The future of IT service delivery is built on AI and automation

2026-05-04 · Source: News and Advice on the World's Latest Innovations | ZDNET · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

The traditional IT playbook, characterized by tool sprawl and fragmented systems, is failing businesses as they scale, leading to increased threat surfaces, support tickets, and hidden costs. A survey indicates over half of managed service providers (MSPs) experience vendor sprawl, resulting in operational drag, reduced visibility, and security blind spots. This fragmentation forces IT teams into manual "human middleware" roles, costing the U.S. $2.38 trillion annually in lost value. Kaseya addresses these challenges with AI-powered IT management and cybersecurity solutions, advocating for a unified IT ecosystem. This approach integrates remote management, ticketing, security, automation, service delivery, and billing into connected workflows, exemplified by products like Datto Autotask PSA, Datto RMM, and Kaseya 365 Endpoint, which aim to reduce migration risk, cut costs by 30%, and boost engineer efficiency by 35%.

Key takeaway

For CTOs and VPs of Engineering grappling with escalating IT complexity and security risks, embracing unified, AI-powered IT management platforms is crucial. Your teams can reclaim significant time from manual tasks, enhance security posture by eliminating blind spots, and achieve scalable growth without proportional headcount increases. Prioritize solutions that offer seamless migration and comprehensive integrations to maximize efficiency and cost savings.

Key insights

Unified, AI-powered IT platforms mitigate tool sprawl, enhancing security and operational efficiency.

Principles

• IT complexity scales unsustainably
• Fragmented IT creates security blind spots
• Consolidation improves service delivery

Method

Implement unified, AI-led workflows across IT service delivery, security, and billing to automate tasks, reduce manual intervention, and proactively manage issues.

In practice

• Consolidate remote monitoring and endpoint management
• Integrate service delivery with billing systems
• Utilize prebuilt scripts for automation

Topics

• IT Service Delivery
• AI Automation
• Tool Sprawl
• Cybersecurity Integration
• Managed Service Providers

Best for: CTO, VP of Engineering/Data, Executive, IT Professional, Director of AI/ML, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by News and Advice on the World's Latest Innovations | ZDNET.