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Natural Language Analytics for Faster, Smarter Business Decisions

Our OPS Agent brings natural language intelligence to your business workflows, giving teams the capability to create and have instant access to insights and reports without relying on SQL queries or technical support. This enables leaders and decision-makers to act faster, resolve issues proactively, and remove reporting bottlenecks that slow business performance.

By embedding customizable intelligence, governance, and secure audit trails into one unified interface, the OPS Agent delivers self-service analytics and contextual insights that drive smarter decisions and measurable business outcomes across your entire digital ecosystem

Use Case | Telco

A major telecommunications provider operating complex network infrastructure, requiring efficient and accurate monitoring to ensure service continuity and operational excellence.

The challenge:

With a growing network, outdated and unused monitoring rules created excessive noise and slowed incident response. Limited visibility into linked documentation further delayed troubleshooting. The goal was to simplify monitoring logic, cut operational overhead, and help teams focus on critical issues.

Our approach:

Natural Language Access
Implemented OpsAgent to allow operations teams to query monitoring data in natural language, reducing dependency on technical scripts.
Automated Rule Analysis
Integrated automated detection of outdated and unused monitoring rules to streamline cleanup and maintain accuracy.
Linked Documentation Retrieval
Enabled instant access to related documentation,
empowering faster decision-making and incident resolution.

The results:

Reduced Monitoring Noise
 
Significant drop in false positives, improving focus on real incidents.
Faster Incident Resolution

Natural language queries and linked documentation accelerated troubleshooting and response times.

Optimized Monitoring Environment

Continuous cleanup of unused rules maintained a lean, efficient, and accurate monitoring framework.

Use Case | Telco

Operating one of the most extensive telecom networks in the region, the provider needed smarter ways to manage thousands of daily alarms and maintain high service availability.

The challenge:

With massive volumes of Netcool alarms, the operations team struggled to detect recurring issues and filter noise. The flood of alerts complicated prioritization, slowed resolution, and increased operational strain. The goal was to uncover patterns, cut redundant alarms, and enable faster response to critical events.

Our approach:

Natural Language Queries
Enabled teams to analyze Netcool alarms using OpsAgent through simple, natural language questions.
Alarm Frequency Analysis
Delivered insights into recurring alerts per application to pinpoint noise sources and underlying issues.
Data-Driven Prioritization
Provided actionable intelligence to focus efforts on the most impactful incidents.

The results:

Clearer Alarm Landscape
 
Highlighted recurring alerts and removed redundant rules, creating a cleaner, more actionable alarm system
Proactive Issue Management

Early detection of repetitive alarms helped teams address root causes before they escalated.

Lower Operational Load
Reduced manual filtering of alerts, freeing up resources to focus on
critical network events.

Use Case | Energy

With a portfolio of large-scale solar parks, this energy provider needed a smarter way to monitor asset performance and ensure optimal energy output across distributed sites.

The challenge:

Managing multiple inverters across several solar parks made it difficult to quickly detect performance drops and underutilized assets. Manual data collection and reporting slowed diagnostics and delayed maintenance actions. The goal was to gain real-time visibility, accelerate troubleshooting, and maximize overall energy production.

Our approach:

OpsAgent  Integration
Connected asset data from all solar parks into a centralized, queryable interface.
Performance Benchmarking
Enabled natural language comparisons of inverter output to detect underperforming units instantly.
Automated Reporting
Generated real-time reports to support faster diagnostics and maintenance prioritization.

The results:

Improved Energy Yield
 
Early detection of inefficiencies increased overall solar production
output.
Faster Diagnostics

Real-time performance insights reduced the time to identify and fix
underperforming assets.

Streamlined Operations
Automated reporting minimized manual work, enabling teams to
focus on optimization and maintenance planning.

Use Case | Energy

Managing a diverse network of oil wells across multiple sites, the company needed a more efficient way to track production trends and ensure consistent operational performance.

The challenge:

Production and downtime data were siloed across different wells, making it hard to spot anomalies or benchmark performance. Manual analysis delayed maintenance decisions, increasing the risk of extended downtime and reduced output. The goal was to centralize data access, accelerate anomaly detection, and prioritize interventions to maintain optimal production levels.

Our approach:

Unified Data Access
Integrated production and downtime metrics into OpsAgent for on-demand comparison across wells.
Anomaly Detection
Enabled teams to quickly identify deviations in performance and address potential issues before escalation.
Performance Benchmarking
Provided insights to rank wells by output and guide maintenance priorities effectively.

The results:

Optimized Production Efficiency
 
Faster detection of performance gaps improved overall oil yield.
Reduced Downtime Impact

Prioritized maintenance actions minimized disruptions and sustained output levels.

Data-Driven Decision-Making
Centralized insights empowered operations teams to act proactively and plan interventions with greater accuracy.

Benefits

Talk to Your Data

Ask questions in natural language, in any language, and get instant answers without SQL.

Self-Service, Zero Bottlenecks

Empower business and ops teams to pull metrics and reports on demand, no tech help needed.

Governance You Can Trust

Every query and interaction is tracked for compliance, audits, and secure knowledge reuse.

Intelligence Built Around You

Customize the agent to your business logic and metrics for smarter, context-aware insights.

Challenges

Limited SQL Knowledge Across Ops Teams

Limited SQL Knowledge Across Ops Teams

Non-technical users depend on developers for queries, slowing access to insights.

Reporting Bottlenecks Impacting Agility

Reporting Bottlenecks Impacting Agility

Manual data fetching for ad-hoc reports delays decision-making and execution.

Security at Risk

Security at Risk

Direct database access exposes sensitive data and increases audit and compliance challenges.

Blind Spots in Outages

Blind Spots in Outages

Disconnected metrics and logs make it hard to diagnose issues quickly from a single view.

Other Services

Predictive Maintanance
Predictive Maintenance leverages advanced analytics and AI to unify monitoring across assets, applications, and infrastructure layers. By correlating telemetry, logs, and alerts in real time, we enable proactive detection of hardware failures and software anomalies before they disrupt critical services.

Know More

Our AgenticOPS integrates intelligent context capture into every stage of the support lifecycle, enabling users to report issues seamlessly while providing teams with complete diagnostic information. This approach eliminates ticket friction, accelerates troubleshooting, and ensures faster, more reliable resolutions across complex digital environments.

Know More

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Privacy Policy

Contacts

PT: +351 213 174 421
UK: +44 203 771 7300
US: +1 571-314-0931
BE: +32 2 203 87 41
IN: +91 88843 34234

Contact Us

Sponsored

© 2025 InnoWave. All rights reserved

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