Today's enterprises run on a complex web of automation spanning multiple schedulers, platforms, and environments. With 80% of companies using three or more automation platforms1Dimensional Research, How Too Many Obscure Automation Issues, 2023, this fragmentation creates silos that obscure dependencies and hide risk.
While basic observability and monitoring tools tell you what happened after a failure, they can't tell you what's about to happen or the true business impact. This leaves your teams in a constant state of reactive firefighting, leading to:
Unpredictable Service Delivery and Missed SLAs
Increased Operational Risk and costly downtime (averaging over $1M per hour for large enterprises)
Wasted Resources and an inability to proactively optimize critical processes.

A Dimensional Research Global Survey of Security & IT Professionals and Executives
DOWNLOAD REPORTTo truly take control, you don’t need more monitoring; you need intelligence.
Automation Intelligence provides you with observability and so much more. It provides a unified view of your entire automation landscape, along with advanced analytics that enable you to analyze, predict, and optimize for business outcomes.
Automation environments are extremely complex. At any given organization, there are often multiple automation tools and multiple vendors, with hundreds of thousands — if not millions — of individual jobs running every week. It’s essential to gain unified visibility and proactively manage your workload to keep critical processes humming happily.
Regardless of industry, automation tools play a critical role in business success. Service Level Agreements are often put in place to ensure that the business runs smoothly, maximizes its profits, and satisfies its customers.
By defining and monitoring SLAs for automated business processes, organizations gain the ability to measure and analyze past performance; monitor, alert, and act on today’s performance insights; and forecast future performance to minimize risk.
While tools like Splunk and Tableau provide data analysis and visualization, they have limited real-time monitoring, lack seamless integration, and limit proactive interaction with live data from enterprise automation solutions. AAI is a purpose-built solution for workload visualization and optimization with advanced SLA management and predictive analytics.
of surveyed IT professionals want a more centralized view of workload automation across business and IT.2Dan Twing of EMA Research, Automation Intelligence: A Holistic View to Improve Business Outcomes, 2020
Move beyond tactical tasks and jobs to gain a holistic view of end-to-end business processes, while monitoring and optimizing them across complex interdependent systems and teams. AAI supports Automic Automation, AutoSys, CA 7, ESP, IBM Workload Automation, Control-M, Tidal, and Airflow.
85% of surveyed IT professionals say they have had one or more SLA breaches in the last 12 months.3EMA, WLA Transformation Research, 2023
Ensure SLA delivery with smart alerting, dynamic and automated critical path visualization, and process dependency insight. Get SLA insight with role-based dashboards for workload teams, process owners, and executives, as well as customizable regulatory and compliance reporting.
Find unseen impacts and dependencies across applications, platforms, and vendors.
Predict future performance issues and identify areas for optimization with an archive of historical contextual data and derived metrics combined with powerful proprietary statistical algorithms.
Customizable insights dashboards include Audit History, Processing Load, Job Status, and more.
Gain actionable business insights from operational data generated by automated workflows. Provide service delivery managers, business process owners, and SRE leaders with dynamic, interactive, and shareable Data Insights that enable them to make informed decisions on optimizing automation strategies.
- Senior IT Executive
- Director of Technology Operations, Global Financial Institution
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EBOOK: Requirements for Effective Automation DOWNLOAD
EBOOK: Establishing Effective SLA Management to Improve Automation Service Delivery DOWNLOAD
BLOG POST: Move Beyond Observability: Ensure Service Delivery for Mission-Critical Business Processes READ BLOG
EMA CASE STUDY: Automation Intelligence Reduces Job Failure Incidents by 60% for a Top 10 Global Financial Institution DOWNLOAD
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