Modern automation environments generate vast amounts of operational data. Automation Intelligence solutions help organisations transform that data into actionable insight, providing workload analytics, observability, predictive SLA monitoring and AI-assisted operations.
Extra Technology has more than two decades of experience helping organisations deploy, optimise and modernise automation intelligence platforms across Broadcom, BMC, Stonebranch and other leading technologies.
Automation Intelligence combines analytics, forecasting, observability and AI-assisted operations to improve visibility and decision-making across enterprise automation environments.
Broadcom Automation Analytics & Intelligence (AAI) is one of the industry’s leading workload analytics and observability platforms, providing predictive SLA monitoring, business service visibility and cross-platform analytics across complex automation environments.
AAI helps organisations understand how business services perform across multiple automation technologies while providing proactive insight into potential service risks.
AAI analyses workload behaviour, dependencies and historical trends to forecast SLA risks before users are impacted.
Monitor business services spanning multiple workload automation technologies through a single operational view.
Track end-to-end business processes rather than individual jobs and servers.
Identify bottlenecks, recurring issues and service trends more quickly.
Extra Technology has extensive experience with Broadcom AAI, Broadcom iDash, BMC Control-M Workflow Insights, Control-M Forecast, Batch Impact Manager and Stonebranch analytics and AI-powered operational capabilities. We help organisations select and implement the most appropriate analytics, observability and intelligence solutions for their environment.
In addition to BMC Jett, automation vendors including Broadcom and Stonebranch are investing heavily in AI-powered assistants that help operators and developers build, understand and troubleshoot automation workflows using natural-language interaction.
These capabilities are expected to significantly reduce the time required to develop, document and support increasingly complex automation environments.
Jett is an AI-powered assistant integrated with BMC Control-M that helps operators, developers and administrators understand, build and troubleshoot workload automation environments using natural-language interaction.
Developers can describe a workflow in business language and use Jett to generate an initial Control-M workflow structure, accelerating development and reducing manual effort.
AAI uses historical patterns, workload dependencies and real-time operational data to forecast potential delays.
AAI provides modern analytics, predictive SLA monitoring and enhanced observability capabilities.
AAI integrates directly with leading workload automation platforms to provide unified monitoring and reporting.
Automation Intelligence combines analytics, observability, forecasting and AI-assisted operations to improve decision-making across automation environments.
Yes. Modern platforms can provide visibility across multiple workload automation and orchestration technologies.
For most organisations, AAI is the strategic successor to iDash and provides enhanced reporting, analytics and observability capabilities.
No. AI assistants are designed to augment operational and development teams by accelerating analysis, troubleshooting and workflow creation.
Yes. Extra Technology provides consulting, implementation, migration, optimisation and training services across a range of automation intelligence platforms.