AI use cases & client outcomes
The useful question is what changes in someone’s day. These examples bring together the applications we work on and selected outcomes from delivered engagements. Client identities stay private.
Delivered engagements, in context
Explore by industryFrom manual bidding to higher-value work
Approximately 150 daily bidders moved to QA and other work after bidding automation.
~150
ExploreParts availability: 15 days to 2
Cross-country parts availability moved from 15 days to 2 after data consolidation.
15 → 2
ExploreDispute information without the wait
Dispute resolution moved from a 90-day timeline to near-instant resolution.
90 days → near-instant
ExploreLegacy data, moved without stopping production
Petabyte-scale legacy database migration completed in four months with zero production downtime.
4 months
ExploreHandwritten forms, read in regional languages
Regional-language handwritten money-transfer forms processed with high accuracy and near-zero failures reported since launch.
Regional languages
ExploreQuestions that come up
Are these outcomes guarantees for our project?
No. They describe particular client engagements. Results depend on the workflow, data, integrations and adoption in your own business.
Can we discuss a similar use case?
Yes. Share the process, who uses it and what is currently slowing it down. We can discuss whether AI, automation or better data foundations are the right starting point.
Keep exploring
Let’s talk about your next step.
The workflow, the data and what needs to change.