DRYiCE IntelliOps: Enabling digital transformation and shaping value-based business outcomes


April 12, 2022

Over the past decade, businesses irrespective of sectors and geographies have realized the myriad benefits of infusing digital solutions within existing business systems, processes, and operations. In a world where consumer experiences and expectations are swayed by the digital ecosystem, digital transformation has become an enterprise imperative. From increased business efficiency, employee empowerment, and productivity, to enhanced customer experience, enterprises are realizing a host of business impacts that have been fostered over the years.

Even though enterprises have been investing in digital transformation initiatives over the last decade, lately, the transformation exercises have gathered pace to make business and IT operations disruption-proof. According to a recent report, the global spend on digital transformation is projected to be no less than $1.8 trillion in 2022, with that number further rising to $2.8 trillion by 2025. Are enterprises adequately equipped to meet their digital transformation objectives? And, if not, what is the best way forward for them?

New-age challenges demand a dynamic, proactive approach

While enterprises are making the right moves toward digitally transforming their operations, IT, and business processes, there are a few challenges that stifle their progress, resulting in longer turnaround and missed digitization opportunities. Some of the key focus areas for enterprises in their digital transformation initiatives are app modernization, hybrid workplace, automated remediation, DevOps, SRE, improved customer experience, and realization of enterprise AI benefits. Currently, the underlying enterprise IT layer is unstable and is proving inadequate to drive or support digital transformation initiatives.

With the business ecosystem now more complex and spread out as stakeholders are dispersed geographically and using a multitude of end devices, efficient IT management has become supremely critical for enterprises. Service delays and downtime cost businesses resources, productivity, and reputation. Enterprises that are yet to thoroughly digitize their IT operations are not only plagued by service issues but are also failing to achieve the agility and resilience that have direct implications on their business.

To counter this, businesses end up investing in point IT Operations and Automation products that are aimed at addressing a particular symptom rather than the underlying cause. Moreover, implementing point solutions only compounds the problem generating siloed IT operations with a distinct lack of visibility and coordination. As a result, enterprises are often plagued by challenges around:

  1. Falling employee productivity
  2. IT issues impacting digital transformation
  3. Increasing IT costs
  4. Inability to meet the increasing demand for “always-on” IT services
  5. Repetitive incidents and high MTTR
  6. Limited automation
  7. Lack of successful capacity planning

While enterprises have deployed point solutions to meet their immediate needs, they are still operating basic monitoring tools, rule-based event management engines, automated scripts for targeted alerts, and reactive reporting. These point solutions are particularly ineffective in managing the rising volume of operational noise caused by a hybrid and complex digital landscape. IT, therefore, is perennially occupied in firefighting without adding any strategic value to the business. Here is a snapshot of the various areas that point solutions are being used:

Point solutions often work in isolation and seldom communicate with each other. There is a stark lack of end-to-end visibility across the organization and a limited understanding of IT’s impact on business goals.

This is where enterprises need a holistic solution that offers advanced AIOps and observability capabilities to enable autonomous IT for proactive intelligence and predictive analytics. Add to that, the immense scope for intelligent automation, cognitive assistance, end-to-end business observability, and hybrid cloud lifecycle management, and enterprises have a 360-degree solution that ticks all the right boxes and delivers a stable, predictive IT landscape that forms a bedrock of successful digital transformation.

Technological synergy fostering value-based outcomes

Enterprises need a top-down and AI-driven ITOps solution that offers holistic coverage of IT operations with minimal manual intervention and strongly drives digital transformation initiatives. DRYiCE™ Software, with its unique capabilities and cross-domain experience, understands the pain points of today’s enterprises and has developed an advanced AIOps and observability solution – DRYiCE IntelliOps™ – that addresses the digital transformation needs of forward-looking enterprises.

DRYiCE IntelliOps is an integrated, full-stack AIOps and observability platform that enables resilient, predictive, always-on digital services and an agile IT infrastructure to successfully actualize your digital transformation strategy. IntelliOps offers a decided advantage over multiple point solutions as it encapsulates the capabilities of all these solutions in a seamless package.

The ML-driven event management with a correlation engine enables smart collaboration and knowledge management, intelligent anomaly detection, root-cause analysis, and predictive situation management. While NLP-powered zero-touch resolution help enterprises achieve automated remediation and reduce manual intervention by identifying automation candidates and offering self-help features.

IntelliOps facilitates AI-led, human-assisted operations, and ensures thoroughly digitized business functions. Here is how IntelliOps does that:


  • Visualize: Persona-based reporting, proactive notifications, single-pane visibility, organization on page
  • Predict: Device- or capability-oriented monitoring, user behavior monitoring, end-point monitoring, network performance monitoring, and application performance monitoring
  • Act: Root-cause detection, anomaly detection, historical health, and performance telemetry
  • Engage: Automation recommendations, knowledge recommendations, workflow recommendations, autonomous operations, and pre-built adapters for third-party integrations
  • Observe: End-to-end observability, business insights, and patterns generated from large complex datasets, anomaly detection, trend visualization, and enhanced business-decision making processes
  • Collaborate: Cognitive virtual assistance for natural language user interaction and collaboration between departments, service status and availability metrics, predictive analytics and forecasting, and AI-driven ticket analysis for potential automation

Moreover, the unique capabilities around cloud FinOps and cloud lifecycle management enable expense optimization, improve governance, and enhance process workflows. Contextualized IT data provides end-to-end business flow observability and operational intelligence, thereby enabling both business and technology stakeholders to comprehend the impact of IT on business goals and bottom line.

IntelliOps delivers value at scale

Given IntelliOps’ holistic purview and well-rounded capabilities, enterprises can focus on digital transformation and their core competencies instead of devoting resources to routine IT operations. Self-learning AI algorithms make IntelliOps a perpetually evolving solution with ever-growing capabilities allowing it to offer definitive business and operational value at scale. Here are some of the benefits offered by IntelliOps:

  • Realize digital transformation goals: Build a resilient, scalable, and predictive IT landscape to support digital initiatives.
  • Increased business performance and availability: Automate IT resolution and workflows across systems, services, infra, and networks.

  • Improved business agility and decision making: Gain end-to-end observability across business and tech landscape, access real-time reports for faster decision making and strategic alignment between business and IT objectives.

  • Enhanced job satisfaction and employee retention: Free up bandwidth consumed in firefighting IT issues to focus on high-value innovative projects.
  • Reduced operating cost: Prevent outages, reduce breaches, and eliminate redundant tools.

  • Establishment of IT as a strategic enabler: Connect IT investments to business outcomes.

IntelliOps fosters a slew of direct and tangible benefits including reduced operating costs and time to value, improved business agility and user experience, reduced deployment and provisioning time, and improved asset utilization and SLA compliance. With IntelliOps, enterprises have reported up to 25% improvement in asset utilization, 85% improvement in MTTR, 20% improvement in SLA compliance, and 88% improvement in CSAT. Multiple enterprise integrations offer operational seamlessness, eliminate siloed point tools, and radically improve productivity through continued service uptime and expedited outcomes.

IntelliOps at work is a game-changer. One such example can be seen with a customer in the Belgian energy sector where IntelliOps improved successful auto-ticket resolution rate by 91%, reduced MTTR by 58%, and automated the entire incident resolution lifecycle, by implementing unified element monitoring and reporting, 10+ event management, and 15+ runbooks automation. VM readiness timelines were reduced from 3 days to 8 hours.

With so much on offer, DRYiCE IntelliOps is the ideal integrated, full-stack, domain agnostic, advanced AIOps and observability solution for enterprises in their pursuit of holistic digital transformation, agility and scalability, and a truly futuristic IT operations landscape.

Click here to know more about IntelliOps and how it can aid your digital transformation agenda.

Shahzada Sufyan

Shahzada Sufyan, Global Head – Outbound Product & Offers Management and Pre-sales

Shahzada Sufyan is the Global Head of Outbound Product and Offering Management for DRYiCE Software portfolio of AI lead automation and digital workplace solutions. He has over 20 years of experience in Product Management and Technical leadership roles at HCL and Hewlett-Packard Enterprise, where he has worked on products and technologies related to compute, big data, disaster protection and recovery, AIOps, SaaS and Cloud management solutions.