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Leverage the potential of the AI to optimize operations, lowering costs and deliver excellence. Besides triaging support tickets, AiDMS is all set to automate IT infrastructure monitoring and improve service levels of IT support.
CIOs will aggressively apply data and AI to IT operations, tools, and processes by 2021 – IDC
With an increased dependency on IT and the growing amount of scope and complexity, embracing technologies like AI / ML is on the radar for every CIO. The potential and promise of AI is helping organizations intelligently manage infrastructure, applications performance, resilience, support desk efficiency, uptime, and cost advantage.
Acuvate’s AI-driven managed services (AiDMS) is helping CIOs reduce organizations service desk costs, optimize cloud spending and automate and enhance IT operations through analytics and machine learning (ML).
This managed service is skinned to better predict and transform future outcomes, refocus resources on higher-value work and build more intelligent IT environments that are cost-effective and available 24×7. It enables organizations to introduce automation at the infrastructure level as a service. Key components of this service include the below:
Service desk automation
Intelligent alerts and incident reporting
Reduce event noise
Machine learning
Base lining of performance
Anomaly detection
Root cause analysis automation
Predictive insights and information
Server sizing
Server provisioning
Configuration management
Infrastructure optimization
DM Management
Infrastructure as a code
Application performance monitoring
Azure monitoring
L0 support
L1 & L2 Agent handover
Knowledge database
Triage requests
Service delivery task automation
This quick and intuitive ROI calculator is designed for CxO’s to estimate the potential cost savings for IT operations concerning Support and Maintenance.
This tool primarily captures the basic information and forecasts the impact and the net ROI that Acuvate’s AiDMS (when implemented) can bring to the organization. This outcome prediction will help CxOs in understanding the cost + efficiency savings.
Furthermore, it sheds light on the additional budget that can be freed up for further allocation to Business Transformation IT projects.
Productivity gains from the elimination of low-value, repetitive tasks across the incident lifecycle
Rapid issue remediation with faster root cause analysis
Better infrastructure performance through noise reduction
Overall cost reduction leaving more budget for transformation activities
Source: The State of AIOps
Acuvate’s IP portfolio comprising of BotCore, Optimum, and Azure Cost Optimization (ACO) leveraging AI technologies for intelligent automation are planted to practice efficiently. Our accelerators have demonstrated outcomes in reducing cost, increasing predictability, and service levels.
Right from the round the clock availability of a support agent for a quick resolution to RPA bots in ACO granting role-based access, upon approval, to different systems without any wait time our IP handles it all. Reducing the SLA from hours to a few minutes, if not seconds, immensely boosts productivity and uptimes. Predictive maintenance on application and infrastructure to optimize and ensure uptime is our forte.
Our IP in infra optimization in most cases had carved out potential cost reductions of 30+% and constantly keep monitoring the various applications, SharePoint sites, content on usage, and access and recommend actions like purge or consolidation.
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