Design Automation for Exceptions
Map workflow exceptions so your team knows when to retry, request help, use an approved fallback and check what happened before they restart the…
Read insight: Design Automation for Exceptions
Insights archive
Category: Process Improvement
Close CAPA With Evidence
Plan a CAPA effectiveness check with clear rules and owners so your team can see what is done, what is known and what needs…
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One Workflow, Clearer Results: Introducing the Pragy Workflow Intelligence Sprint
Why successful workflow implementation connects process, information, automation, human review, testing, training and sustainment around one bounded outcome.
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From AI Ideas to an Operational Roadmap: Introducing the Pragy AI Operations Opportunity Map
A practical framework for moving from a list of AI ideas to prioritized use cases, readiness decisions and a 90-day operational roadmap.
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Shadow Manual” Processes: The Return of the Spreadsheet
Shadow manual processes often begin as quick spreadsheet workarounds. Over time, they create reporting gaps, version-control issues, rework, and decision risk across operations, finance,…
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Algorithmic Babysitting: When Operational Excellence Means Managing the AI
AI agents are entering Lean workflows, but operational teams are learning that automation still needs supervision, validation, and process discipline to avoid costly decisions.
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Proactive Operational Readiness: Building Confidence Before Execution
Proactive operational readiness helps leaders identify gaps before execution begins, align teams around clear KPIs, and reduce avoidable disruption across operations, quality, supply chain,…
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Orchestration Over Single-Task Automation
Single-task automation can reduce effort, but orchestration connects people, systems, data, and decisions across the full process for stronger visibility and better operational control.
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Scaling Specialized Global Capability Centers (GCCs)
Specialized GCCs need more than hiring scale. They require clear mandates, process discipline, governance, performance dashboards, and continuous improvement systems to deliver measurable business…
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Why Data Should Be Structured Before Using AI for Data Analytics
AI can help businesses analyze large volumes of data, identify patterns, summarize information, and support faster decision-making. But AI does not automatically fix poor…
Read insight: Why Data Should Be Structured Before Using AI for Data Analytics