Selected work.
A running record of Xeviqa engagements — including two sample case studies below, with more added as projects complete.
Customer support automation for a regional retail company
A sample layout showing how a support-automation engagement could be documented — from challenge to results.
Document automation for a mid-size financial services firm
A sample layout showing how a document-processing engagement could be documented — from challenge to results.
Next project slot
Reserved for a future client project. This card shows how new work will appear once added.
Next project slot
Reserved for a future client project. This card shows how new work will appear once added.
Customer support automation for a regional retail company
A sample layout showing how a support-automation engagement could be documented — from challenge to results.
— Overview
Project overview
This illustrative example follows a mid-size retail company handling a growing volume of order-status and returns questions through a small support team. It demonstrates how Xeviqa would document a customer support automation engagement.
— The challenge
Business challenge
Support volume grew faster than the team, and most incoming questions were repetitive: order status, return eligibility, and shipping timelines. Complex or account-specific issues were getting delayed behind this routine volume.
— The approach
Solution
An AI chat assistant was scoped to handle order-status, returns, and shipping questions directly by connecting to the company's order management and shipping systems. Anything outside that scope — account changes, complaints, or ambiguous requests — was routed to a person with the relevant order context attached.
— Stack
Technologies
— Results
Document automation for a mid-size financial services firm
A sample layout showing how a document-processing engagement could be documented — from challenge to results.
— Overview
Project overview
This illustrative example follows a financial services firm processing a steady stream of client forms and statements by hand. It demonstrates how Xeviqa would document a document-automation engagement.
— The challenge
Business challenge
Client forms and statements arrived in varied formats and were manually read and re-keyed into internal systems by an operations team, creating both a time cost and a source of data-entry error.
— The approach
Solution
A document-processing pipeline was built to read incoming forms and statements, validate the extracted data against expected formats, and push confirmed records into the firm's internal system — flagging anything that didn't pass validation for manual review rather than accepting it silently.
— Stack
Technologies
— Results