Select a bounded workflow
Choose a process with clear ownership and a measurable starting point.
Find the repetitive decisions, handoffs and information gaps that slow the workflow.
A bounded use case with its owner, inputs and acceptance criteria.
Let's connect ↗Apply AI where it can remove friction from real business processes. Combine enterprise integration, orchestration and human judgment around a clear operating goal.
Automating a task can simply move the bottleneck to the next team. Start with the whole workflow: what triggers it, who owns it, what systems it touches and where judgment is essential. Then decide where AI adds value and where deterministic rules are the better fit.
Automating a task can simply move the bottleneck to the next team. Start with the whole workflow: what triggers it, who owns it, what systems it touches and where judgment is essential. Then decide where AI adds value and where deterministic rules are the better fit.
Find the repetitive decisions, handoffs and information gaps that slow the workflow.
Bring AI assistance into the systems and tasks where work actually happens.
Track quality, exceptions, elapsed time and the effort required to complete the process.
Automating a task can simply move the bottleneck to the next team. Start with the whole workflow: what triggers it, who owns it, what systems it touches and where judgment is essential. Then decide where AI adds value and where deterministic rules are the better fit.
Choose a process with clear ownership and a measurable starting point.
Find the repetitive decisions, handoffs and information gaps that slow the workflow.
A bounded use case with its owner, inputs and acceptance criteria.
Define review, error handling and access before connecting actions to systems.
Bring AI assistance into the systems and tasks where work actually happens.
A working path with the required context, handoffs and review points.
Use real execution results to refine prompts, rules and operating procedures.
Track quality, exceptions, elapsed time and the effort required to complete the process.
A reviewed operating outcome and an explicit improvement backlog.
IANN Automation automates day-to-day operations for files, transactions, integrations and events across major enterprise technologies. Connect operational evidence, repeatable runbooks and controlled execution so teams can manage the work that happens between platforms. IANN ITX extends the family into AI-assisted IBM ITX map development.
Read more ↗EXPLOREP.E.A.K.—PragmaEdge AI Kaizen—brings generative AI into departmental workflows through the Pragma Q platform. Focus adoption on useful work, shared knowledge and continuous improvement across the business.
Read more ↗EXPLOREOrchestrate people, systems, rules and AI in a process that can be understood and operated. Make handoffs explicit from the first request to the completed outcome.
Read more ↗Explore platform-specific scope and operating considerations for your environment.
Bring your business goal. Let’s shape a practical next step.