Robin's fast implementation and faster ROI

Choosing and deploying agentic AI trips up a lot of enterprises that want to get in on the hype, but don’t have clear goals. Tailored, purpose-built AI can actually offload work from IT teams and solve help desk tickets autonomously.

IT and business leaders may have an instinctive concern about how long it will take to deploy new enterprise software. Long deployment cycles can involve customized consulting, onboarding time, integration work, and API setup, particularly for a tool used by all or most employees, or a rip-and-replace of something like an ERP system. 

Implementing AI technology that actually drives the business forward can be equally challenging and slow. Gartner found that only 28% of AI use cases in infrastructure and operations succeed and meet ROI expectations. But they also found that success stems from connecting AI to the business during execution, not just planning, and integrating AI into existing workflows and systems, with executive support.

The longer any new deployment takes, the longer it takes to get users up and running and see ROI from the investment, and the more enterprise fatigue grows around new technology generally. But agentic AI can break that pattern. Autonomous AI can create measurable business impact in just days, instead of requiring months-long transformation projects. Done well, it’s a different type of operational model than the typically slow software deployments. Here’s what to know about choosing AI technology that can bring results almost immediately.

Agentic AI teammates that go live quickly

With agentic AI that’s purpose-built for a particular team, both deployment and capturing ROI get easier. Within the IT department, agentic AI fits the bill, since it can start serving as a digital teammate right away. The goals and implementation path are clear for a tool like Robin by Atera: it can offload repetitive work from busy IT teams, solve help desk tickets completely autonomously, and it goes live in days, not months. 

In fact, Robin’s new guarantees include a 72-hour live execution proof-of-concept for teams to see results from day one. And it includes a guarantee of resolving 50% of tier 1 tickets and complex tier 2 tickets in 90 days, or all fees are waived. Those tickets typically include password resets, software licenses, and other common tasks. 

What drives faster time to value with agentic AI implementation

True AI autonomy is possible, and so is straightforward agentic deployment when the product includes the right features and integrations for its intended use. 

The reason Robin, for example, can offer guarantees for usefulness is because it’s designed for IT team use. It saves time on implementation and speeds up time to value in a few key ways:

• Pre-trained for IT workflows, so it’s able to scale up quickly with context-specific information
• Native to Atera’s platform, which also includes remote monitoring and management (RMM) alongside ticketing, so there’s no heavy integration lift with other established infrastructure
• With its 72-hour guaranteed live deployment, Robin is on the line to intercept and resolve its first real ticket within three days

Capturing ROI from agentic AI

The agentic AI adoption calculations get a lot easier with technology that’s ready to work right away vs. traditional software calculations When AI agents pay for themselves in just weeks, the decision criteria for adoption will fundamentally change. While some AI technology conversations get stuck on “When will we see returns?”, the speed of deploying a tool like Robin leads to a new conversation around “How fast can we scale this?” 

The speed of implementation of enterprise software has a big effect on its ROI, and it’s the same for AI. Autonomous AI can resolve lots of common issues without the need for human intervention, setting off a chain of positive impacts for IT team members and help desk users.

Some of the metrics to track include:

• Deflected help desk tickets: Atera clients using AI tools have 30% to 70% IT ticket deflection
• Reduced mean time to resolution: Atera clients using AI tools yield 10x faster resolution
• Autonomous resolution rate or end-to-end resolution time: Robin can reduce this time to 120 seconds, with an average 0.1 second to first response
• Technician capacity reclaimed: A typical IT team running Robin reclaims an average of 35 to 40 hours per week in that early window. And agentic AI tools have been shown to yield 11 to 13 hours per week reclaimed per technician.
• Reduction in interruption time also closely relates to reclaimed technician capacity, as fewer interruptions means more dedicated and strategic work time.
• Operational load shifted from humans to AI.
• Hiring costs avoided through reduced turnover: Atera users see a 40% reduction in IT workload.
• Time to value from deployment of AI to seeing these metrics improve.

Deploying agentic AI to see value in days for your organization

Instead of discussing potential agentic AI projects for months, then working to find or orchestrate the right solution to deploy, you can actually just get started in a few business days. When AI systems can go live in days, then prove their value in weeks, businesses can fundamentally rethink how they look at buying enterprise technology. It isn’t long-term transformation planning over months or years, but rapid operational scaling once the purchase decision is made.

And once the IT team has the support of an autonomous digital teammate, there’s a lot more time for strategy and interesting, non-repetitive work. Robin can resolve 92% of tickets, respond more quickly to help desk tickets, solve them faster and totally autonomously. The job for the IT team with this freed-up time is to start fixing entrenched problems, build strategies they’ll actually have time to execute, and solve any complex problems Robin escalates.

Get more details on Robin’s guarantees, and see how much your enterprise can save with agentic AI.