Best AIOps Platform

Proactively predict and detect major incidents, automate root cause analysis, and prevent service outages

AIOps Solution Overview

Address service disruptions before they happen and provide real-time response to business applications with our SaaS-based AIOps Platform. Aisera’s purpose-built AIOps solution is domain-agnostic and provides a layer of intelligence between your full-stack monitoring and ITSM tools. Now you can proactively resolve major incidents, automate root cause analysis, and prevent outages.

By applying automation to IT Operations, DevOps, and Cloud Operations management, Aisera’s AIOps tool dramatically accelerates diagnosis and resolution times, while minimizing disruption for end-users.

  • Proactive incident management to predict service outages
  • 1200+ pre-built remediation actions for IT and DevOps
  • Real-time dynamic CMDB and automated discovery
  • Predict and remediate major incidents and outages autonomously
AIOps
Data Sheet

Our AIOps Platform's Featured Capabilities

Aisera’s domain-agnostic AIOps software identifies complex behaviors and patterns while analyzing correlations and causality on alerts and incidents across applications, services, and systems. These advanced capabilities enable accurate prediction of outages and major incidents (MIs) while automating the task to find the root cause and executing runbooks for auto-remediation.

Major Incident Detection and Prediction

Using advanced noise suppression techniques and Spatiotemporal correlation techniques, Aisera uncovers the early formation of unique situations (anomaly detection) likely to lead to performance degradation and outage of business-critical services.

IT Service Management

Automated AI Discovery

Artificial Intelligence driven discovery finds applications, devices, and cloud resources on your network to provide continuous visibility into the data center and cloud assets using ITSM and monitoring data.

AI automation, AIOps, Self-service AI

Dynamic CMDB

Aisera’s AIOps leverages change requests, incident tickets, and alerts data to discover enterprise configuration items (both on-prem and cloud) and reconstruct an accurate service topology by exploiting their metadata to keep them current.

ITSM, AIOps, CMDB

Automated Root-Cause Analysis

Precisely analyze data to pinpoint the configuration item(s) which caused each major incident based on the discovered symptoms and similar past major incidents.

AI operations, AI Service Management

Automated Causal Graph

Perform analysis of correlations and causality on alerts and incidents across applications, services, and systems to highlight the immediate impact on the cause and impact on the business uptime.

AI Automation, AIOps

CI and MI Connectivity Graph

The connectivity graph offers actionable insights into how incidents and alerts are impacting users, up/downstream systems, and business applications.

AIOps

What Our Customers Say

"Aisera is leading AI technology that enabled us to improve our productivity while still providing a compelling customer experience. Our partnership with Aisera has allowed us to achieve significant business outcomes, and we are now seeing appreciable deflection of cases within the addressable spectrum for Aisera."
Aneel Jaeel
SVP, Customer Success Group at McAfee
“During these challenging times, NJ Transit provides essential transportation to hospital workers, first responders, and others on the front lines. We partnered with Aisera’s AI Service Desk and Microsoft MS Teams in providing self-service to users, employees, and service agents to improve NJT operations, productivity, and user engagement.”
Bilal Khan
Chief Technology and Security Officer at NJ Transit
"At Dartmouth, we wanted our faculty and students to have immediate answers to their Information and Technology questions online, especially during COVID. With Aisera, we have seen over 60 percent of all IT service desk inquiries auto-resolved through Aisera’s AI Service Desk. Aisera is helping us achieve our goals to innovate and deliver an AI-driven conversational service experience throughout our institution. Our service desk staff and customers are extremely happy with our new next-gen service desk delivery model."
Mitch Davis
CIO at Dartmouth
"Aisera is a leading-edge technology that delivers immediate value. Aisera’s AI Service Desk solution is very unique in improving user experience and resolving IT requests autonomously—reducing the workload on service desk teams, while enabling them to focus on critical business issues."
Gary Wang
Federal Vice President, Cloud, Infrastructure, and Security Services at SAIC/Unisys
“By streamlining our employee service experience to auto-resolve support requests using workflow automation, knowledge, and service catalogs from ServiceNow, Aisera enables Zoom employees to get instant answers to their IT issues. We are ecstatic with the results and benefits that Aisera’s AI Service Desk has given us.”
Gary Chan
Head of IT Infrastructure and Employee Services at Zoom
“Dave wants customers to feel empowered when using our product. Conversational AI a great way for us to immediately provide value and elevate our customer experience. Aisera is a partner we could collaborate with to create and quickly deploy a smart solution that puts customers first, enabling us to see results almost immediately. We look forward to growing with Aisera as a partner and creating dynamic customer solutions.“
Mia Alexander
VP, Customer Success at Dave
"At Ciena, we want our employees to be productive. This means they shouldn’t be trying to figure out how a ticketing tool works, nor should they be waiting around for a tech to fix their issues. We believe that 75 percent of all incidents can be resolved through Aisera’s technology, and we believe we can apply Aisera across multiple platforms. Aisera doesn’t just make great AI technology, they understand our problems and partner with us closely to achieve our mission."
Craig Williams
CIO at Ciena
"Aisera's technology helps us predict complex operational issues before they can affect our business operations. Aisera’s AI Service Experience solution provides value for Autodesk by successfully detecting and predicting major incidents to improve business uptime and service availability."
Prakash Kota
CIO at Autodesk
We chose Aisera to provide Medallia employees great employee experiences as we moved campuses in the Bay Area and continue to scale and increase our global facilities footprint. The Medallia Work Place Services (WPS) team implemented the Aisera platform and its AI-driven chatbot as its first form of global support.
Ashwin Ballal
CIO at Medallia
"Aisera is definitely cutting edge above a lot of other vendors we looked at. Automated intelligent workflows really stood out with Aisera and we saw an immediate pick up in resolution rates that reduced customer effort and helped us drive business outcomes."
Randy Barr
CIO at Aryaka
"Aisera’s AIOps solution is yielding good benefits and value for Autodesk's IT Operations and Service Management teams by preventing outages. Autodesk is now able to proactively detect and predict major incidents with Aisera’s Major Incident Predictor and Dynamic CMDB. Aisera is helping us improve business uptime and service availability by auto-resolving incidents and delivering a fast MTTD."
Navaneeth N
Operations Manager at Autodesk
"As a service provider to businesses ranging from mom-and-pop shops to global enterprises, 8x8 is always looking for ways to innovate our customer service experience, and Aisera is a critical part of that. Their Conversational AI empowers us to auto-resolve support requests in seconds, and our customers love how quickly they can get answers to get on with their business. Aisera's AI Customer Service solution is game-changing!"
Joel Sandi
Sr. Manager, Customer Support Operations at 8x8
“Aisera’s AI technology is transforming our Service Desk to enable a true self-service experience for our employees. With Aisera, we can provide faster solutions to employee problems and provision their requests from IT. Aisera's conversational AI and RPA have significantly improved our employee experience in requesting catalog items and searching knowledge bases for relevant answers to continuously self-learn and improve."
Shankar Subramanian
IT Service Desk Manager at Ciena
“Zoom saw unprecedented growth, which created a need for AI and automation for its customer service to offer a great user experience with accurate and timely service request resolutions. Zoom chose to partner with Aisera to deliver automated case resolutions for billing, subscription management, and technical support-related customer requests. Aisera’s AI Customer Service solution has been instrumental for Zoom’s customer service organization to deliver an exceptional user experience and improve overall customer satisfaction.”
Nick Chong
Head of Global Services & Support at Zoom

AIOps FAQs

What is meant by AIOps?

AIOps proactively predicts and detects major incidents, automates root cause analysis, and prevents service outages. AIOps provides full-stack visibility for business, cloud, and IT operations to minimize disruptions by providing observability, prediction, and remediation services

What are the 4 key stages of AIOps?

  1. Data collection and model training
  2. Automated detection and triage
  3. Automated Response and Remediation
  4. Continuous Learning and Improvement

What problems does AIOps solve?

  1. Maintains a healthy CMDB
  2. Discoverability. Discover your on-premise or IT cloud assets without compromising security
  3. Outage Insights. Detect application performance issues before your customers
  4. Intelligent Alerts. Get early warnings about potential major incidents before they turn into outages
  5. Blind Spots. Correlate signals across your tech stack to avoid blind spots
  6. Impact and Root Cause Analysis. Reduce Mean Time to Detection by automating root cause analysis
  7. AI Workflow Actions: Identify the impact and urgency of an incident and triage accordingly
  8. Major Incident Clustering. Incrementally and continuously learns from new data and from user feedback.

Is AIOps the same as DevOps?

No. DevOps and AIOps serve different purposes.

DevOps builds and deploys software systems that focus on collaboration between the business, development, and operations teams. AIOps removes the need for constant human supervision and intervention with an intelligent, autonomous system that can easily monitor and predict anomalies in applications or an entire IT operations application stack across the organization as a whole.

What is the difference between MLOps and AIOps?

MLOps combines Machine Learning (ML) with DevOps to manage the lifecycle of ML models. MLOps ensures that ML models are deployed in a consistent, scalable, and reliable manner and can adapt to changing data requirements. AIOps on the other hand focuses on the optimization of IT Operations using AI and machine learning.