnecessary templates created confusion about which to use
- Communications with data subjects lacked consistency
- No alignment between templates and actual workflow stages
Manual Processing
- Automation capabilities within OneTrust were not being leveraged
- Requests that could trigger automatic actions required manual intervention
- Team time spent on repetitive tasks that the platform could handle
Our Approach
We approached this engagement with a principle that applies to any workflow optimization: the system should reflect how requests actually need to be handled, not how the default settings assume they should be.
The first step was understanding request patterns. Different privacy rights require different information upfront. An access request needs identity verification. A deletion request may need to capture exceptions or dependencies. An opt-out request might be straightforward. By mapping these patterns, we could design forms that adapt to what the privacy team actually needs to process each type efficiently.
For workflows, we focused on creating a global structure with meaningful stages rather than a flat process where everything moves through the same steps. The goal was standardization that enables efficiency, not uniformity that ignores differences between request types.
We also prioritized automation. OneTrust has capabilities that many organizations never activate. For request types with predictable handling patterns, automation rules can eliminate manual steps entirely. We identified where those opportunities existed and built the rules to capture them.
Implementation
Intelligent Web Form Design
We developed two distinct web forms: one for external data subjects and one for internal requests. Both incorporate conditional logic and dynamic field displays that adapt based on the type of request being submitted. When a consumer selects their privacy right, the form surfaces the specific fields needed for that request type. This provides a personalized experience for users while ensuring the privacy team receives complete information from the start, reducing back-and-forth communication.
Global Workflow with Meaningful Stages
We configured a global workflow with varying stages designed for standardized request processing across all regions. Rather than a single flat process, the workflow now routes requests through stages appropriate to their type and complexity. This creates consistency in how requests are handled while allowing for the variation that different privacy rights require. The workflow structure gives the privacy team clear visibility into request status and progress.
Response Template Optimization
We streamlined the response template library, removing unnecessary templates that had accumulated and updating the remaining templates to align with the new workflow stages. Communications with data subjects are now consistent, clear, and appropriate to where requests sit in the process. The privacy team no longer has to hunt through cluttered options to find the right template.
Automation Rules
We established automation rules to handle request types with predictable processing patterns. This includes automated integrations for specific request types that previously required manual intervention. Requests that meet defined criteria now flow through appropriate actions without team involvement, freeing the privacy team to focus on requests that genuinely require human judgment.
Results
Web Forms
- Before: Static forms collecting same information regardless of request type
- After: External and internal forms with conditional logic and dynamic fields
Workflow Structure
- Before: Single default workflow for all requests
- After: Global workflow with varying stages for standardized processing
Response Templates
- Before: Cluttered library with unnecessary and outdated options
- After: Streamlined templates aligned to workflow stages
Automation
- Before: Not leveraged within web forms or workflows
- After: Automation rules including integrations for specific request types
Data Subject Experience
- Before: Generic intake requiring follow-up for missing information
- After: Personalized forms that capture complete information upfront
Team Efficiency
- Before: Manual processing of requests that could be automated
- After: Automated handling of predictable request patterns
The organization now has a DSR infrastructure that works as hard as the privacy team does. Requests arrive with complete information. Workflows route them through appropriate stages. Templates communicate clearly. And automation handles what automation should handle.
The Bigger Picture
This engagement reinforced a pattern we see across organizations that implemented OneTrust but never optimized it. The platform has significant capabilities, but default configurations are designed to work for everyone, which means they are optimized for no one. Value comes from tailoring the system to how your organization actually processes requests.
By rebuilding web forms with conditional logic, restructuring workflows around meaningful stages, cleaning up response templates, and activating automation, we helped the organization move from a functional DSR process to an efficient one. The privacy team now spends less time on mechanics and more time on the requests that require their expertise.
If your OneTrust implementation is running on default settings, or if your privacy team is doing manually what the platform could do automatically, the question is how much efficiency you are leaving on the table. If the answer is "more than we should," our team is ready to help.
