3 real-life Business Process Automation examples for IT

3 real-life Business Process Automation examples for IT

The IT function is responsible for service reliability, system access, change management, and support across a constantly evolving application estate.

The best automations reduce ticket handling, environment maintenance, account provisioning, monitoring response, and repetitive engineering work, but they have to be built with operational guardrails because mistakes can cascade quickly across the organisation.

Industry

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DXC Technology's AI-Powered Security Operations Centre

DXC Technology deploys AI-driven automation across its global Security Operations Centres, replacing manual alert triage with machine-learning models that detect, investigate, and contain threats autonomously. The result is a 60% reduction in alert fatigue and a 50% decrease in mean time to detect and respond.

Use Case
Automated SOC Threat Detection and Response
Tools
7AI
Input
Security event logs, network telemetry, endpoint alerts, and threat intelligence feeds from across DXC's global IT environment
Process
AI agents automatically classify and prioritise alerts, correlate indicators of compromise, and execute predefined containment actions without human intervention.
Output
Automated incident triage decisions, threat containment actions and escalation of genuine high-priority incidents to human analysts
Outcome
Alert fatigue reduced by over 60%, mean time to detect and respond cut by 50% and proactive risk mitigation.
IT Services and System Integration
IT

Goldman Sachs' Devin autonomous software engineering agent

Goldman Sachs becomes the first major bank to deploy Cognition Devin, an agentic AI software engineer, to handle complex multi-step coding tasks including legacy code modernisation and test generation across its 12,000-strong developer team.

Use Case
Autonomous Software Development and Code Modernisation
Tools
Cognition Devin
Input
Internal codebase tasks and developer prompts defining the scope of engineering work, including legacy systems requiring migration to modern programming languages.
Process
Devin, an agentic AI from Cognition Labs, autonomously navigates codebases, writes and tests code, and resolves bugs end-to-end with human review of outputs.
Output
Completed code changes, documentation, and test suites submitted for human engineer review and deployment.
Outcome
Goldman Sachs expects Devin to increase developer productivity by three to four times compared with previous AI coding tools, freeing engineers from drudge work such as legacy migration.
Corporate and Investment Banking
IT

Vodafone Automated Cybersecurity Threat Intelligence

This automation enables Vodafone to scale its security operations through a robust SOAR framework, utilising n8n to orchestrate threat intelligence, fraud detection, and incident response. By automating the triage of security alerts and the scanning of malicious data, the system has drastically accelerated threat response times from hours to minutes while delivering significant cost avoidances.

Use Case
Security Orchestration, Automation, and Response (SOAR)
Tools
n8n
Input
Security alerts, threat intelligence feeds, monitoring data, and incident tickets from cybersecurity infrastructure
Process
Workflows orchestrate data flows across security tools to perform automated threat detection, IP geolocation, and fraud detection. Reusable modular components are utilised across teams to standardise alert triage and accelerate the creation of new security workflows.
Output
Automated threat analysis reports, classified incident data with activity tags, and instant notifications via email or Slack
Outcome
5,000 person-days saved and £2.2 million in avoided costs since August 2024, with ongoing savings of approximately £300,000 per month
Telecom Operators
IT
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