AI Driven Automation

Let Softility's AI Driven Automation solutions turbo charge your IT, Network, Security, and Cloud operations by leveraging intelligence-driven automation to eliminate downtime, shrink costs, boost capabilities, and increase productivity.

Softility's AI-Driven Automation Solution

Digital transformation is all about being nimble and efficient—and leveraging data like never before. It is now possible to intelligently harness the power of data through AI Automation to significantly boost operational efficiencies and reduce costs. However, many companies lack the integration and expertise to truly take advantage of new technologies. Softility’s AI Automation Solution integrates a combination of open source and commercial technologies to extract deeper, business-impacting insights from operational data, and then marry that with an operational automation and self-healing capability. The result: superior bottom-line results across the board.

Harnessing the Power of Data

By leveraging Artificial Intelligence (AI) areas like Natural Language Processing (NLP) and Machine Learning (ML), Softility derives intelligence out of data within an enterprise, providing descriptive, diagnostic, and predictive dimensions to data for improved decision making. Automation, armed with intelligence, can optimize entire processes or workflows, learning and adapting as the operational context evolves and changes. This allows you to continually sustain higher efficiency, productivity, and profitability.

Benefits of Softility's AI Automation

Digital Operational Agility
Reduce Operational Costs
Intelligent Self-Healing Capabilities
Adapt and Scale Seamlessly
Improve Data-driven Decision Making
Identify/Fix Breakdowns Before They Occur
Increase Agility and Speed, Reduce Down Time and Incidences
Free-up IT Operations Time for Innovation and Customer Focus

Anatomy of Softility's AI Driven Automation Solution

In a digital organization, every bit of operational data is of significance—but only if it is retrieved, processed, and assessed correctly. Harnessing operational data from hybrid architectures, heterogeneous devices, legacy systems, and evolving technologies, is challenging. Yet if done right, and integrated with highly optimized AI, the results can be ground breaking, enabling you to reduce operational expense and improve innovation. What’s more, extracting complex business insights and predictions only solves half of the puzzle. The other half lies in implementing and leveraging these insights. Relying only on manpower to analyze and process insights is too time-consuming and expensive. It defeats the purpose of AI in the first place. The end goal of AI is collaborative automation—that is, to automate end to end, using insights across standard workflows and processes, empowering operations teams with decision-making ability through human-guided automation. At Softility, we ensure that this ultimate goal is achieved and that operations teams reap benefits of true digital transformation.

AI-Driven Automation
Data Pipeline

Data Pipeline & Engineering

Our focus is on identifying, extracting, and loading multi-dimensional structured, unstructured, and poly-structured data from various sources. This includes hybrid IT infrastructure components, such as compute, storage, network, security devices, enterprise applications, databases, middleware, cloud, virtualization, IoT, and more. In addition, data from traditional fault, performance, inventory, CMDB, Ticketing and Security Information, and Event Management Tools, is also extracted and analyzed. The goal of Data Pipeline and Engineering is to quickly and seamlessly bring all relevant operational data into view within the AI driven Automation framework.

Data Lake

Data Lake

Data Lake refers to the vast storehouse of the collective data from multiple conduits and channels. This central, unadulterated data is stored for heterogeneous forms that the AI engine and automation tool will depend upon. Data Lakes receive inputs from the data pipeline and engineering component in a raw, unfiltered form. Data cleansing, transformation, and enrichment are then performed during this stage, bringing the data into clear focus, providing context so that the AI engine can extrapolate and apply techniques to bring out key actionable insights.

AI Engine

AI Engine

The AI Engine uses sophisticated supervised and unsupervised machine-learning algorithms. In addition, natural language processing techniques on data will come out with key insights. The goal of this stage is to look at data from the perspective of infrastructure and applications, and to identify related issues, flag false positives, detect anomalies, predict failures, discover patterns, and so forth. The engine then seamlessly feeds all of this intelligence into the automation component, which is considered "the brain" that drives all intelligent automation activities.

Intelligent Automation

Intelligent Automation

This component leverages insights from the AI Engine and combines dynamic rules management and playbooks to determine conditions for triggering workflows and process automations. The dynamic rules management and playbooks are automatically updated as the AI component learns and improves predictions. This phase includes ready-to-use access hooks for hundreds of different infrastructure, application, and middleware components—including integrations with fault, performance, and ITSM tools, to speed up automation implementation that delivers quicker ROI. Another core feature of automation layer is the logging and documenting of each change, call, or action performed for auditing and compliance reporting.


Visualization & Dashboards

Bringing everything into clear view and focus is critical. This overarching feature offers deeper analytics and visualization catering from operations, business, finance and security domains—with the ability to expand data for other use cases. The dashboards provide real-time streaming analytics and allow for quicker troubleshooting and diagnostics. This component features an intuitive workflow and automation interface that can be used to create updated or new workflows and automations.


Sustainable Business Success

True success can only be measured in terms of tangible business results. At the end of the day, digital transformation is all about helping organizations achieve sustainable success—that means advancing or meeting the business goals of: modernizing operations, acquiring new customers, keeping the current ones happy, identifying opportunities to increase the bottom line, and taking pressure off of your human resources. Implementing a Softility solution enables you to make each of these business objectives a reality—not just for today, but for tomorrow.

An Expert Team

The Softility team has more than 20+ years of proven expertise. We are known as an industry leader in the space of data, network, automation, cloud, and security operations. Headquartered in Herndon, VA, with offices in Hyderabad, India, we have a workforce with proven credentials in the digital technology space, serving dozens of national and international organizations in both the public and private sectors.

Learn About Softility

A Proven Methodolgy

We follow a phased approach in delivering our digital services to ensure customers are getting the best business outcome from technology at an optimized cost. We combine decades of experience in delivering large-scale, turn-key enterprise solutions to build a methodology that ensures our customers become digitally agile in a proven, measurable, and cost-efficient manner.

Learn How We Work

Contact Us

Interested in learning more about digital solutions and services from Softility? Send us a note.
(703) 853-1845 •