Your current AI may face limits as you apply it to more workflows. SYSLABO examines its features, data, settings and integrations, then compares using existing capabilities, adding development or adopting other technology on the same tasks. We clarify costs, operating effort and uncertainties, and define the work needed to improve the system and begin use.
We review the features covered by your current contracts, configuration, data and test results. We identify capabilities you do not use yet, product constraints and the conditions that cause problems in practice.
We define users, tasks, inputs and expected results. Evaluation covers quality, review effort, processing time, permissions and handoffs to the next step.
Compare work and costs, including combinations of these options.
We compare configuration and data improvements, integrations, additional development, and alternative products or architectures. We show where existing investment can be retained and the work and costs of switching and operating.
We define the purpose and completion criteria for testing, then use actual documents and routine and exceptional cases. We summarize the evidence needed for adoption or development decisions and any questions still unresolved.
We document the reasons for the choice, remaining issues and the required changes, system integration, data preparation and operational preparation. We assign responsibilities and clarify cost and schedule assumptions in a plan for initial use.
How to decide where AI handles information that cannot leave your company is explained on the documents and data for AI page, with separate explanations for running a model in house and using a cloud AI service.
Share your current products, proposals, test results and examples that fall short. Starting with your existing system, we will clarify what to investigate before deciding how to improve it.
You can contact us before your questions or documents are fully organized.
