Agentic AI-Powered Monitoring and Incident Management
Infosys Ltd · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Solution Overview
Data-driven enterprises face
Show the rest of the publisher’s description (56 more lines)
increasing complexity in monitoring pipelines and ensuring seamless data
operations. Traditional manual monitoring is slow, error-prone, and reactive,
leading to delayed issue detection, business disruptions, and high operational
overheads. As organizations scale, legacy approaches fail to provide proactive
insights, predictive detection, and automated resolution.
Infosys Automated
Monitoring Framework with Agentic AI
addresses these challenges by bringing intelligence, automation, and agility to
data operations. Leveraging Agentic AI, the solution continuously monitors data
pipelines, classifies failures, performs automated root cause analysis, and
proactively alerts stakeholders hence reducing downtime, accelerating recovery,
and driving operational efficiency.
Key Capabilities
- Intelligent
Monitoring and Detection
Continuously
track Azure Data Factory (ADF) logs, pipeline executions, and failures;
identify missing feeds; and provide real-time dashboards for data quality
and operational health.
- Automated
Root Cause Analysis
Leverage
AI-driven pattern recognition to classify issues (e.g., schema mismatches,
missing data, drift, integrity violations) and pinpoint the root cause for
faster resolution.
- Consolidated
Stakeholder Communication
Centralized
notification system aggregates incident details, RCA, and resolution
updates; automated structured alerts keep stakeholders informed and
aligned.
- AI-Augmented
Infrastructure Automation
Detect
infrastructure issues early and trigger automated resolution workflows
while keeping human experts in the loop for critical interventions.
Business Benefits
- Reduce
Operational Overheads
Automate
routine monitoring and RCA, freeing up engineering time.
- Accelerate
Incident Resolution
Proactively
identify and resolve issues before they escalate into business
disruptions.
- Enhance
Data Reliability
Improve
data trustworthiness through accurate detection and remediation of
pipeline issues.
- Enable
Scalability
Support
growing data volumes and complex pipelines with intelligent, AI-driven
oversight.
Preview
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-10
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

