
Enhance your Enterprise IT Operations through AI-Powered Insights and Autonomous Actions
Enterprise applications have grown increasingly complex due to the adoption of microservices, cloud-native architectures and hybrid environments. These systems, while enabling scalability and agility, introduce intricate interdependencies and asynchronous communication patterns that make them harder to manage and troubleshoot. As a result, operations teams must contend with a dynamic, distributed landscape where understanding system behavior requires deep visibility across numerous components.
To gain this visibility, organizations have embraced observability, generating massive volumes of telemetry data—logs, metrics, and traces. This explosion of data has created its own challenges: increased signal-to-noise ratios resulting in increased cognitive load on operators and longer MTTD (mean-time-to-detect), MTTI (mean-time-to-investigate) and MTTR (mean-time-to-repair).


Coforge has embarked on an ambitious mission - Mission Zero - to achieve Zero Touch (Operations), Zero Disruption (of Enterprise Systems) and Zero Friction (to enterprise end users) by integrating AI agents in every stage of the technology operations lifecycle.
Introducing EvolveOps.AI – a next generation, Autonomous IT Operations Management Platform that delivers end-to-end autonomous operations across the entire lifecycle of your Hybrid Cloud resources – from design, build, analyze to autonomous resolution
Key Modules of EvolveOps.AI

Hybrid Cloud Manager
Supports full stack builds across hyperscalers (AWS, Azure, GCP, OCI) and private cloud environments, offering FinOps automation and developer empowerment.

AI Control Tower
An AIOps platform ingests enterprise telemetry across multiple sources, provides real-time contextual insights, performs autonomous root cause analysis and resolution of recurring issues

Ops Insights
Facilitates operational data analysis, pattern detection, and AI/ML model deployment for contextualized problem resolutiFon and operational insights.

Bot Factory
Offers a library of hundreds of pre-built resolver bots across a host of ITOps personas, with a low-code/no-code tools for automating repetitive IT tasks, change management, and security assessments.

Hybrid Cloud Manager
Supports full stack builds across hyperscalers (AWS, Azure, GCP, OCI) and private cloud environments, offering FinOps automation and developer empowerment.

AI Control Tower
An AIOps platform ingests enterprise telemetry across multiple sources, provides real-time contextual insights, performs autonomous root cause analysis and resolution of recurring issues

Ops Insights
Facilitates operational data analysis, pattern detection, and AI/ML model deployment for contextualized problem resolutiFon and operational insights.

Bot Factory
Offers a library of hundreds of pre-built resolver bots across a host of ITOps personas, with a low-code/no-code tools for automating repetitive IT tasks, change management, and security assessments.
Coforge Blueprint for Autonomous Operations
EvolveOps.AI leverages a comprehensive framework designed to enhance technology operations through AI powered solutions:
- A Data Fabric for Technology Operations involves harmonization, enrichment, deduplication, and correlation of data across various sources of enterprise system telemetry. EvolveOps.AI has over a 120 (and growing) integration hooks with different enterprise observability platforms
- A combination of different AI Models and Machine Learning techniques to detect recurring patterns, anomalies and correlations in vast, high dimensional datasets. A key differentiation is that these models are trained / fine-tuned on customer data to ensure a high degree of accuracy of predictions and correlations
- AI-Powered Solutions for IT Operations: These AI models, combined, ensure that the right information goes to the right teams at the right time through the various modules of the EvolveOps.AI platform.

Why EvolveOps.AI?
- Amplifies and augments investments made in observability, data fabric and automation platforms
- Large repository of pre-built adaptors, plug-ins and resolver bots to connect to and autonomously administer enterprise IT Operations Management tooling
- Built entirely on a foundation of Open-Source technologies ensuring that the solution remains on the cutting edge of technology
- Accelerated deployment and immediately visible outcomes
Who is this targeted at?
Operations / Engineering Personas |
Benefits |
---|---|
Command Center / NOC Engineers |
Real-time Health of Critical Business Processes and underlying services |
SREs or L2 / L3 Operations |
Autonomous or Assisted Diagnosis, Triaging, Root Cause Analysis and Issue Resolution |
Cloud and Infrastructure Engineers / Architects |
Single-click deployment of Application / Environment blueprints (Infrastructure as Code) |
Developers |
Single-click deployment of Application / Environment blueprints (Infrastructure as Code) |
Quality Engineering |
Dynamic instantiation (and decommissioning) of application environments to lower environments from accelerated integration testing, regression testing performance testing, dynamic application security testing etc. |
FinOps Admins |
FinOps analytics and recommendations across Private and Public clouds for cloud spend tracking, insights and optimization |
Operations Analysts |
AI-powered insights for post-facto root cause analysis, problem pattern detection, recurring failure detection, operations performance management etc. |
Case in Point : Bankable Benefits delivered to our customers
97.5%
reduction in environmental noise
40%
reduction in ITOpex spend
60%
reduction in Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR)
40%
faster time to market for products
25%
reduction in system infrastructure downtime
50%
reduction in manual interventions through IT user empowerment
70%
improvement in deployment speeds
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