Yseop's NLG software relies on domain-specific knowledge and linguistic rules, so configuring it required syntax expertise that its target users, technical document writers, not programmers, did not have.
The complexity kept the product locked to bespoke, per-company implementations.
Loft used ongoing customer research and service design to identify the user roles that fit the regulatory framework, then built role-specific, no-code workflows. Combining UX design with data-modeling expertise, the team streamlined the data-mapping process so non-programmers could configure and generate reports.
Transformed bespoke, per-company designs into a universal self-service platform deployable with minimal effort.
Enabled non-programmers to configure NLG and generate compliant reports without specialized syntax expertise.
Resulted in a comprehensive, award-winning web-based SaaS platform for natural language generation.
- How Jewelbench Cut Jewelry CAD Modeling Time by 95%Ideas2IT Technologies · Manufacturing & Industrial
- How Superintelligent Interviewed 150 Staff for $500 With AIFractional AI · Technology & Software
- How Walmart Cut 18 Weeks From Fashion Design-to-ShelfHuman Machines Group LLC · Retail & E-Commerce
- How a Legal Tech Firm Won Back 7-Figure ARRBonsai Labs · Legal & Compliance