You want AI that uses internal knowledge to also support decisions and deliverables for each case. SYSLABO reviews the workflow from start to finish and defines decision criteria, how exceptions are handled and the roles people play. We develop functions that reference documents and records to carry out the required processing, and check with actual cases whether it works, including the effort needed for review and correction.
We trace requests, information checks, decisions, deliverables and handoffs. We define who uses the system, what they provide and what makes a case complete.
We review policies, business terms and past decisions to define the conditions that apply to each case. We also specify when missing information, conflicting terms or cases out of scope require human judgment.
We combine AI extraction with calculations and checks based on rules, to fit the workflow. Points to check and their evidence, comparison tables and draft applications are output in a form the next step can use.
We assess omissions, evidence, outputs and handoffs using routine and exceptional cases. Including review and correction time, we determine where the system is usable and when specialist review is needed.
Next iteration
We assign responsibility for exceptions, incidents, data updates and enhancements. Real exceptions and staff corrections feed into evaluation, with revisions as policies and business terms change.
Tell us which tasks you want AI to support and which cases are difficult to judge. We will define an initial development scope and evaluation criteria around your current AI and business systems.
You can contact us before your questions or documents are fully organized.
