Start with a priority for your business.
Bring a defined process and success criteria. Review workflow designs and test behavior on realistic synthetic data, alongside process owners, IT and risk reviewers. Each design option shows AI-generated figures for monthly hours saved and operating cost, as planning inputs; the generation plan carries the payback estimate.
Start with one process
Share the scope and outcomes you want to evaluate.
Evaluate on synthetic data, with access and deployment requirements set by your security team.
Define the process and objective.
Start with a process description that excludes confidential or personal data. Use synthetic-data rehearsal to assess workflow fit and identify integration and governance requirements.
Ground it in your real volumes.
Bringing process logs, existing automation or sample data instead? This happens on your terms. You choose what to share, it's used only to design your workers, and we put a data-processing agreement in place before anything moves.
Rehearsal can run entirely on synthetic data. No production data is needed for simulation, preview, or red-teaming. Read the Trust Center
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Select Specify Measure Adopt
Identify a process owner, current volumes, constraints and the business outcome you want to evaluate.
Agree the rules and review points while an AI analyst drafts design options from your documented process or an industry starter pack.
Measure each design on sample cases, review points included, before anything touches a live system.
After validation, export the source code for your environment. Agree deployment, integration and support responsibilities; Nxgyle charges no per-decision fee on exported workers.