Real workflows. Real systems. Measurable business impact.
Each case study follows one business workflow from a real problem to an operated system — the challenge, the solution architecture, where AI acts, where humans approve, and the defensible result.
Showing 4 of 4 case studies
Unifying seller conversations and order context in one workspace
Problem: Customer messages arrived across several channels while order, product and shipping context lived in separate systems. Agents switched screens to answer a single question, response times slipped and revenue leaked.
Solution: A unified workspace that brings every conversation together with live order and product context, drafts grounded AI replies, and routes any action that changes an order through human approval.
Turning fragmented product data into a governed product operation
Problem: Product information was spread across spreadsheets and tools with no single source of truth. Inconsistent attributes, pricing and media created listing errors and slowed every downstream operation.
Solution: A governed product operation with one authoritative data model, business-rule validation on every change, AI-assisted enrichment, and approval gates before catalog updates go live.
Building a traceable multilingual learning-data supply chain
Problem: Learning content was assembled from many corpus and dictionary sources with no lineage. When an entry was wrong, no one could trace where it came from or which downstream lessons were affected.
Solution: A traceable supply chain for multilingual learning data — every generated item carries lineage back to its source, with automated checks and human review before it reaches learners.
Generating verified admin systems through Sofina
Problem: Building admin systems by hand was slow and inconsistent, and generic AI code generation produced software no one could trust or verify against the agreed scope.
Solution: Admin systems generated through Sofina — approved features preserved, completeness validated, build and test gates enforced, and a human approval plus delivery evidence before release.
Your workflow could be the next case study.
Start with an audit. We map your workflows, rank the AI opportunities, and design the first system worth building.