Astreya introduces a new wave of enterprise AI agents that turn operational signals into real insights and rapid action
Ops teams want less noise, fewer handoffs, and faster fixes. Astreya is pushing in that direction with ready-to-use AI agents you can deploy through marketplaces like the ServiceNow Store and the Databricks Marketplace. The aim: reduce manual effort, improve MTTR, and move from fragmented pilots to outcomes that stick in production.
Why this matters for Operations
- Convert ticketing data, logs, and attachments into clear next steps. Less swivel-chairing, more resolving.
- Automate the repetitive tasks that slow down queues and inflate costs.
- Improve signal-to-action time with platform-native integration instead of bolted-on experiments.
- Stand up quick pilots, measure impact, and scale what works across cloud, workplace, and IT service operations.
What's shipping now (ServiceNow Store)
- TicketLens (new) - One-pane insights across incidents and linked records for faster root cause analysis. Summaries of incidents, child incidents, problems, and changes; CI health checks; correlation of related records; remediation guidance; and a path to guided/automated resolution.
- Astraix - A proactive IT assistant that reads the situation from an image, recommends knowledge, triggers automations, and routes to the right group.
- Attachment Summarizer - Extracts key points from attachments, updates work notes, and surfaces relevant knowledge articles.
- Intelligent Knowledge Builder & Optimizer - Automates creation, deduplication, and quality checks to keep knowledge current and useful.
These solutions are powered by 21 specialized agents and advanced large language models. As part of an early adoption offer, they're available at no charge for the next 3-6 months so teams can test end-to-end impact inside ServiceNow. Explore the ecosystem on the ServiceNow Store.
Structured adoption: assessments that bridge vision and velocity
Astreya's AI Automation Readiness, Maturity & Coverage Assessment is vendor-neutral and built to move you from scattered pilots to a clear plan. You get a maturity and tool-gap analysis, AI readiness scores, benefit projections, and a phased roadmap.
To get an instant read, RapidPulse is a free, five-minute self-assessment covering five pillars: Strategy, Tools & Platform, Data & Infrastructure, Process, and People. The output highlights where automation delivers the most value so you can prioritize investments and sequence deployments with confidence.
Leadership point of view
"Most enterprises are still experimenting with AI in isolated pilots. The problem is that those efforts rarely scale. They stay in the lab, disconnected from the systems that drive real work. That means missed efficiency gains, higher costs, and teams carrying more manual effort than they should. By pairing agent-native applications with structured assessments and deployment playbooks, we embed AI directly where it matters, making businesses faster, leaner, and more resilient. Our new ServiceNow AI agents are a clear example of that shift." - Romil Bahl, CEO, Astreya
Databricks Marketplace debut: DTSi for trusted data-to-decision
Astreya launched Data Trust and Stats Intelligence (DTSi) on the Databricks Marketplace and earned recognition as a validated Databricks Data Partner. DTSi uses five Gemini-enabled agents and more than 15 analytical and statistical techniques-anomaly detection, correlation mapping, predictive modeling, hypothesis testing-to turn complex, unstructured datasets into decision-ready insights. Learn more about the marketplace model here: Databricks Marketplace.
Fueling delivery from Hyderabad
The Enterprise AI Innovation Center in Hyderabad focuses on applied research, rapid prototyping, and hardening solutions for production. It also runs client co-innovation-mapping use cases, assessing readiness, and building adoption roadmaps-so pilots convert into durable operations gains.
"Our Hyderabad Innovation Center is a springboard for enterprise AI, where we validate agent-native ideas, run assessments to surface real value, and then harden solutions for production. Our Enterprise AI capability is global, but hubs like Hyderabad help us compress the cycle from prototype to deployment so clients see measurable outcomes faster," said Jothiganesh Nagarajan, COO, Astreya.
30-day Ops pilot plan
- Select 2-3 high-volume incident types with clear pain (handoffs, long TTR, noisy attachments).
- Baseline MTTR, FCR, backlog age, reopen rate, and agent utilization.
- Install agents from the ServiceNow Store; enable summaries, correlation, and automation triggers in a sandbox.
- Run RapidPulse to spot gaps in data, process, and ownership; assign an ops owner and an automation owner.
- Define guardrails (approvals, rollback, change windows) and log all agent actions for audit.
- Run weekly reviews on metrics, false positives, and knowledge gaps; feed learnings into KB optimization.
- Scale only the use cases with measurable wins; park the rest without ceremony.
For teams building skills alongside deployment
If you're staffing an internal automation pod, consider quick upskilling sprints for analysts, SREs, and service owners. These resources can help:
Bottom line for Operations
Astreya is moving agent-native AI from pilot to practice: marketplace distribution, assessment-driven rollout, and production-grade engineering. If your queues are heavy, knowledge is stale, or incidents bounce between teams, these agents aim to shorten the path from signal to action-and do it inside the platforms your teams already use.
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