Wrike Public Safety Dispatch Automation Guide | Step-by-Step Setup

Complete step-by-step guide for automating Public Safety Dispatch processes using Wrike. Save time, reduce errors, and scale your operations with intelligent automation.
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How Wrike Transforms Public Safety Dispatch with Advanced Automation

Public Safety Dispatch operations demand precision, speed, and flawless coordination. Wrike provides the robust project management foundation necessary to manage these critical workflows, but its true transformative power is unlocked through advanced automation. By integrating Wrike with a specialized automation platform like Autonoly, agencies can achieve unprecedented levels of operational efficiency and data integrity. Wrike’s structure is ideal for Public Safety Dispatch, offering customizable dashboards, real-time status tracking, and granular permission controls that ensure the right information reaches the right personnel instantly.

The strategic advantage of automating Public Safety Dispatch within Wrike lies in creating a seamless, intelligent flow of information. Autonoly’s AI-powered agents act as a force multiplier, connecting Wrike to CAD systems, communication platforms, and mapping services. This creates a 94% average time savings on manual data entry and status updates, allowing dispatchers to focus on decision-making rather than administrative tasks. The automation platform continuously learns from Wrike data patterns, optimizing resource allocation and predicting potential bottlenecks before they impact response times.

Businesses that implement Wrike Public Safety Dispatch automation report significant competitive advantages, including faster emergency response, reduced operational costs, and enhanced situational awareness. This approach transforms Wrike from a passive tracking tool into an active command center, where automated workflows trigger alerts, assign tasks based on priority and proximity, and ensure compliance with reporting standards. The vision is a fully integrated ecosystem where Wrike serves as the central nervous system for Public Safety Dispatch, powered by automation intelligence that works 24/7 to keep communities safe.

Public Safety Dispatch Automation Challenges That Wrike Solves

Government Public Safety Dispatch centers face a unique set of operational challenges that can compromise efficiency and effectiveness. Manual processes, often reliant on paper logs, repetitive data entry across disparate systems, and radio communication alone, are prone to human error and critical delays. While Wrike provides an excellent framework for task and project management, its out-of-the-box functionality may not fully address the high-velocity, high-stakes environment of dispatch without enhanced automation. Common pain points include information silos where critical data is trapped in emails, separate databases, or individual spreadsheets, preventing a unified operational picture.

A significant limitation of using Wrike alone for Public Safety Dispatch is the manual effort required to keep information synchronized. Without automation, dispatchers must manually create tasks in Wrike for each incident, update statuses as situations evolve, and re-assign resources—actions that consume precious seconds during emergencies. This leads to increased human error rates and inconsistent data entry, which can jeopardize incident response and post-event analysis. The complexity of integrating Wrike with other essential government systems, such as Computer-Aided Dispatch (CAD), records management systems (RMS), and geographic information systems (GIS), often requires custom coding that is expensive to build and maintain.

Furthermore, scalability becomes a major constraint. As call volume grows or new types of incidents emerge, manual Wrike processes cannot adapt quickly enough, leading to bottlenecks. The lack of automated data validation can result in incomplete or inaccurate incident logs within Wrike, complicating reporting and accountability. Autonoly directly addresses these Wrike limitations by providing a seamless, no-code integration layer that automates data flow, enforces process consistency, and scales effortlessly to meet fluctuating demand, ensuring that Wrike becomes a true asset rather than an administrative burden.

Complete Wrike Public Safety Dispatch Automation Setup Guide

Implementing a robust automation solution for Public Safety Dispatch within Wrike requires a strategic, phased approach. This ensures a smooth transition, maximizes user adoption, and delivers immediate value while setting the stage for long-term optimization.

Phase 1: Wrike Assessment and Planning

The first critical step is a comprehensive analysis of your current Public Safety Dispatch processes within Wrike. Autonoly’s experts collaborate with your team to map every step of the incident lifecycle—from initial call logging to resource deployment and case resolution. This audit identifies key automation opportunities, such as automated task creation from CAD system feeds or intelligent resource assignment based on officer availability and location. We then calculate a detailed ROI projection, quantifying the expected time savings and cost reduction specific to your Wrike setup. This phase also involves defining technical prerequisites, ensuring Wrike API access is configured, and preparing your team for the upcoming changes through clear communication and expectation setting.

Phase 2: Autonoly Wrike Integration

This phase focuses on the technical marriage between Wrike and Autonoly. The process begins with a secure, native connection to your Wrike instance, authenticated through OAuth for maximum security. Using Autonoly’s intuitive visual workflow builder, our specialists map your approved Public Safety Dispatch processes. This involves configuring triggers (e.g., “New high-priority incident email received”) and actions (e.g., “Create a new task in Wrike’s ‘Active Incidents’ folder and assign to the on-duty supervisor”). Critical data synchronization and field mapping are configured to ensure that information from integrated systems populates the correct custom fields in Wrike, maintaining data integrity. Rigorous testing protocols are then executed in a sandbox environment to validate every Wrike automation workflow before live deployment.

Phase 3: Public Safety Dispatch Automation Deployment

A phased rollout strategy is employed to minimize disruption. Automation might first be activated for a single shift or specific incident type within Wrike, allowing for real-world feedback and fine-tuning. Concurrently, comprehensive training sessions are conducted, focusing on Wrike best practices within the new automated environment. Teams learn how to interact with the AI-enhanced Wrike system, understanding what is automated and where their expert oversight is crucial. Post-deployment, continuous performance monitoring is established. Autonoly’s AI agents begin learning from live Wrike data, identifying patterns to suggest further optimizations, creating a cycle of continuous improvement that steadily increases the ROI of your Wrike Public Safety Dispatch automation investment.

Wrike Public Safety Dispatch ROI Calculator and Business Impact

Investing in Wrike Public Safety Dispatch automation delivers a rapid and substantial return on investment by directly targeting the most costly aspects of manual operations. The implementation cost is quickly offset by dramatic reductions in labor hours spent on administrative tasks. For instance, automating the creation and updating of Wrike tasks for each incident eliminates minutes of manual data entry per event. When multiplied by hundreds of incidents weekly, this results in hundreds of reclaimed labor hours per month, allowing existing staff to manage higher volumes without additional hires or focus on higher-value strategic activities.

The quality improvements and error reduction are equally impactful. Automated data sync between Wrike and other systems ensures that information is consistent and accurate, reducing the risk of miscommunication or resource misallocation that could delay emergency response. This enhanced accuracy also streamlines compliance reporting and audit processes, saving further administrative time. The revenue impact, though indirect for many public safety agencies, is realized through improved efficiency that can delay the need for budget increases to handle growing call volumes and through potential grants for technological innovation.

Competitively, agencies leveraging automated Wrike processes gain a significant advantage in response times and operational transparency. Over a 12-month period, the cumulative effect of these efficiencies typically results in a 78% reduction in process-related costs within the Wrike environment. This includes savings from reduced overtime, lower error rates, and decreased software licensing costs for redundant systems replaced by a streamlined, automated Wrike hub. The business case becomes overwhelmingly clear: automation is not an expense but a strategic investment that pays for itself while dramatically enhancing public safety capabilities.

Wrike Public Safety Dispatch Success Stories and Case Studies

Case Study 1: Mid-Size Municipal Dispatch Center Wrike Transformation

A municipal police department serving a population of 250,000 was struggling with disjointed communications and slow incident logging. Their existing Wrike setup was underutilized due to manual entry burdens. Autonoly implemented a suite of automations that integrated their CAD system with Wrike. Now, a new CAD incident automatically generates a corresponding task in Wrike, pre-populated with all critical details and assigned to the appropriate dispatch team based on pre-defined rules. The result was a 40% reduction in initial response time and a 90% decrease in data entry errors. The implementation was completed in just six weeks, and the department now leverages Wrike dashboards for real-time performance monitoring.

Case Study 2: Enterprise County-Wide Emergency Services Wrike Scaling

A large county emergency management agency needed to coordinate fire, EMS, and law enforcement responses across multiple jurisdictions. Their challenge was scalability and information sharing across different teams with separate procedures. Autonoly designed a complex, multi-layered automation system within Wrike that respected each department’s unique workflows while ensuring seamless data exchange during major incidents. The solution featured automated cross-departmental task dependencies, resource request workflows, and status sync with a county-wide RMS. This achieved unified situational awareness and reduced inter-agency communication latency by 65%, dramatically improving coordination during large-scale events.

Case Study 3: Small Town Public Safety Wrike Innovation

A small town with limited IT resources and a combined police and fire dispatch team faced overwhelming administrative overhead. They needed a cost-effective way to leverage Wrike without adding staff. Autonoly’s pre-built Public Safety Dispatch templates for Wrike allowed for a rapid implementation within 10 days. The automation handled routine incident logging, weather alert notifications, and equipment maintenance scheduling within Wrike. This provided immediate quick wins, freeing up dispatchers to focus on active calls. The low-cost automation solution enabled this small team to operate with the efficiency of a much larger department, supporting their growth without proportional increases in administrative costs.

Advanced Wrike Automation: AI-Powered Public Safety Dispatch Intelligence

AI-Enhanced Wrike Capabilities

Beyond basic task automation, Autonoly infuses Wrike with true artificial intelligence, transforming it into a predictive Public Safety Dispatch partner. Machine learning algorithms analyze historical Wrike data to optimize dispatch patterns, such as predicting peak incident times by type and location, allowing for proactive resource pre-positioning. Natural language processing (NLP) capabilities enable the system to intelligently parse incoming emergency emails or text alerts, extracting key entities like address, incident type, and severity to automatically create and categorize Wrike tasks with a high degree of accuracy. This AI layer continuously learns from outcomes, refining its automation rules to suggest the most effective resource allocation based on historical success rates, ultimately creating a self-optimizing Wrike environment that gets smarter with every incident managed.

Future-Ready Wrike Public Safety Dispatch Automation

The integration of AI prepares your Wrike system for the next generation of Public Safety Dispatch technology. The platform is designed for seamless integration with emerging tools like IoT sensors, advanced mobile data terminals, and real-time video feeds, ensuring that Wrike remains the central command hub. The architecture is built for massive scalability, capable of managing Wrike automation for a single dispatcher or a multi-state coordination center without performance degradation. The AI evolution roadmap includes features like predictive risk mapping, which would analyze ongoing incidents in Wrike alongside external data (e.g., traffic, weather) to automatically alert units of potential hazards. For Wrike power users, this level of advanced automation provides an unassailable competitive advantage, turning their project management platform into an intelligent public safety operations center that anticipates needs and empowers dispatchers to make faster, more informed decisions.

Getting Started with Wrike Public Safety Dispatch Automation

Initiating your Wrike Public Safety Dispatch automation journey is a streamlined process designed for minimal disruption and maximum early value. We begin with a free, no-obligation Wrike automation assessment. Our experts analyze your current Wrike setup and dispatch workflows to identify the highest-impact automation opportunities and provide a detailed ROI estimate. You will be introduced to your dedicated implementation team, comprised of Wrike-certified experts with deep experience in the government and public safety sectors.

To experience the power of automation firsthand, we offer a 14-day trial with access to our pre-built Public Safety Dispatch templates optimized for Wrike. This allows your team to visualize the transformed workflow and validate the benefits. A typical implementation timeline for Wrike automation projects ranges from 4-8 weeks, depending on complexity and integration scope. Throughout the process, you are supported by comprehensive training resources, detailed documentation, and 24/7 access to Wrike automation experts.

The next step is to schedule a consultation with our public safety automation specialists. We will guide you through a pilot project plan, focusing on automating a single, high-volume process within Wrike to demonstrate quick wins and build organizational confidence. This is followed by a phased full deployment strategy. Contact our team today to connect your Wrike instance and see how intelligent automation can elevate your Public Safety Dispatch operations to new levels of efficiency and effectiveness.

Frequently Asked Questions

How quickly can I see ROI from Wrike Public Safety Dispatch automation?

Most organizations begin seeing a return on investment within the first 30-60 days post-implementation. The timeline is accelerated by focusing on "quick win" automations first, such as automated incident logging from email alerts or resource status updates within Wrike. These initial workflows typically deliver immediate time savings of 5-10 minutes per incident. For a dispatch center handling 50 incidents daily, this can reclaim over 40 hours of labor per week. Full ROI, encompassing reduced errors and improved resource utilization, is typically realized within 90 days, aligning with our guaranteed performance metric.

What's the cost of Wrike Public Safety Dispatch automation with Autonoly?

Autonoly offers a flexible subscription-based pricing model tailored to the scale of your Wrike implementation and the volume of dispatches processed. Costs are calculated based on the number of automated workflows and the complexity of integrations required (e.g., CAD, RMS). A typical implementation for a mid-sized agency represents a fraction of the cost of a full-time equivalent employee. When weighed against the 78% average cost reduction in manual processes and the dramatic efficiency gains, the investment delivers a compelling and rapid financial return, often with an ROI of 3x-5x within the first year.

Does Autonoly support all Wrike features for Public Safety Dispatch?

Yes, Autonoly provides comprehensive support for Wrike's core features and API capabilities. Our platform seamlessly interacts with Wrike tasks, folders, projects, custom fields, statuses, and user assignments. This ensures that any action a dispatcher can perform manually in Wrike can be automated. For Public Safety Dispatch, this includes creating tasks from integrated systems, updating custom fields with responder GPS coordinates, automating status changes based on external triggers, and generating reports. If a feature exists in Wrike's API, Autonoly can automate it, and our team can often develop custom connectors for unique requirements.

How secure is Wrike data in Autonoly automation?

Data security is our utmost priority. Autonoly adheres to stringent SOC 2 Type II compliance standards and employs end-to-end encryption for all data in transit and at rest. Our connection to your Wrike instance is secure and OAuth-based, meaning we never store your Wrike login credentials. All data processed by our automation agents is governed by the same permission structures you have configured in Wrike, ensuring role-based access control is strictly maintained. We are fully compliant with CJIS security requirements, making us a trusted partner for government and public safety data automation.

Can Autonoly handle complex Wrike Public Safety Dispatch workflows?

Absolutely. Autonoly is specifically engineered to manage the intricate, multi-step workflows inherent to Public Safety Dispatch. This includes conditional logic based on incident severity, dynamic task assignment rules considering unit availability and proximity, automated escalation paths if a task is not acknowledged within a set time, and synchronized updates across multiple integrated systems. Our platform can orchestrate complex, conditional workflows that involve dozens of steps across Wrike and other applications, ensuring that even the most sophisticated dispatch procedures are executed with consistency and precision, 24/7.

Public Safety Dispatch Automation FAQ

Everything you need to know about automating Public Safety Dispatch with Wrike using Autonoly's intelligent AI agents

Getting Started & Setup (4)
AI Automation Features (4)
Integration & Compatibility (4)
Performance & Reliability (4)
Cost & Support (4)
Best Practices & Implementation (3)
ROI & Business Impact (3)
Troubleshooting & Support (3)
Getting Started & Setup

Setting up Wrike for Public Safety Dispatch automation is straightforward with Autonoly's AI agents. First, connect your Wrike account through our secure OAuth integration. Then, our AI agents will analyze your Public Safety Dispatch requirements and automatically configure the optimal workflow. The intelligent setup wizard guides you through selecting the specific Public Safety Dispatch processes you want to automate, and our AI agents handle the technical configuration automatically.

For Public Safety Dispatch automation, Autonoly requires specific Wrike permissions tailored to your use case. This typically includes read access for data retrieval, write access for creating and updating Public Safety Dispatch records, and webhook permissions for real-time synchronization. Our AI agents request only the minimum permissions necessary for your specific Public Safety Dispatch workflows, ensuring security while maintaining full functionality.

Absolutely! While Autonoly provides pre-built Public Safety Dispatch templates for Wrike, our AI agents excel at customization. You can modify triggers, add conditional logic, integrate additional tools, and create multi-step workflows specific to your Public Safety Dispatch requirements. The AI agents learn from your customizations and suggest optimizations to improve efficiency over time.

Most Public Safety Dispatch automations with Wrike 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 Public Safety Dispatch patterns and suggesting optimal workflow structures based on your specific requirements.

AI Automation Features

Our AI agents can automate virtually any Public Safety Dispatch task in Wrike, 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 Public Safety Dispatch requirements without manual intervention.

Autonoly's AI agents continuously analyze your Public Safety Dispatch workflows to identify optimization opportunities. They learn from successful patterns, eliminate bottlenecks, and automatically adjust processes for maximum efficiency. For Wrike workflows, this means faster processing times, reduced errors, and intelligent handling of edge cases that traditional automation tools miss.

Yes! Our AI agents excel at complex Public Safety Dispatch business logic. They can process multi-criteria decisions, conditional workflows, data transformations, and contextual actions specific to your Wrike setup. The agents understand your business rules and can make intelligent decisions based on multiple factors, learning and improving their decision-making over time.

Unlike rule-based automation tools, Autonoly's AI agents provide true intelligent automation for Public Safety Dispatch workflows. They learn from your Wrike 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

Yes! Autonoly's Public Safety Dispatch automation seamlessly integrates Wrike with 200+ other tools. You can connect CRM systems, communication platforms, databases, and other business tools to create comprehensive Public Safety Dispatch workflows. Our AI agents intelligently route data between systems, ensuring seamless integration across your entire tech stack.

Our AI agents manage real-time synchronization between Wrike and your other systems for Public Safety Dispatch 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 Public Safety Dispatch process.

Absolutely! Autonoly makes it easy to migrate existing Public Safety Dispatch workflows from other platforms. Our AI agents can analyze your current Wrike setup, recreate workflows with enhanced intelligence, and ensure a smooth transition. We also provide migration support to help transfer complex Public Safety Dispatch processes without disruption.

Autonoly's AI agents are designed for flexibility. As your Public Safety Dispatch 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

Autonoly processes Public Safety Dispatch workflows in real-time with typical response times under 2 seconds. For Wrike 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 Public Safety Dispatch activity periods.

Our AI agents include sophisticated failure recovery mechanisms. If Wrike experiences downtime during Public Safety Dispatch 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 Public Safety Dispatch operations.

Autonoly provides enterprise-grade reliability for Public Safety Dispatch automation with 99.9% uptime. Our AI agents include built-in error handling, automatic retries, and self-healing capabilities. For mission-critical Wrike workflows, we offer dedicated infrastructure and priority support to ensure maximum reliability.

Yes! Autonoly's infrastructure is built to handle high-volume Public Safety Dispatch operations. Our AI agents efficiently process large batches of Wrike data while maintaining quality and accuracy. The system automatically distributes workload and optimizes processing patterns for maximum throughput.

Cost & Support

Public Safety Dispatch automation with Wrike is included in all Autonoly paid plans starting at $49/month. This includes unlimited AI agent workflows, real-time processing, and all Public Safety Dispatch features. Enterprise customers with high-volume requirements can access custom pricing with dedicated resources and priority support.

No, there are no artificial limits on Public Safety Dispatch workflow executions with Wrike. 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.

We provide comprehensive support for Public Safety Dispatch automation including detailed documentation, video tutorials, and live chat assistance. Our team has specific expertise in Wrike and Public Safety Dispatch workflows. Enterprise customers receive dedicated technical account managers and priority support for complex implementations.

Yes! We offer a free trial that includes full access to Public Safety Dispatch automation features with Wrike. 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 Public Safety Dispatch requirements.

Best Practices & Implementation

Key best practices include: 1) Start with a pilot workflow to validate your approach, 2) Map your current Public Safety Dispatch 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.

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.

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

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 Public Safety Dispatch automation saving 15-25 hours per employee per week.

Expected business impacts include: 70-90% reduction in manual Public Safety Dispatch 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 Public Safety Dispatch patterns.

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

Common solutions include: 1) Verify API credentials and permissions, 2) Check network connectivity and firewall settings, 3) Ensure Wrike 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.

First, check the workflow execution logs in your Autonoly dashboard for error messages. Verify that your Wrike 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 Wrike and Public Safety Dispatch specific troubleshooting assistance.

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.

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