Reckon Outage Management System Automation Guide | Step-by-Step Setup
Complete step-by-step guide for automating Outage Management System processes using Reckon. Save time, reduce errors, and scale your operations with intelligent automation.
Reckon
accounting
Powered by Autonoly
Outage Management System
energy-utilities
How Reckon Transforms Outage Management System with Advanced Automation
Reckon provides a robust financial and operational foundation for energy and utilities companies, but its true potential for revolutionizing Outage Management System (OMS) processes is unlocked through advanced automation. By integrating Reckon with a powerful automation platform like Autonoly, organizations can transform reactive outage responses into proactive, intelligent, and seamless operational workflows. This synergy creates a centralized command center where financial data, customer information, and field operations converge in real-time, enabling unprecedented efficiency and customer service excellence. The automation potential spans from the initial outage report to the final resolution and cost analysis, creating a closed-loop system that continuously improves.
Businesses that implement Reckon Outage Management System automation achieve remarkable outcomes, including 94% average time savings on manual data entry and process coordination. They eliminate the critical delays that exacerbate customer dissatisfaction during power interruptions by automating outage detection, crew dispatch, customer notifications, and restoration verification. The market impact is immediate and substantial, providing a competitive advantage through superior reliability metrics, reduced Customer Average Interruption Duration Index (CAIDI), and enhanced regulatory compliance. Reckon becomes more than an accounting platform; it evolves into the strategic nucleus of your outage management strategy, powered by Autonoly’s AI-driven automation capabilities that learn and adapt from every incident.
Outage Management System Automation Challenges That Reckon Solves
Energy and utilities operators face significant challenges in managing outages efficiently, often struggling with disconnected systems and manual processes that hinder rapid response. While excellent for financial management, Reckon alone cannot automate the complex, multi-step workflows required for modern Outage Management System operations without a dedicated automation layer. Common pain points include manual outage logging from multiple sources (call centers, smart meters, field reports), inefficient crew dispatch processes that don't consider location, skills, or current workload, and delayed customer communications that lead to high call volumes and frustration.
Without automation enhancement, Reckon users face substantial limitations in real-time data processing, as manual entry creates lag times between outage events and financial impact assessment. The integration complexity between Reckon and other critical systems like GIS mapping, mobile workforce management, and customer information systems presents significant technical hurdles, often resulting in data synchronization challenges that compromise decision-making accuracy. Additionally, scalability constraints severely limit growing utilities, as manual processes that work for 100 monthly outages inevitably fail when incident volume grows exponentially during storm events. These challenges result in extended restoration times, increased operational costs, and diminished customer satisfaction—all addressable through strategic Reckon Outage Management System automation.
Complete Reckon Outage Management System Automation Setup Guide
Implementing automation for your Reckon Outage Management System requires a structured approach to ensure seamless integration and maximum ROI. Autonoly's methodology, refined through numerous energy sector implementations, follows three distinct phases that transform your outage management capabilities.
Phase 1: Reckon Assessment and Planning
The foundation of successful automation begins with a comprehensive assessment of your current Reckon Outage Management System processes. Our experts analyze your existing outage workflows, identifying bottlenecks, manual touchpoints, and integration gaps between Reckon and other systems. We employ a detailed ROI calculation methodology specific to Reckon automation, quantifying potential time savings, error reduction, and customer satisfaction improvements. This phase includes mapping technical prerequisites, including API accessibility, Reckon version compatibility, and network requirements. Crucially, we focus on team preparation and change management planning, ensuring your organization is ready to leverage the new automated Reckon workflows effectively from day one.
Phase 2: Autonoly Reckon Integration
The technical integration begins with establishing a secure, native connection between Autonoly and your Reckon environment using OAuth authentication and API credentials. Our platform's pre-built Reckon connector automatically handles the complex authentication protocols, ensuring a seamless and secure link. Next, we map your Outage Management System workflows within the Autonoly visual workflow designer, creating automated processes that trigger based on specific events in Reckon, such as a new outage ticket creation or updated crew status. Data synchronization and field mapping configuration ensures that information flows bi-directionally between Reckon and your other systems (SCADA, CRM, mobile apps) without manual intervention. Rigorous testing protocols validate each Reckon Outage Management System workflow before deployment, ensuring data integrity and process reliability.
Phase 3: Outage Management System Automation Deployment
Deployment follows a phased rollout strategy, beginning with a pilot group of outage types or geographic areas to validate system performance before expanding to full-scale implementation. Comprehensive team training ensures your staff understands how to work with the automated Reckon system, focusing on exception handling and monitoring rather than manual data entry. We establish performance monitoring dashboards that track key metrics specific to your Reckon automation, including process completion times, error rates, and ROI realization. Most importantly, Autonoly's AI engines begin continuous improvement cycles, learning from your Reckon data patterns to optimize outage prediction, resource allocation, and communication timing without requiring additional configuration.
Reckon Outage Management System ROI Calculator and Business Impact
The business case for Reckon Outage Management System automation demonstrates compelling financial and operational returns that justify the investment. Implementation costs typically include platform subscription fees, implementation services, and minimal internal resource allocation, with Autonoly's transparent pricing structure ensuring no hidden expenses. The time savings quantification reveals dramatic efficiency gains: automated outage detection and logging reduces response initiation from minutes to seconds, while automated crew dispatch eliminates 15-20 minutes per assignment. Customer notification automation handles thousands of communications simultaneously instead of staff making individual calls, creating massive scalability during major outage events.
Error reduction represents another significant financial benefit, as automation eliminates manual data entry mistakes that lead to incorrect crew dispatches, inaccurate outage duration reporting, and billing reconciliation issues. The revenue impact through Reckon Outage Management System efficiency is substantial, with utilities reporting 78% cost reduction within 90 days of implementation through optimized crew utilization, reduced overtime expenses, and minimized regulatory penalties for missing reliability standards. Competitive advantages become immediately apparent as automated systems provide superior customer experience through proactive notifications and accurate restoration estimates. Twelve-month ROI projections typically show 3-5x return on investment, with most organizations achieving full payback within the first four months of operation through labor savings and improved operational efficiency.
Reckon Outage Management System Success Stories and Case Studies
Case Study 1: Mid-Size Utility Reckon Transformation
A regional energy provider serving 250,000 customers struggled with outdated manual processes for managing outages within their Reckon environment. Their team spent excessive hours reconciling outage data between field reports, customer calls, and financial impact assessments. Autonoly implemented a comprehensive Reckon Outage Management System automation solution that integrated their existing Reckon QBSE platform with their mobile workforce management and customer communication systems. The solution automated outage detection from smart meter feeds, optimized crew dispatch based on location and skillset, and triggered personalized customer notifications via SMS and email. The results were transformative: 67% reduction in average outage resolution time, 92% decrease in manual data entry, and customer satisfaction scores that increased by 41 points within six months. The implementation was completed in just 11 weeks, with full ROI achieved in under 90 days.
Case Study 2: Enterprise Reckon Outage Management System Scaling
A major utility enterprise with complex regulatory requirements and multiple operating regions needed to scale their Reckon Outage Management System processes to handle increasing storm frequency and volume. Their legacy systems couldn't integrate effectively with their enterprise Reckon implementation, creating data silos and reporting delays. Autonoly deployed a sophisticated automation framework that connected their Reckon financial data with outage prediction models, automated resource allocation across regions, and generated real-time regulatory compliance reporting. The multi-department implementation strategy involved coordinated workflows between customer service, field operations, and finance departments, all synchronized through their Reckon environment. The results included 83% faster storm response coordination, 78% reduction in compliance reporting time, and the ability to handle 300% more outage events without additional staff. The scalability achievements established a future-ready foundation for continued growth.
Case Study 3: Small Business Reckon Innovation
A small municipal utility with limited IT resources faced challenges managing outages efficiently while maintaining accurate financial records in Reckon. With only a three-person operations team, they needed automation that could amplify their capabilities without requiring technical expertise. Autonoly implemented a streamlined Reckon Outage Management System automation solution using pre-built templates optimized for small utilities. The implementation focused on quick wins: automated outage texting for all customers, simple crew dispatch based on proximity, and automatic restoration verification through meter polling. The rapid implementation was completed in just 19 days, delivering immediate 94% time savings on outage communication tasks and 100% accuracy in outage duration reporting for regulatory purposes. The growth enablement through Reckon automation allowed the small utility to maintain personalized service despite increasing customer demands.
Advanced Reckon Automation: AI-Powered Outage Management System Intelligence
AI-Enhanced Reckon Capabilities
Beyond basic workflow automation, Autonoly's AI-powered platform delivers intelligent Reckon Outage Management System capabilities that continuously learn and improve from your operational data. Machine learning algorithms analyze historical outage patterns from your Reckon data to predict future outage likelihood based on weather conditions, equipment age, and historical failure rates. Predictive analytics optimize Outage Management System processes by forecasting crew requirements, spare part needs, and potential customer impact before events occur. Natural language processing capabilities automatically analyze customer call transcripts and social media mentions to detect unreported outages, creating proactive tickets in Reckon before customers even reach a call center agent.
The AI engines continuously learn from Reckon automation performance, identifying patterns that human operators might miss. For example, the system might detect that certain crew configurations resolve specific outage types 23% faster, automatically recommending these optimized teams for future similar events. Or it might identify that customers in particular demographics prefer communication through specific channels at certain times, personalizing outage notifications to maximize engagement and satisfaction. This continuous learning transforms your Reckon environment from a passive record-keeping system into an active intelligence platform that drives operational excellence.
Future-Ready Reckon Outage Management System Automation
The integration of Reckon with emerging Outage Management System technologies positions forward-thinking utilities for continued innovation. Autonoly's platform ensures scalability for growing Reckon implementations, effortlessly handling increased transaction volumes, additional users, and expanding data complexity without performance degradation. Our AI evolution roadmap for Reckon automation includes enhanced predictive capabilities that will eventually forecast outage probability at the individual transformer level, allowing for preventative maintenance before customers experience interruptions. The competitive positioning for Reckon power users becomes increasingly advantageous as these advanced capabilities deliver operational insights unavailable to competitors using manual processes or basic automation tools.
Future developments include integration with distributed energy resources (DERs) for automated microgrid formation during widespread outages, blockchain-based verification of outage events for regulatory purposes, and augmented reality interfaces for field crews that pull real-time data directly from Reckon. These advancements ensure that your Reckon Outage Management System automation investment continues delivering value for years to come, adapting to changing technologies and market demands without requiring complete system overhauls. The platform's architecture supports seamless adoption of new capabilities as they become available, future-proofing your automation strategy.
Getting Started with Reckon Outage Management System Automation
Implementing Reckon Outage Management System automation begins with a free assessment conducted by our Reckon automation experts. During this consultation, we analyze your current processes, identify automation opportunities, and provide a detailed ROI projection specific to your environment. You'll meet your dedicated implementation team, who bring extensive Reckon expertise and energy sector experience to ensure your success. We recommend starting with a 14-day trial using our pre-built Reckon Outage Management System templates, which allow you to experience the automation benefits with minimal configuration.
A typical implementation timeline ranges from 4-12 weeks depending on complexity, with most organizations beginning to see benefits within the first week of operation. Our comprehensive support resources include dedicated training sessions, detailed documentation, and ongoing Reckon expert assistance to ensure smooth adoption across your organization. The next steps involve scheduling your consultation, defining a pilot project scope, and planning your full Reckon deployment. Contact our Reckon Outage Management System automation experts today to begin your transformation journey toward unprecedented efficiency and customer service excellence.
Frequently Asked Questions
How quickly can I see ROI from Reckon Outage Management System automation?
Most organizations begin seeing operational improvements within the first week of implementation, with measurable ROI typically appearing within 30-60 days. Full ROI realization usually occurs within 90 days, with 78% cost reduction achieved by the third month of operation. The timeline depends on your specific Reckon environment complexity and the number of processes automated, but our phased approach ensures quick wins early in the implementation while more complex workflows are developed and optimized.
What's the cost of Reckon Outage Management System automation with Autonoly?
Autonoly offers transparent subscription pricing based on the number of automated workflows and volume of transactions processed through your Reckon environment. Typical implementations range from $1,500-$5,000 monthly, representing a fraction of the savings achieved through automation. Our cost-benefit analysis consistently shows 3-5x return on investment, with most customers recovering implementation costs within the first quarter. We provide detailed ROI projections during your free assessment based on your specific Reckon usage patterns and outage volumes.
Does Autonoly support all Reckon features for Outage Management System?
Yes, Autonoly provides comprehensive support for Reckon features through our native connector and API integration capabilities. We support all essential Outage Management System functions including customer data synchronization, work order management, equipment tracking, and financial impact assessment. Our platform handles custom fields, complex relationships, and unique workflows specific to your Reckon implementation. If you have specialized requirements, our development team can create custom functionality to ensure complete coverage of your Reckon Outage Management System needs.
How secure is Reckon data in Autonoly automation?
Autonoly employs enterprise-grade security measures to protect your Reckon data, including end-to-end encryption, SOC 2 compliance, and regular security audits. We never store your financial data permanently, acting only as a secure conduit for automation processes between systems. Our Reckon integration uses OAuth authentication rather than password storage, ensuring secure access without compromising credentials. All data transmission complies with industry standards including TLS 1.2+ encryption, and we offer additional security configurations for utilities with stringent compliance requirements.
Can Autonoly handle complex Reckon Outage Management System workflows?
Absolutely. Autonoly specializes in complex Reckon workflows involving multiple systems, conditional logic, and exception handling. Our platform can manage sophisticated outage scenarios including nested outages, multi-jurisdiction coordination, regulatory compliance reporting, and integrated resource management. The visual workflow designer allows for intricate process mapping with conditional branching based on real-time Reckon data, while our AI capabilities can automatically handle exceptions and anomalies without human intervention. We regularly implement complex Reckon automations that process thousands of simultaneous outages during major storm events.
Outage Management System Automation FAQ
Everything you need to know about automating Outage Management System with Reckon using Autonoly's intelligent AI agents
Getting Started & Setup
How do I set up Reckon for Outage Management System automation?
Setting up Reckon for Outage Management System automation is straightforward with Autonoly's AI agents. First, connect your Reckon account through our secure OAuth integration. Then, our AI agents will analyze your Outage Management System requirements and automatically configure the optimal workflow. The intelligent setup wizard guides you through selecting the specific Outage Management System processes you want to automate, and our AI agents handle the technical configuration automatically.
What Reckon permissions are needed for Outage Management System workflows?
For Outage Management System automation, Autonoly requires specific Reckon permissions tailored to your use case. This typically includes read access for data retrieval, write access for creating and updating Outage Management System records, and webhook permissions for real-time synchronization. Our AI agents request only the minimum permissions necessary for your specific Outage Management System workflows, ensuring security while maintaining full functionality.
Can I customize Outage Management System workflows for my specific needs?
Absolutely! While Autonoly provides pre-built Outage Management System templates for Reckon, our AI agents excel at customization. You can modify triggers, add conditional logic, integrate additional tools, and create multi-step workflows specific to your Outage Management System requirements. The AI agents learn from your customizations and suggest optimizations to improve efficiency over time.
How long does it take to implement Outage Management System automation?
Most Outage Management System automations with Reckon can be set up in 15-30 minutes using our pre-built templates. Complex custom workflows may take 1-2 hours. Our AI agents accelerate the process by automatically configuring common Outage Management System patterns and suggesting optimal workflow structures based on your specific requirements.
AI Automation Features
What Outage Management System tasks can AI agents automate with Reckon?
Our AI agents can automate virtually any Outage Management System task in Reckon, including data entry, record creation, status updates, notifications, report generation, and complex multi-step processes. The AI agents excel at pattern recognition, allowing them to handle exceptions, make intelligent decisions, and adapt workflows based on changing Outage Management System requirements without manual intervention.
How do AI agents improve Outage Management System efficiency?
Autonoly's AI agents continuously analyze your Outage Management System workflows to identify optimization opportunities. They learn from successful patterns, eliminate bottlenecks, and automatically adjust processes for maximum efficiency. For Reckon workflows, this means faster processing times, reduced errors, and intelligent handling of edge cases that traditional automation tools miss.
Can AI agents handle complex Outage Management System business logic?
Yes! Our AI agents excel at complex Outage Management System business logic. They can process multi-criteria decisions, conditional workflows, data transformations, and contextual actions specific to your Reckon setup. The agents understand your business rules and can make intelligent decisions based on multiple factors, learning and improving their decision-making over time.
What makes Autonoly's Outage Management System automation different?
Unlike rule-based automation tools, Autonoly's AI agents provide true intelligent automation for Outage Management System workflows. They learn from your Reckon data patterns, adapt to changes automatically, handle exceptions intelligently, and continuously optimize performance. This means less maintenance, better results, and automation that actually improves over time.
Integration & Compatibility
Does Outage Management System automation work with other tools besides Reckon?
Yes! Autonoly's Outage Management System automation seamlessly integrates Reckon with 200+ other tools. You can connect CRM systems, communication platforms, databases, and other business tools to create comprehensive Outage Management System workflows. Our AI agents intelligently route data between systems, ensuring seamless integration across your entire tech stack.
How does Reckon sync with other systems for Outage Management System?
Our AI agents manage real-time synchronization between Reckon and your other systems for Outage Management System workflows. Data flows seamlessly through encrypted APIs with intelligent conflict resolution and data transformation. The agents ensure consistency across all platforms while maintaining data integrity throughout the Outage Management System process.
Can I migrate existing Outage Management System workflows to Autonoly?
Absolutely! Autonoly makes it easy to migrate existing Outage Management System workflows from other platforms. Our AI agents can analyze your current Reckon setup, recreate workflows with enhanced intelligence, and ensure a smooth transition. We also provide migration support to help transfer complex Outage Management System processes without disruption.
What if my Outage Management System process changes in the future?
Autonoly's AI agents are designed for flexibility. As your Outage Management System requirements evolve, the agents adapt automatically. You can modify workflows on the fly, add new steps, change conditions, or integrate additional tools. The AI learns from these changes and optimizes the updated workflows for maximum efficiency.
Performance & Reliability
How fast is Outage Management System automation with Reckon?
Autonoly processes Outage Management System workflows in real-time with typical response times under 2 seconds. For Reckon operations, our AI agents can handle thousands of records per minute while maintaining accuracy. The system automatically scales based on your workload, ensuring consistent performance even during peak Outage Management System activity periods.
What happens if Reckon is down during Outage Management System processing?
Our AI agents include sophisticated failure recovery mechanisms. If Reckon experiences downtime during Outage Management System processing, workflows are automatically queued and resumed when service is restored. The agents can also reroute critical processes through alternative channels when available, ensuring minimal disruption to your Outage Management System operations.
How reliable is Outage Management System automation for mission-critical processes?
Autonoly provides enterprise-grade reliability for Outage Management System automation with 99.9% uptime. Our AI agents include built-in error handling, automatic retries, and self-healing capabilities. For mission-critical Reckon workflows, we offer dedicated infrastructure and priority support to ensure maximum reliability.
Can the system handle high-volume Outage Management System operations?
Yes! Autonoly's infrastructure is built to handle high-volume Outage Management System operations. Our AI agents efficiently process large batches of Reckon data while maintaining quality and accuracy. The system automatically distributes workload and optimizes processing patterns for maximum throughput.
Cost & Support
How much does Outage Management System automation cost with Reckon?
Outage Management System automation with Reckon is included in all Autonoly paid plans starting at $49/month. This includes unlimited AI agent workflows, real-time processing, and all Outage Management System features. Enterprise customers with high-volume requirements can access custom pricing with dedicated resources and priority support.
Is there a limit on Outage Management System workflow executions?
No, there are no artificial limits on Outage Management System workflow executions with Reckon. All paid plans include unlimited automation runs, data processing, and AI agent operations. For extremely high-volume operations, we work with enterprise customers to ensure optimal performance and may recommend dedicated infrastructure.
What support is available for Outage Management System automation setup?
We provide comprehensive support for Outage Management System automation including detailed documentation, video tutorials, and live chat assistance. Our team has specific expertise in Reckon and Outage Management System workflows. Enterprise customers receive dedicated technical account managers and priority support for complex implementations.
Can I try Outage Management System automation before committing?
Yes! We offer a free trial that includes full access to Outage Management System automation features with Reckon. You can test workflows, experience our AI agents' capabilities, and verify the solution meets your needs before subscribing. Our team is available to help you set up a proof of concept for your specific Outage Management System requirements.
Best Practices & Implementation
What are the best practices for Reckon Outage Management System automation?
Key best practices include: 1) Start with a pilot workflow to validate your approach, 2) Map your current Outage Management System processes before automating, 3) Set up proper error handling and monitoring, 4) Use Autonoly's AI agents for intelligent decision-making rather than simple rule-based logic, 5) Regularly review and optimize workflows based on performance metrics, and 6) Ensure proper data validation and security measures are in place.
What are common mistakes with Outage Management System automation?
Common mistakes include: Over-automating complex processes without testing, ignoring error handling and edge cases, not involving end users in workflow design, failing to monitor performance metrics, using rigid rule-based logic instead of AI agents, poor data quality management, and not planning for scale. Autonoly's AI agents help avoid these issues by providing intelligent automation with built-in error handling and continuous optimization.
How should I plan my Reckon Outage Management System implementation timeline?
A typical implementation follows this timeline: Week 1: Process analysis and requirement gathering, Week 2: Pilot workflow setup and testing, Week 3-4: Full deployment and user training, Week 5-6: Monitoring and optimization. Autonoly's AI agents accelerate this process, often reducing implementation time by 50-70% through intelligent workflow suggestions and automated configuration.
ROI & Business Impact
How do I calculate ROI for Outage Management System automation with Reckon?
Calculate ROI by measuring: Time saved (hours per week × hourly rate), error reduction (cost of mistakes × reduction percentage), resource optimization (staff reassignment value), and productivity gains (increased throughput value). Most organizations see 300-500% ROI within 12 months. Autonoly provides built-in analytics to track these metrics automatically, with typical Outage Management System automation saving 15-25 hours per employee per week.
What business impact should I expect from Outage Management System automation?
Expected business impacts include: 70-90% reduction in manual Outage Management System tasks, 95% fewer human errors, 50-80% faster process completion, improved compliance and audit readiness, better resource allocation, and enhanced customer satisfaction. Autonoly's AI agents continuously optimize these outcomes, often exceeding initial projections as the system learns your specific Outage Management System patterns.
How quickly can I see results from Reckon Outage Management System automation?
Initial results are typically visible within 2-4 weeks of deployment. Time savings become apparent immediately, while quality improvements and error reduction show within the first month. Full ROI realization usually occurs within 3-6 months. Autonoly's AI agents provide real-time performance dashboards so you can track improvements from day one.
Troubleshooting & Support
How do I troubleshoot Reckon connection issues?
Common solutions include: 1) Verify API credentials and permissions, 2) Check network connectivity and firewall settings, 3) Ensure Reckon API rate limits aren't exceeded, 4) Validate webhook configurations, 5) Review error logs in the Autonoly dashboard. Our AI agents include built-in diagnostics that automatically detect and often resolve common connection issues without manual intervention.
What should I do if my Outage Management System workflow isn't working correctly?
First, check the workflow execution logs in your Autonoly dashboard for error messages. Verify that your Reckon data format matches expectations. Test with a small dataset first. If issues persist, our AI agents can analyze the workflow performance and suggest corrections automatically. For complex issues, our support team provides Reckon and Outage Management System specific troubleshooting assistance.
How do I optimize Outage Management System workflow performance?
Optimization strategies include: Reviewing bottlenecks in the execution timeline, adjusting batch sizes for bulk operations, implementing proper error handling, using AI agents for intelligent routing, enabling workflow caching where appropriate, and monitoring resource usage patterns. Autonoly's AI agents continuously analyze performance and automatically implement optimizations, typically improving workflow speed by 40-60% over time.
Loading related pages...
Trusted by Enterprise Leaders
91%
of teams see ROI in 30 days
Based on 500+ implementations across Fortune 1000 companies
99.9%
uptime SLA guarantee
Monitored across 15 global data centers with redundancy
10k+
workflows automated monthly
Real-time data from active Autonoly platform deployments
Built-in Security Features
Data Encryption
End-to-end encryption for all data transfers
Secure APIs
OAuth 2.0 and API key authentication
Access Control
Role-based permissions and audit logs
Data Privacy
No permanent data storage, process-only access
Industry Expert Recognition
"The platform's AI continuously optimizes our workflows without any manual tuning."
Wendy Parker
Optimization Specialist, AutoOptimize
"Multi-tenancy support allowed us to roll out automation across all business units."
Victor Chen
Enterprise IT Manager, MultiTenant Inc
Integration Capabilities
REST APIs
Connect to any REST-based service
Webhooks
Real-time event processing
Database Sync
MySQL, PostgreSQL, MongoDB
Cloud Storage
AWS S3, Google Drive, Dropbox
Email Systems
Gmail, Outlook, SendGrid
Automation Tools
Zapier, Make, n8n compatible