Our summary
A business workflow often needs a small judgment, such as deciding which queue should receive a request. Vadzim Tashlikovich at SCAND explains how Jev can return an allowed answer directly, rather than writing a reply that the application must read and check. He compares this with traditional classifiers and general writing models.
The proposed starting point is one decision inside an existing workflow. Give it clear choices, choose what happens when an answer is uncertain and record the results. First run the new decision alongside the old process without letting it act. Compare correct completed outcomes, response times and the work needed to fix mistakes.
This is architectural guidance, not a finished production system or a step-by-step build. SCAND reports roughly seven hundred milliseconds for a request of one thousand tokens, but gives limited test detail. Permissions, exact business rules and human review remain outside the model. Example confidence cutoffs need testing on the intended work.
Key takeaways
- Start with one small decision that has known possible answers, not a request for the AI to run the whole business process.
- Run it beside the current process first. Measure the cost of a correctly completed decision, including corrections and fallback work.
- Keep permission checks and exact rules in ordinary code. Decide in advance when an uncertain answer should go elsewhere or to a person.