How To cut IT Operations Costs With AI Power

The C-suite level in an organization has different goals, and they agree on implementing a solution only if it ticks all their boxes and meets their requirements. When it comes to the IT department, reducing operating costs is only secondary to providing an excellent service. Most high-level organizations are ready to spend more for reliability, agility, efficiency, and almost 100% uptime.

However, cost control and optimization are on every operations manager’s agenda, so when a solution promises to optimize processes and cut costs simultaneously, it gets the attention of decision-makers. This is why AI-powered platforms deployment comes into play. It is a solution that promises to save time, reduce IT costs and offer employees more time for value-added work.

AI involvement in IT Operations – how it works?

AI – Artificial Intelligence use in IT operations is a term to designate a wide variety of software tools based on machine learning that aims to automate IT processes and to remove, aid, or enhance human intervention. It works by collecting and centralizing data from all the organization sources and using artificial intelligence to correlate events, detect anomalies and create automated responses to errors.

The main benefit of using such a system resides in diminishing alert noise consistently. When an AI-powered process automation platform handles all the alerts in an IT system automatically, it solves almost 90% of arising problems by applying rules and algorithms while passing on to the human team only a handful of issues that require attention and don’t have an established handling protocol already.

This is why systems such as the Siscale’s Arcanna.ai Alert triage platform will be preferred by organizations that aim to cut costs by improving the flow of the operations by reducing the average time to resolution instead of thinking cheaply. While this is not the only solution available in this field, the Siscale system is the only one designed not to eliminate the human factor, but to bring to perfection the human-machine tandem, using the AI core to clean the noise and prepare only the relevant alerts for human decisions.

Breaking down and tracking IT costs

Although IT has a privileged status when it comes to cost control because it needs to be operational and provide high security, it is not exempt from the cost/benefit ratio analysis.

AI platforms adoption is one of the most innovative ways to cut costs, and it is considered a way to cut down manual tasks and person-hours in several ways, including:

  • Preventing critical IT incidents
  • Supporting uptime
  • Uncovering new business opportunities

The advantage of using an AI-powered process automation platform is that it offers an overview of the IT system’s health and status with the possibility to drill down if necessary. This granularity provided by data offers problem visibility right away.

Another low-hanging fruit is anticipating problems or seeing them before they affect the customers. A proactive approach is a cost-saving one.

Pinpointing inefficient ways of working across the system offers countless business benefits starting with better resource management. Using artificial intelligence for alert triage is the first step in improving response rates and allowing IT staff members to focus on value-added tasks instead of repetitive ones.

Ways to cut down IT operations costs without increasing the IT incidents risks

When looking to cut down costs with IT, never compromise security, reliability, and service provision. NOC and SOC teams know that any breach or offline time is much more costly than almost any professional system because it affects service and affects the clients’ perception.

AI-powered automation

The rise of AI means the digital transformation of IT operations towards a more automated state based on deep learning. This will become part of the day-to-day operations much in the same way as computers replaced typewriters, fax machines, and other office tools; it is just part of the normal automating that needs to occur alongside increasing complexity of the operations.

To implement this in your organization, start with the repetitive processes necessary for a good functioning, but take time and drain your staff’s energy. Create a protocol for automation and a set of rules for handling different situations and acceptable detection thresholds. These will become useful in checking the accuracy of the machine learning process.

Examples could include automatic support ticket creation, resource allocation, and more.

Reduce Alert Fatigue

While operational noise is a sign of a thriving business that evolves, the downside of this process is alert fatigue. Keeping all systems running means setting alarms for every potential threat.

The NOC staff, IT support, and other specialists used to handle critical problems as they came. Still, the growth of the cloud environment made that almost impossible to control due to complexity. The current IT departments are flooded with alerts that are difficult to prioritize and sort out.

Most algorithms use neural networks to distinguish between noise and actual alerts. IT can also make a clear distinction between real danger and false-positive. This way becomes easy to filter out repetitive alerts, suppress duplicates, and detect or even predict real problems.

When an AI process automation platform is in place, it captures the alert and adds context to it, and evaluates how critical it is. Without artificial intelligence, engineers would need to assess each signal individually. Simultaneously, with automatic root cause analysis, the trigger is identified quickly, and the system can even respond promptly.

Ensure Security and Compliance

Most SOC team members know that security in this era means continuous monitoring and prevention instead of firefighting attacks. Since it is impractical to do this work, having an automated system manually ensures real-time response.

The current goal is to have an alert hierarchy and solve them automatically, as they appear, using an alert triage system (like Siscale’s Arcanna.ai).

Combing AI automation with human decisions and using real-time data from the cloud providers can considerably help companies be compliant and reduce the business risk substantially.

Leverage AI to cut costs while supporting business growth

Many IT staff members are scared of AI taking over their jobs in the name of cost control. The reality is that AI platforms are only tools to make their jobs more accessible and more value-oriented, replacing daily grinding with high-level decisions.

The growing complexity of systems, add-ons, interfaces, APIs, connected tools, and software makes it impossible to respond to errors in real-time threats without the help of AI. Using AI will constitute a competitive advantage for the early adopters and will slowly become business as usual in the following years.

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