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Solutions // AI OpsHub
Astreya AI OpsHub is an AI native operational cockpit that sits on top of your IT operations tools like ServiceNow, BMC, JIRA, Big Panda, Datadog, and Splunk. It turns fragmented tickets, alerts, and approvals into one calm, coordinated system so work flows smoothly and people can do their best work.
Pain points
Most enterprise IT teams juggle eight to twelve different tools just to keep services running. Tickets sit in ITSM. Alerts live in monitoring tools. Approvals move through email. Knowledge hides in a separate system. No one sees the whole picture.
Engineers bounce between systems, hunting for logs, screenshots, and comments. Context gets scattered, effort is duplicated, and a large share of productive time disappears into clicks instead of fixes.
Tickets hop from queue to queue because of static routing and ambiguous ownership. Tickets land with the wrong teams and sit idle until they are manually reassigned. This "ticket ping-pong" wastes critical response time, forcing unnecessary escalations just to get the right eyes on the problem.
Leaders stare at competing dashboards and still cannot answer simple questions about SLA trends, downtime cost, or automation impact. Traditional reports count tickets but rarely connect AI or automation usage to real business outcomes.
Automations exist, but adoption is low. AI features feel like add ons that people do not fully trust. Field engineers still struggle with weak mobile and offline support, so the people who need help the most are often the last to benefit from AI.
The Astreya Advantage
Astreya AI OpsHub operates as a System of Engagement layered seamlessly on top of your current IT stack. Whether it’s ITSM (ServiceNow, Jira), Observability (Datadog, SCOM), or Logging (Splunk, ELK), we unify your data without displacing it. You keep your Systems of Record; we add intelligence. The result is a single AI-powered cockpit that empowers every persona to see clearly, act faster, and trust the outcome.
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AI OpsHub pulls incidents, requests, changes, MELT, automations, and knowledge into one hub. Engineers see focused queues. Managers see real time workload and SLA risk. Executives finally get a single, reliable view of operational health.
The intelligence in AI OpsHub assists rather than overrides. It helps with triage, routing, diagnosis, root cause analysis, and knowledge suggestions, always with explainable recommendations and humans in the loop. That clarity builds trust and adoption.
Automation is tracked as part of the job, not an experiment on the side. The Intelligence Center shows toil hours saved, incidents prevented, and downtime cost avoided so both engineers and executives see the value.
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Every action in AI OpsHub is governed and auditable. Immutable SLA clocks, AI explainability, approval analytics, and rollback records support ISO, SOC, GDPR, and ITIL-aligned programs and give leaders confidence that services stay resilient as AI and automation scale.
integration with the astreya ecosystem
AI OpsHub sits at the center of Astreya AI operations. These companion solutions plug into the cockpit so assessments, enrichment, and knowledge all flow through one place for your teams.
Solution
Reads incidents and change attachments across PDFs, images, and text. Pulls out what matters, enriches AI OpsHub work items and ServiceNow records, and saves engineers from digging through raw files.
Solution
Generates draft knowledge articles from AI OpsHub activity, tickets, and chats. Flags stale content, suggests updates, and tracks which articles actually close incidents so SMEs focus effort where it counts.
Solution
Provides a detailed, real-time view of how work flows through your team, and spots the problems immediately about what is exactly slowing you down and get intimated through instant notification mails and messages.
Let us show you how AI OpsHub can give your teams a single place to see work, trust AI, and move faster with less stress.
Use cases
Downtime hits churn and brand sentiment immediately. AI OpsHub connects support signals with backend alerts to identify root causes fast. AI prioritizes by user impact, routes to the right engineers, and surfaces similar past incidents. Predictive operations flag potential breaches during viral peaks before users notice.
Rapid deployment cycles can't come at the expense of reliability. AI OpsHub integrates with CI/CD and observability stacks to contextualize incidents against code changes or infrastructure updates. Engineers see logs, recommendations, knowledge, and automation in one screen. AI cuts through alert noise and traces issues to source immediately.
Security of a bank, speed of a startup. AI OpsHub manages transaction failures and security incidents in one view. AI ranks by business impact and regulatory risk, routes to the right expertise. Every action is documented in immutable, audit-ready logs. Compliance isn't an afterthought, it's built in.
Key capabilities
AI ranks every task based on SLA urgency, business impact, and historical patterns, then routes it to the right engineer based on skills, location, workload, and availability.
Everything needed to resolve an issue in one place. Context, recommendations, knowledge, logs, approvals, automation. No toggling between tools, no lost context.
Engineers, managers, SREs, and executives each see the metrics that matter to their role, with AI highlighting what needs attention and why.
AI flags potential breaches and recurring issues before they impact users. It identifies automation opportunities, underperforming knowledge articles, and process bottlenecks. Then it suggests specific actions to fix them. Problems get solved before they impact users.
Every automation is tracked for time saved and cost avoided. Executives see dollar impact, teams see hours reclaimed, and finance sees the business case.
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