Practical perspectives on operational excellence, process improvement, Lean Six Sigma, AI, analytics, automation, and project delivery.
Why candidate AI agents need purpose, data boundaries, tool permissions, human review, fallback, testing and monitoring before a pilot.
Read insight: AI Agents Need Governance Before the Demo Becomes a WorkflowWhy operations leaders need practical judgment about AI use cases, readiness, governance, human review, pilot measures and responsible next steps.
Read insight: AI Fluency for Operations Leaders Is More Than Prompt TrainingWhy quality intelligence requires controlled definitions, traceable data, recurrence signals, CAPA escalation, human quality review, accountable action, and clear AI and validation boundaries.
Read insight: Quality Intelligence Is More Than a CAPA DashboardWhy responsible AI needs visible use cases, proportionate risk controls, data boundaries, meaningful human review, vendor oversight, incident routes, and a practical 90-day sequence.
Read insight: Responsible AI Starts with Operating Controls, Not a Policy PDFWhy useful performance management connects trusted KPI definitions, decision-ready dashboards, exceptions, actions, ownership, review routines, and optional human-reviewed AI drafts.
Read insight: A Dashboard Is Not a Management System: Introducing the Pragy AI-Enabled Operations Review SystemWhy successful workflow implementation connects process, information, automation, human review, testing, training and sustainment around one bounded outcome.
Read insight: One Workflow, Clearer Results: Introducing the Pragy Workflow Intelligence SprintA practical framework for moving from a list of AI ideas to prioritized use cases, readiness decisions and a 90-day operational roadmap.
Read insight: From AI Ideas to an Operational Roadmap: Introducing the Pragy AI Operations Opportunity MapShadow manual processes often begin as quick spreadsheet workarounds. Over time, they create reporting gaps, version-control issues, rework, and decision risk across operations, finance,…
Read insight: Shadow Manual” Processes: The Return of the SpreadsheetAI agents are entering Lean workflows, but operational teams are learning that automation still needs supervision, validation, and process discipline to avoid costly decisions.
Read insight: Algorithmic Babysitting: When Operational Excellence Means Managing the AIProactive operational readiness helps leaders identify gaps before execution begins, align teams around clear KPIs, and reduce avoidable disruption across operations, quality, supply chain,…
Read insight: Proactive Operational Readiness: Building Confidence Before Execution
