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Drive Process Improvement Faster Than You Ever Thought Possible.

Replace spreadsheets, disconnected tools, & manual reporting with a unified AI platform for OEE, production scheduling, and operational improvement.

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📈 Improve OEE by 10–25% 🔍 Decrease defect rates by 20–40% 🎯 Increase throughput by 15–30% 📈 Improve OEE by 10–25% 🔍 Decrease defect rates by 20–40% 🎯 Increase throughput by 15–30%

What is Praxie?

AI Powered Production Scheduling

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AI Powered Production Scheduling

AI-Powered Production Scheduling – Create optimized, constraint-aware schedules in minutes to maximize throughput.

Integrated Demand, Inventory, and Capacity Planning – Synchronize forecasts, inventory, and resources in a single adaptive plan.

Real-Time Rescheduling – Instantly adjust schedules for disruptions, variability, and rush orders.

Configurable Constraints, Rules, and KPIs – Model real-world manufacturing with flexible constraints and performance metrics.

Intelligent Availability-to-Promise (ATP) – Provide accurate delivery commitments by balancing demand, capacity, and inventory.

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AI-Powered OEE Tracking & Performance Intelligence

Automated, Real-Time OEE Calculation – Continuously capture machine, operator, and production data to calculate Availability, Performance, and Quality without manual effort.

Unified OEE Visibility Across the Enterprise – Consolidate performance data across machines, lines, and plants into a single, consistent view at every organizational level.

Real-Time Detection of Losses and Downtime Drivers – Identify micro-stoppages, bottlenecks, and root causes of productivity loss as they occur.

Configurable OEE KPIs and Loss Models – Customize OEE definitions, thresholds, and loss categories to match each asset, line, or manufacturing environment.

Actionable OEE Insights for Continuous Improvement – Convert OEE data into prioritized actions that improve throughput, reduce downtime, and increase overall equipment effectiveness.

 

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AI-Powered Lean Huddle Boards & Process Management

Automated, Real-Time Lean Huddle Boards – AI continuously updates huddle boards with live production, quality, safety, and delivery metrics, eliminating manual data collection.

Single Source of Truth for Daily Management – Align operators, supervisors, and leaders around shared KPIs, priorities, and issues across shifts, lines, and plants.

Intelligent Issue Tracking and Follow-Up – Identify recurring issues, track countermeasures, and ensure accountability with clear ownership and status visibility.

Built-In Plan-Do-Check-Act (PDCA) Execution – Enable structured continuous improvement by planning actions, executing changes, checking results, and standardizing improvements.

Configurable Lean Workflows and Metrics – Adapt boards, KPIs, escalation paths, and standard work to fit your lean operating model.

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AI-Powered Work Order Management (MES)

Digital work orders with real-time execution visibility – Create, release, and track work orders digitally across machines, lines, and operators in real time.

AI-driven prioritization and sequencing – Automatically prioritize and sequence work orders based on demand, capacity, material availability, and operational constraints.

Integrated production, quality, and labor tracking – Capture production counts, scrap, rework, and labor data directly from the shop floor.

Configurable workflows and manufacturing rules – Adapt routings, approvals, data capture, and execution logic to match your manufacturing processes.

End-to-end traceability and compliance – Maintain full genealogy, lot tracking, and audit trails across the production lifecycle.

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AI-Powered Gemba Walk

Digital, guided Gemba walks – AI guides leaders and teams through structured Gemba walks, ensuring consistent observations across shifts, areas, and roles.

Real-time operational insights on the floor – Capture issues, risks, and improvement opportunities as they happen with instant visibility for supervisors and leaders.

AI-driven issue detection & improvement suggestions – Identify patterns in safety, quality, flow, and standard work deviations, with AI-powered recommendations for corrective actions.

Configurable focus areas and observation standards – Customize Gemba checklists, prompts, and KPIs to align with specific processes, equipment, and operational goals.

Trend analysis and accountability tracking – Track recurring issues, action ownership, and improvement impact over time to ensure follow-through and measurable results.

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AI-Powered Safety Incident Management

Automated incident capture and reporting – Easily capture safety incidents, near misses, and hazards in real time from the floor, reducing delays, omissions, and manual paperwork.

AI-driven incident classification and severity assessment – Automatically categorize incidents, assess risk levels, and prioritize response based on severity, exposure, and potential impact.

Root-cause analysis & corrective action recommendations – Connect incidents to equipment, processes, training, and environmental factors to uncover true causes and receive AI-powered corrective action suggestions.

Configurable workflows and compliance alignment – Adapt incident types, investigation workflows, approvals, and reporting to match site policies and regulatory requirements.

Trend analysis and proactive risk prevention – Identify recurring risks, leading indicators, and high-risk areas over time to prevent future incidents and strengthen safety performance.

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AI-Powered 5S Audit Management

Digital, standardized 5S audits – Conduct consistent Sort, Set in Order, Shine, Standardize, and Sustain audits digitally across areas, shifts, and teams.

AI-assisted scoring and gap identification – Automatically score audits, flag deviations, and highlight high-risk or low-compliance areas.

Visual evidence capture and issue tracking – Capture photos, comments, and observations during audits and convert gaps into actionable tasks.

Configurable audit criteria and schedules – Customize 5S checklists, scoring thresholds, frequencies, and ownership to match site standards.

Trend analysis and continuous improvement insights – Track 5S performance over time, identify recurring issues, and measure the impact of corrective actions.

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AI-Powered Continuous Improvement Management

Unified digital CI platform – Centralize Gemba, Kaizen, audits, actions, and performance metrics in a single, connected system.

AI-driven insight and opportunity identification – Continuously analyze operational, quality, safety, and labor data to surface improvement opportunities.

Standardized CI workflows and execution – Drive consistent problem-solving, action management, and follow-through across teams and sites.

Impact measurement and performance tracking – Quantify improvements in cost, throughput, quality, safety, and engagement with clear ROI visibility.

Scalable CI culture enablement – Empower frontline teams and leaders with data-driven tools that sustain continuous improvement at scale.

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AI-Powered Kaizen Management

Digital idea capture and Kaizen submission – Easily capture improvement ideas from the shop floor in real time, including problems, suggestions, and opportunities.

AI-driven idea evaluation and prioritization – Automatically assess Kaizen ideas based on impact, effort, feasibility, and alignment to operational goals.

Structured Kaizen workflows and collaboration – Guide teams through standardized Kaizen steps with clear ownership, approvals, and cross-functional collaboration.

Root-cause analysis and solution recommendations – Use AI to identify patterns, suggest countermeasures, and connect improvements to underlying process issues.

Impact tracking and continuous improvement visibility – Measure results such as cost savings, quality improvements, safety gains, and engagement over time.

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AI-Powered Work Instructions & SOPs

Digital, standardized work instructions and SOPs – Create, manage, and deploy clear, consistent work instructions and SOPs across machines, lines, and roles.

AI-assisted authoring and content updates – Use AI to generate, refine, and update instructions based on process changes, best practices, and operational data.

Role-based, contextual instruction delivery – Deliver the right instructions at the right time based on operator role, product, equipment, and task.

Integrated compliance and version control – Maintain approvals, revision history, and audit trails to ensure SOP compliance and traceability.

Performance feedback and continuous improvement insights – Connect instruction usage to quality, downtime, and safety data to continuously improve standard work.

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AI-Powered SMED

Digital changeover documentation and standardization – Capture, document, and standardize changeover steps to create repeatable, best-practice SMED processes.

AI-driven internal vs. external task identification – Automatically analyze changeover activities to distinguish internal and external tasks and highlight conversion opportunities.

Real-time changeover guidance and execution tracking – Guide teams through optimized changeover steps with live visibility into progress, timing, and deviations.

Bottleneck detection and optimization recommendations – Identify delays, constraints, and variability in changeovers and receive AI-powered recommendations to reduce setup time.

Changeover performance tracking and continuous improvement – Measure setup time, variability, and improvement impact across assets and teams to drive sustained SMED gains.

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AI-Powered Maintenance Management

Predictive and preventive maintenance automation
AI analyzes asset data to predict failures, optimize preventive schedules, and reduce unplanned downtime.

Real-time asset health and condition monitoring
Continuously monitor equipment performance to detect anomalies, degradation, and emerging issues early.

Intelligent work order and issue management
Automatically generate, prioritize, and track maintenance work orders with clear ownership and status.

Configurable maintenance strategies and KPIs
Adapt rules, thresholds, PM programs, and metrics to fit different assets, lines, and plants.

Improved reliability, uptime, and maintenance efficiency
Move from reactive to proactive maintenance to extend asset life and lower maintenance costs.

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AI-Powered Downtime Analysis

Automated downtime capture and classification
AI collects and categorizes downtime events in real time—reducing manual entry and missed losses.

Real-time visibility into downtime drivers
Instantly identify top causes of downtime across machines, lines, and shifts as they occur.

Root-cause analysis & Suggested operations
Connect downtime events to maintenance, production, quality, and labor data to uncover true drivers and get AI powered suggested solutions.

Configurable downtime categories and KPIs
Adapt loss codes, thresholds, and metrics to match equipment, processes, and operational standards.

Trend analysis and performance benchmarking
Analyze downtime patterns over time and benchmark performance across assets, lines, and plants.

Reduced unplanned downtime and improved uptime
Turn downtime insights into action to improve reliability, throughput, and overall equipment effectiveness.

 

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Project Management Tools

Comprehensive Project Management Tools: Access a range of project management methodologies including Six Sigma, Lean, and third-party tools, empowering teams to plan, execute, and monitor projects with precision and efficiency

Streamlined Collaboration and Tracking: Foster collaboration among teams by utilizing integrated project management tools, ensuring seamless communication, progress tracking, and timely delivery of projects

Data-Driven Project Insights: Leverage data from project management tools to analyze performance metrics, identify improvement opportunities, and enhance overall project success rates through informed decision-making

Comparison of options

praxie comparision

Praxie is generally the right choice when teams need to move fast without sacrificing rigor, providing AI-powered, domain-specific workflows that connect engineering, quality, and production in a governed, enterprise-ready platform.

You might choose old hard-coded software if your processes are highly stable, change infrequently, and you prioritize long-established systems over flexibility. Table-based project managers can make sense for small teams or early-stage efforts where speed and simplicity matter more than scale, traceability, or governance.

Big AI consulting and software is often chosen for highly complex, one-off transformations that require deep customization and dedicated resources, despite longer timelines and higher cost. Vibe coders can be effective for rapid experimentation or prototyping when governance, durability, and enterprise controls are not yet required.

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FAQ (Frequently Asked Questions)

1. How does AI help on the shop floor?

Answer:
AI connects data from MES, OEE, scheduling, safety, and audits to surface risks, bottlenecks, and priorities in real time — helping teams act faster without disrupting daily work.

2. How much manual tracking and reporting does this eliminate?

Answer:
Most of it. Data collection, dashboards, audits, and reports are automated, reducing spreadsheet work and manual updates.

3. What happens when schedules or production conditions change?

Answer:
AI automatically recalculates impacts across production, labor, safety, and delivery — highlighting issues and recovery options immediately.

4. Does this actually improve safety, quality, and uptime?

Answer:
Yes. AI detects patterns and early warning signs, helping teams address issues before they become incidents, defects, or downtime.

5. How is this better than using separate manufacturing tools?

Answer:
It connects everything into one system, eliminating silos and giving teams shared, real-time operational insight instead of fragmented data.

 
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