Abstract


An agent finds a document, updates a record and prepares a response. Every operation appears successful. For a business, however, one question remains: has the requested outcome been achieved? For Novhora, a startup focused on agentic process transformation, that question can become the starting point for every project.

Verify the outcome

EmailBench, published on 25 September 2026, makes the problem concrete: the best configuration evaluated completes 33.5% of scenarios, although 99.7% of tool calls finish without observed API errors. This finding applies to that benchmark; it is not an estimate of the reliability of all agents. arxiv.org

Define what “done” means

Consider handling a customer request as an example. The process might require identifying the case, checking documents, obtaining approval and sending a final communication. Before automating it, the business should define which conditions must hold at closure. A well-written response is insufficient if approval is missing or the wrong case has been updated.

Prepare the operating context

This perspective leads to a design proposal for Novhora: make authoritative sources, current versions and relationships between information identifiable. When two documents contradict each other, the system should have a rule for choosing between them or requesting intervention. Preparing the context becomes part of transforming the process.

Measure value and recovery

A pilot can begin with a limited workflow whose outcomes are verifiable. Useful metrics include correctly completed cases, total time, human interventions and cost per successful case. Exceptions also need testing: missing information, an unavailable service or an ambiguous request. In those situations, a justified pause and a clear handover to a person may be the appropriate outcome.

Conclusion

A practical direction for Novhora is to design execution and verification together. Every agentic process should have an identifiable objective, closure criteria and a path for handling unexpected situations. This gives businesses a measurable basis for deciding where to increase autonomy.

Starting source: EmailBench. The design recommendations are editorial analysis developed for Novhora’s context.