WYnova provides artificial intelligence services under three models: engineers embedded in your operations, process automation across systems, and development of custom AI solutions.
| Forward Deployed Engineering | Workflow Automation | AI Solution Builder | |
|---|---|---|---|
| Suited to | Long-term challenges where the solution is not defined at the outset. | Teams that lose hours transferring data manually between systems. | Needs that no market solution adequately addresses. |
| Scope of delivery | Engineers in your operations, developing with the in-house team and transferring knowledge. | The process automated end to end, with AI where judgement is needed and rules for the rest. | A custom-built solution, from prototype to production, or an adapted WYnova product. |
| Indicative timeline | For as long as the challenge requires, until the in-house team can take over the work. | First process in production within a few weeks. | MVP in 8 to 12 weeks. |
| Working model | Time and materials: billing reflects the time of the allocated team. | Integration through MCP and connectors, with human validation at critical points. | Phases with go/no-go decision points. The code belongs to the client. |
| Case studies | Lachenmeier, QNB, Tecnifar | Auchan | MASSC, Rapport, Dubcast, SAPO, OutSystems |
MUSE: content production at scale, aligned with the brand.
SCOUT: automated quoting and opportunity qualification.
Workflow Automation: automation of processes and requests for quotation (RFQ).
PRISM: real-time business intelligence and anomaly detection.
Decision assistants: answers based on internal documentation (RAG).