Why Workday integrations become bottlenecks.
The problem is not integration capability. It is orchestration and ownership. Plaid's data shows what fixing it looks like.
If every integration requires 4 to 6 stakeholders and months of coordination, the system does not scale.
The setup
Most People Systems teams running Workday own integrations on paper. The work happens. The integrations get built. The data flows. What is often missing is a layer that connects Workday events to downstream actions in a way that scales beyond a single integration.
Without that layer, every new vendor, every new program, and every new policy is another standalone build.
The industry pattern
Each integration is a project. A one-way feed runs to roughly 40 hours of build effort. A bi-directional feed runs to 80 to 90 hours. Calendar time is in months because the work touches 4 to 6 stakeholders.
There is no shared pattern. Mappings, security groups, RaaS reports, and SFTP or SSO setup are reproduced from integration to integration. Errors are detected late, often via a vendor notice or an employee complaint.
The cost shows up most acutely as time the team doesn't have. Plaid's People Systems team described it directly: integrations took up the majority of their time, and the team was operating at max capacity.
Why it persists
Plaid had Workday as a system of record. Plaid had ownership in the right place. The integrations weren't broken. The orchestration layer was missing.
Most enterprise People Systems teams are in the same position. They have the platform. They have the ownership. They don't have a layer that turns Workday events into reusable downstream actions, so every integration is a one-off.
Why faster builds aren't the answer
Workday Studio and iPaaS platforms can both produce integrations faster. Neither solves the orchestration problem. Studio builds remain code to maintain. iPaaS tools require modeling HR concepts inside a generic platform. Consultant-built feeds keep the expertise outside the team that owns the workflow.
Faster individual builds with no shared pattern still produce a function in which every integration is a project.
The forcing function: Plaid
Plaid acted because the team needed to standardize and scale across applicant tracking, benefits carriers, and employee experience tools. The team was already at max capacity.
Plaid built the missing pattern on Aragorn: Workday RaaS reports as the data source, Aragorn projects as the orchestration layer, integrations back to Workday or out to vendors. Integrations became configuration, not projects.
What changes after
The pattern is reusable. Five to six benefit carrier integrations were delivered in under a quarter. The same volume previously took six to nine months. Seventeen integrations are now live, all using the same Workday-and-Aragorn pattern.
The backfill workflow shows the same shift outside of integrations. Workday termination triggers an Aragorn project that pulls from RaaS four times daily and runs hourly to create or close requisitions. Workday questionnaire tasks replace email threads. Approvals route automatically. The team estimates 200 to 500 manual hours saved annually, with 1 to 3 hours per week recovered for FP&A and 1 to 2 hours per week for managers.
Quantified results, from Plaid
- Build effort. 40 hours for a one-way feed, 80 to 90 hours for a bi-directional feed.
- Calendar time. From multiple months to weeks per integration on existing patterns.
- Volume. Five to six integrations in under a quarter, versus six to nine months previously for the same volume.
- Footprint. 17 integrations live.
- Coordination. From 4 to 6 stakeholders per integration to a core team.
- Backfill workflow. 200 to 500 hours saved annually, plus 1 to 3 hours per week for FP&A and 1 to 2 hours per week for managers.
Each ties to a specific workflow and a specific population. None are bundled into an aggregate productivity number.
A specific example
The most concrete example is the most ordinary one. Plaid added a new benefit carrier integration. Before Aragorn, that would have been a four to six month project with 4 to 6 stakeholders and roughly 80 to 90 hours of build effort. After, on the existing Workday-to-Aragorn pattern, it was a configuration: align Aragorn fields with the relevant Workday RaaS report, set up the vendor mapping, run.
Same outcome. Different operating model.
"Now we have Workday-native workflows and Aragorn orchestrating the data flows end-to-end, with clear ownership, logs, and dashboards. The biggest difference is that People and Finance can move at the speed of the business without sacrificing data quality or compliance."
People Systems Team, Plaid
The takeaway
The problem is not integration capability. It is orchestration and ownership.
If every integration requires 4 to 6 stakeholders and months of coordination, the system does not scale.
When the orchestration layer exists, integrations become configuration, not projects. Workflows become system-driven. The team stops being a project queue and starts behaving like a product function.
Plaid's data is the proof: 17 integrations live, 5 to 6 delivered in under a quarter, 200 to 500 hours saved annually on backfill alone. Real, decomposable, and explainable.
See how Plaid scaled to 17 Workday integrations.
The full customer story: the operating model shift, the backfill workflow, and what changes when integrations become configuration.