Validation Accuracy
Published for the automated offer-checking workflow.
Client case study
Xalta’s published card-offer compliance case reports 99%+ validation accuracy, 70–80% less manual effort, zero partner SLA violations and 24×365 process coverage. Scheduled unattended bots compare three approved sources and report differences to operations.
Discuss a Similar ProjectPublished case results: 99%+ validation accuracy, 70–80% less manual effort, 0 partner SLA violations and 24×365 coverage.
Published for the automated offer-checking workflow.
Published reduction in routine checking effort.
Reported in the published case for the automated process.
The published case reports year-round process coverage.
Client & project context
The client is a financial services company whose consumer portal presents more than 50 credit card products. Its operations team needed to keep the published offers consistent with partner-approved information throughout the life of each offer.
The project focused on comparing three sources of truth and producing clear execution and difference reports. The source documents identify an Automation Anywhere proof of concept followed by unattended daily processing.
The challenge
Manual checking placed a recurring burden on the operations team and made it harder to identify differences quickly across a large offer portfolio.
Offer details had to be checked across more than 50 products and multiple reference sources.
Information needed cleansing and standardisation before it could be compared reliably.
Missed or late checks could delay remediation of published offer information.
Incorrect offers could affect partner commitments and customer confidence in the portal.
The solution
Scheduled unattended bots collect and standardise offer data before comparing the approved sources and reporting differences.
The workflow handles the repetitive collection and comparison work. It produces an execution summary and a deviations report so the operations team can review the differences and decide what needs correction.
Collect the required information from the three approved sources of truth.
Clean and normalise fields so equivalent offer information can be compared.
Detect mismatches, missing information and anomalies across the sources.
Email execution and difference summaries for review and follow-up.
The operations team reviews differences and owns remediation decisions. The unattended RPA workflow performs the scheduled collection, comparison and reporting steps.
How it works
The stages below show the implemented process from source information to output or review.
Begin the unattended offer-review workflow on the agreed schedule.
Automation AnywhereCollect offer data from the three approved reference sources.
Source-of-truth interfacesNormalise the fields needed for a meaningful comparison.
Data preparation logicIdentify mismatches, missing fields and other differences.
Comparison rulesEmail the run summary and the deviations identified.
Execution + exception reportsThe operations team investigates the differences and takes the required corrective action.
Operations reviewImplementation
A short Automation Anywhere proof of concept established the approach, followed by unattended end-to-end checking and reporting.
The source client story records a proof of concept built in under two weeks.
Implement extraction, cleansing and comparison across the three reference sources.
Run the bots on the agreed daily schedule and deliver execution and deviation reports to operations.
Offer information from different sources has to be cleaned and standardised before differences are treated as meaningful.
Each component has a defined role in processing, validation, integration or review.
Runs the scheduled unattended checking process.
Provides the offer information used for comparison.
Makes corresponding fields comparable.
Identifies mismatches, missing data and anomalies.
Gives operations the run result and differences to investigate.
Results & business impact
The published case reports 99%+ validation accuracy and a 70–80% reduction in manual effort. It also reports zero partner SLA violations and year-round operating coverage for the described process. Operations retains responsibility for reviewing differences and directing corrective action.
| Workflow measure | Before | After | Reported result |
|---|---|---|---|
| Validation accuracy | Staff manually reviewed large amounts of offer information. | Structured extraction and comparison apply the same checks across the supported records. | 99%+Validation Accuracy |
| Review workload | The operations team repeatedly collected and compared source information. | Unattended runs prepare the comparison and report the differences. | 70–80%Manual-Effort Reduction |
| Partner requirements | Delays or missed differences could affect partner terms and service commitments. | Regular checking and exception reporting support timely operations review. | 0Reported Partner SLA Violations |
| Process availability | Routine reviews depended on manual operating capacity. | Unattended workflows perform scheduled checks throughout the year. | 24×365Reported Process Coverage |
The same extraction, preparation and comparison process is applied across the supported offer records.
Operations receives a defined list of differences instead of reconstructing the comparison manually.
Related offerings
Explore the solution, supporting service and industry context for this workflow.
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