AI as your next IT teammate: How Robin is boosting organizational efficiency

Introduction: From hype to human collaboration

In 2025, adopting AI is a given the real challenge is finding the solution that drives real, rapid ROI. Too often, AI is framed as a “tool” for efficiency. The upside is far bigger when AI becomes a teammate that learns your environment, anticipates issues, and co-creates value.

Gartner’s latest CIO research places Data, Analytics & AI among the top five CIO pain points for 2025 and urges leaders to integrate AI into strategy, not just operations. Gartner.

The hidden cost of “AI as a tool”

Keeping AI in a tactical box (report generation, email creation, KB development) locks teams into cost-cutting narratives and reactive work. Gartner notes that CIOs who limit AI to efficiency gains underperform those who embed AI into decision loops and operating models where it can drive resilience, growth, and measurable ROI. Gartner

McKinsey’s research similarly finds that organizations realizing impact are the ones redesigning workflows and establishing senior oversight for AI—treating it as a managed capability, not a collection of point tools. McKinsey & Company

A new model: AI as a teammate

1. Robin — the personal IT professional for every employee.

Atera’s Robin functions like a full-time team member that responds, analyzes, remediates, and optimizes endpoints and networks, autonomously.

Use case: A finance department employee is unable to open an invoice. Robin detects the issue, confirms whether the required software (Adobe Reader) is installed, verifies the user’s authorization to use it, automatically installs the software if needed, and then prompts the user to set it as the default application for opening similar files.

See it live: Robin Demo

 

The human impact: from firefighting to foresight

Treating AI as a teammate changes the day-to-day of IT. Firefighting gives way to proactive engineering. Teams move from repetitive toil to architecture, security posture, and innovation.

McKinsey finds that companies drive bottom-line impact from AI rework processes and retrain teams, aligning people + AI in the flow of work—rather than bolting on tools. That operating-model shift is the difference between experimentation and value at scale. McKinsey & Company

A leadership imperative for CIOs

Gartner’s 2025 CIO outlook is unambiguous: make AI a board-level, cross-functional capability. CIOs should embed AI into planning cadences, governance, and performance management to move beyond pilots and achieve durable outcomes. Gartner

McKinsey echoes the playbook: organizations that put senior leaders in charge of AI governance and redesign workflows around AI unlock materially greater impact—versus those that keep AI as isolated point solutions. McKinsey & Company

What great looks like in 2025–26:

• AI participates in daily decision loops, not just back-office automations.
  
• Productive balance of autonomous remediation (Robi) and decision support (Copilot).
  
• Continuous enablement so IT pros level up into analytics, automation, and platform engineering.

Conclusion: Build the Human + AI IT Team

The winners won’t be the orgs that merely use AI, but those that work with AI. Treat it as your next teammate—one that scales expertise, accelerates strategy, and strengthens resilience.

Explore how Atera customers are putting this into practice with Robin and AI Copilot by starting your free trial.