At a glance:
- How would you define Autonomics? It’s the self-driving cockpit of intelligent operations.
- How does it use AI-powered ITSM to move AIOps from cost avoidance to value creation? Instead of reacting to endless alerts, Autonomics acts proactively, self-heals, and continuously optimizes.
- What impact does Autonomics have on engineers? By taking the noise out of operations, engineers can step away from firefighting and focus on innovation.
Introduction
In enterprise IT, the shift from automation to true autonomy represents one of the most transformative changes of our time. For decades, operations teams have been locked in a cycle of reacting — managing alerts, troubleshooting outages, and executing repetitive tasks that drain focus and energy. But as complexity grows and human bandwidth stretches thin, the need for a smarter, self-healing approach has never been clearer.
Enter Autonomics: an AI-native system that doesn’t just recommend — it acts. Instead of firefighting, organizations can now imagine a future where systems adapt in real time, resources are intelligently orchestrated, and teams are free to focus on innovation rather than survival.
To explore this future, we sat down with Shawnna DelHierro, CIO of SoundHound AI, who shared her perspective on the rise of autonomics, what it means for enterprises, and why she believes this is where AI finally meets operational intuition.
How would you define Autonomics?
Shawnna DelHierro: Autonomics is the self-driving cockpit of intelligent operations. Unlike legacy systems that only monitor and advise — creating alert fatigue — autonomics doesn’t just recommend; it takes action. It autonomously manages, optimizes, and adapts complex environments in real time.
Where is Autonomics headed in the next few years?
Shawnna DelHierro: Think of traditional AIOps as a co-pilot. Autonomics takes the next step — it’s where AI meets operational intuition. It’s not just automation, but autonomous decision-making powered by contextual awareness and continuous learning. The real promise lies in proactive, self-healing systems that learn from outcomes and continuously close the loop.
How does Autonomics move IT from cost avoidance to value creation?
Shawnna DelHierro: Autonomics shifts enterprises from a recommendation engine to an action engine. Instead of reacting to endless alerts, systems act proactively, self-heal, and continuously optimize. That transformation not only reduces burnout but also frees teams to focus on strategic work — turning efficiency gains into true business value.
What impact does this have on engineers?
Shawnna DelHierro: Autonomics acts like a sixth sense for your teams. It reduces downtime, accelerates resolution, and intelligently allocates resources. By taking the noise out of operations, engineers can step away from firefighting and focus on innovation. When the drudgery is removed, creativity and problem-solving flourish.
Speed of impact: how quickly do enterprises see results?
Shawnna DelHierro: Very quickly. Teams using SoundHound AI Autonomics report faster resolution times, fewer escalations, and a renewed sense of control. A drop in manual intervention almost immediately improves performance across deployments. And when teams focus on strategy instead of survival, they achieve more with greater confidence and speed.
How does Autonomics scale decision-making?
Shawnna DelHierro: Traditional dashboards show what’s happening; Autonomics goes further — it shows what’s been done and why. It scales decision-making far beyond human capacity and eliminates cognitive overload caused by fragmented tools. By enabling accurate, dynamic orchestration, autonomics accelerates both delivery and innovation.
Can Autonomics replace large-scale ERP overhauls?
Shawnna DelHierro: I’ve led ERP rip-and-replace projects, and they were painful — multi-year, multimillion-dollar efforts that drained resources. With Autonomics, those days are over. Instead of replacing systems, you can layer Autonomics on top. It delivers immediate visibility, manages complexity in real time, and spares organizations from costly, disruptive overhauls.
What makes SoundHound AI’s approach different?
Shawnna DelHierro: We didn’t build our Autonomics platform as a shiny new product. It evolved from years of listening to customers, iterating on our Amelia conversational AI platform, and solving real problems. Our engineering-first culture means we’re never satisfied — we continue to ideate, test, and refine alongside our customers through early adopter programs and Quarterly Business Reviews. That cycle of feedback and innovation sets us apart.
Conclusion
Autonomics is more than the next wave of IT — it’s a rethinking of how humans and machines collaborate. By closing the loop between insight and action, autonomics reduces operational noise, scales decision-making, and frees teams to focus on innovation instead of firefighting.
For Shawnna DelHierro, this isn’t just a technical milestone, it’s a human one. “Autonomics is where AI meets intuition. It takes the noise out and unlocks human potential.”
At SoundHound AI, that vision is already becoming reality. The future of operations isn’t about cost avoidance; it’s about unlocking creativity, accelerating value, and giving organizations the confidence to move faster than ever before.
See for yourself how SoundHound AI Autonomics reinvents AIOps with AI-powered ITSM.
