Business Outcomes
Artificial
Intelligence
Built for Outcomes
Move AI from promising idea to measurable business outcome redesigning the processes that matter, embedding intelligence where it counts, and delivering results built around your business goals.
Overview
From AI Ambition To Operational Impact
AI delivers when the right use case, data, platform, and governance work together. Getronics brings AI engineering, industry-focused automation, and secure deployment into a single delivery approach helping you identify where value is real, build the foundations to capture it, and scale what works.
Backed by 50+ AI initiatives and 40+ client-facing projects, we move organisations from experimentation to impact.
52%
faster resolution time via AI chat than self-service portal tickets
11+
higher customer satisfaction when using AI virtual assistant
37 minutes
less lost time per ticket when using AI virtual assistant
AI Business Outcomes
How AI Can Change the Way Your Business Works
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Trusted AI Support With Human Oversight
AI assistants give users 24/7 multilingual support, search approved knowledge, understand intent, and prepare useful context for live agents. Behind the scenes, AI summarises incidents, captures missing information, suggests priorities, and supports smarter routing. Getronics brings these capabilities together to improve resolution speed, visibility and consistency while keeping service teams in control.
- AI search over trusted knowledge
- ServiceNow knowledge base integration
- Real-time sentiment, ticket status and device insights
- Automated incident summarisation
- Catch and Dispatch automation
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Operational Intelligence You Can Act On
AI detects patterns, surfaces anomalies, forecasts demand, and shows where automation can improve performance, turning data into decisions before issues become problems. A power user dashboard can connect incident, queue, resolver, user experience, SLA, CSAT and automation data in one operational view.
- Predictive analytics
- Anomaly detection
- KPI and SLA visibility
- Automation opportunity analysis
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AI Built Into the Systems You Use
Getronics combines software engineering, data engineering, LLM integrations, workflow automation, and AI-augmented development to create AI capabilities that work inside your existing applications and business processes.
- AI-augmented software engineering
- LLM integrations
- Data engineering and analytics
- Low-code and workflow automation
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Responsible AI With Business Control
Getronics brings governance into the delivery path from the start, covering cybersecurity, compliance, legal considerations, responsible AI, operating ownership, and success criteria before AI moves into production.
- Cybersecurity and compliance review
- Responsible AI considerations
- Success criteria and ROI
- Scale and maintenance planning
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Embed AI Where It Improves Operations
Getronics helps you apply AI across cloud, workplace, applications and security environments to reduce manual work, improve service performance, and support better cost control. We help your teams embed AI in the right places with clear governance, trusted data, and measurable outcomes.
- Preventive monitoring and AIOps
- Workplace AI assistants
- AI-supported ITSM
- AI-powered SIEM, SOAR, and endpoint security
- Cloud management and FinOps support
AI Business Outcomes
How AI Can Change the Way Your Business Works
Trusted AI Support With Human Oversight
AI assistants give users 24/7 multilingual support, search approved knowledge, understand intent, and prepare useful context for live agents. Behind the scenes, AI summarises incidents, captures missing information, suggests priorities, and supports smarter routing. Getronics brings these capabilities together to improve resolution speed, visibility and consistency while keeping service teams in control.
- AI search over trusted knowledge
- ServiceNow knowledge base integration
- Real-time sentiment, ticket status and device insights
- Automated incident summarisation
- Catch and Dispatch automation
Client
Manufacturer
Case Study
AI-Ready Managed IT Support for Global Growth
Getronics helped a major manufacturer build a scalable managed IT service model across service desk, workplace, network and access control, creating a foundation for future conversational AI and service innovation.
About us
A Practical Route From Use Case To Scale
AI succeeds when teams connect ambition to a clear operating path. Getronics takes you from use case discovery and business case through foundations, proof of value, deployment, governance, and continuous improvement.
01
Start with Value
We identify specific pain points in customer experience or operations, then define success criteria and ROI before technology choices lead the work.
02
Build on the Core
We connect AI to your data, applications, workflows, service platforms, and cloud foundations so new capabilities fit your operating reality.
03
Govern as You Grow
Cybersecurity, compliance, legal review, responsible AI, deployment, maintenance, and value realisation guide the move from proof of value to scale.
Insights & Resources
AI News, Insights and Resources
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Related Solutions
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FAQs
You have questions. We have answers.
AI can improve user experience, automate repetitive work, predict operational risk, support faster decisions, and create new digital services. Getronics focuses each engagement on measurable business outcomes, then selects the data, model, platform, and operating model that can deliver them.
Getronics starts with use case discovery and prioritisation. We identify specific pain points in customer experience or operations, define success criteria and ROI, then assess data, model, cybersecurity, compliance, and responsible AI requirements before building a proof of value.
Yes. Gen AI-powered ITSM virtual assistants can understand user intent, search knowledge, summarise incidents, recommend solutions, categorise and prioritise tickets, support live-agent handover, and help identify automation opportunities across the service chain.
Yes. Getronics combines AI software engineering, LLM integration, workflow automation, data engineering, analytics, application modernisation, and low-code development to embed AI into the applications, platforms, and processes your teams already use.
Governance runs through the delivery method. Getronics considers cybersecurity, compliance, legal requirements, responsible AI, ownership, success criteria, deployment, maintenance, and value realisation so AI can move from proof of value to production with proper controls.
Getronics helps you select AI platforms that fit your goals, data, security requirements, operating model and existing technology environment. We work with trusted partners and our own engineering teams to help you adopt solutions that are practical, scalable and aligned with measurable business outcomes.
Yes. Our GenAI-powered ITSM virtual assistant supports multilingual service desk use cases and can operate through Microsoft Teams and the self-service portal. It can remember user preferences such as language, use ServiceNow knowledge, provide GenAI self-help tips, and support 24/7 service journeys.
Getronics uses a structured path from discovery, business case, and foundations through proof of value, development, optimisation, evaluation, deployment, scale, maintenance, business value realisation, and continuous improvement.
Yes. Getronics helps you apply AI across workplace, cloud, applications and cybersecurity to improve service performance, reduce manual work, strengthen visibility and support better decisions. We help you identify the right use cases, connect them to your environment and scale them with clear governance.