AI is helping SaaS and IT teams move faster. Automation is increasing, and more work is getting done in less time. But turning that progress into real business results is where many organizations still struggle.
According to Forbes Advisor, 64% of businesses believe AI will improve overall productivity. It’s no surprise that expectations are high.
But the challenge is not just getting more done. It’s making sure AI is directed in a way that improves business performance and creates a meaningful advantage in how teams operate.
In many cases, increased productivity with AI can show progress without always translating into measurable results. As AI adoption grows, this gap becomes more visible at the operational level, where teams are expected to do more while maintaining quality, consistency, and control.
Why more AI doesn’t automatically improve results
For many IT teams, keeping up with day-to-day operations is already a challenge.
Workloads continue to grow, while team size stays the same. Teams are managing more devices, more distributed environments, and more edge cases—many of which don’t fit neatly into existing systems. At the same time, expectations around support, security, and customer experience keep rising.
AI is often introduced to help manage this growing operational complexity. But adoption alone isn’t the solution. Without clear direction, it can quickly become fragmented across tools and workflows. This makes it harder to see what’s improving results and where AI is falling short.
From AI adoption to Orchestrated Intelligence
What separates teams that see real impact from those that don’t is how AI is applied across teams, workflows, and the broader organization.
At GoTo, this approach is framed as Orchestrated Intelligence. The idea is simple: AI is only as effective as how it’s directed and the people behind it.
At its core, this creates a more coordinated, organization-wide partnership between teams and the AI systems that support them. This means applying AI where it drives real outcomes, while people provide the judgment, context, and expertise that make human-AI collaboration effective.
This approach is at the center of GoFurther 2026, GoTo’s flagship virtual event focused on how organizations move beyond rapid adoption by applying AI with clear direction and shared priorities.
In sessions led by GoTo experts and industry practitioners, you’ll learn:
- How to move from AI sprawl and “bot bloat” to a focused, outcome-driven strategy
- Ways to augment human expertise with AI while preserving judgment, accountability, and trust
- Practical approaches to managing IT complexity and aligning AI with real business outcomes
- How stronger human-AI collaboration helps teams make faster, more confident decisions and deliver more consistent customer experiences
You can also join a live Ask Me Anything (AMA) session with GoTo experts to get real-time insights based on your organization’s challenges.
What effective AI execution looks like in practice
When AI is applied in a more deliberate, outcome-driven way, the way teams operate starts to shift.
AI fits into existing workflows instead of adding complexity. It handles routine tasks in the background and gives teams more time to focus on work that requires judgment and context.
In practice, teams apply AI toward the same objectives across the organization. Support, operations, and customer success use it to drive the same results, such as resolving issues faster, maintaining service quality, and delivering a consistent customer experience. This keeps systems and workflows aligned instead of fragmented.
With teams moving in the same direction, it becomes easier to see what’s improving performance and what needs to change. Leaders can make more confident decisions based on what is actually working. Over time, workflows become easier to manage, decisions become more deliberate, and AI becomes a natural part of how work gets done.
Turn AI progress into real business impact
AI is already helping teams move faster. The next step is converting that speed into measurable results.
As AI continues to advance, real progress depends on how strategic teams work with it. A more deliberate approach to human-AI collaboration is what turns that potential into real business impact.
GoFurther 2026 focuses on how organizations are putting this into practice. Through keynotes, case studies, and expert sessions, you’ll see how teams are coordinating AI across workflows, augmenting human expertise, and delivering measurable outcomes.
Register for GoFurther 2026 to see how leading teams are aligning AI across their organizations to drive real business results.