Recruiting · Production

Royal London reduces time-to-schedule by 99% with Paradox AI on SAP SuccessFactors

The problem

Royal London's slow interview scheduling process made it difficult to land top financial talent and risked candidate drop-off.

Workflow diagram · grounded in source
1
Slow scheduling problem
trigger
“A slow scheduling process made landing top talent a challenge for the mutual”
2
AI-powered scheduling
ai_action
“deliver a lightning-fast process to engage top talent and minimize drop-off”
3
SAP SuccessFactors integration
integration
“modernize their interview scheduling process atop SAP SuccessFactors”
Reported outcome

After deploying Paradox atop SAP SuccessFactors, Royal London achieved a 99% decrease in time-to-schedule and a 72 NPS score with AI.

Reported metrics
Time-to-schedule99%
NPS score with AI72
Reported stack
ParadoxSAP SuccessFactors
Source
https://www.paradox.ai/case-studies/royal-london
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After deploying Paradox atop SAP SuccessFactors, Royal London achieved a 99% decrease in time-to-schedule and a 72 NPS score with AI.

What tools did this team use?

Paradox, SAP SuccessFactors.

What results were reported?

Time-to-schedule: 99%; NPS score with AI: 72 (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Slow scheduling problem → AI-powered scheduling → SAP SuccessFactors integration.