The emergence of early agentic capabilities in enterprise platforms is a cause for optimism. Agentic AI capabilities are poised to handle routine but time-consuming coordination and mundane, repetitive work that currently requires human oversight.
According to IDC, agentic AI is projected to drive the growth of IT budgets over the next five years, accounting for more than 26% of global IT expenditures and reaching $1.3 trillion by 2029.
In this post, we’ll take a look at how the introduction of agentic AI and see how it represents an early yet accelerating transformational shift. Enterprise platforms are evolving to become more dynamic and API-native, with real-time governance. How will that affect your operations? Let’s find out.
Agentic platforms as organizational infrastructure
Agentic operations represent an evolution beyond current AI assistants and chatbots. In the near future, autonomous agents will be able to move beyond the current query-and-response scenario to handle enterprise tasks with little to no human intervention.
For example, specialized agents can manage specific domains (security, compliance, provisioning), while platforms handle coordination. In early implementations or with limited scope, agentic AI is already capable of autonomously handling resource provisioning and cost optimization, environment orchestration, predictive maintenance, and drift detection and remediation, among other tasks.
How is agentic AI beginning to impact IT operations?
Agentic AI represents a significant evolution beyond today’s chatbots and content generation tools. The transformation manifests through three key operational shifts:
- – From reactive to proactive: Teams prevent issues by using predictive analytics and continuous monitoring rather than responding after incidents occur.
- – Rule-based automation: Repetitive tasks such as provisioning, tagging, and policy enforcement are automated with continuous validation against organizational standards.
- – Cross-domain coordination: Agents operate across traditional role boundaries, eliminating handoffs and completing end-to-end processes regardless of organizational silos.
This approach reduces coordination overhead rather than simply automating existing manual tasks, laying the foundation for agents to operate at enterprise scale.
IT operational roles that are most likely to be transformed through agentic adoption:
Infrastructure Operations:
- – Capacity planning specialists (resource optimization)
- – Infrastructure monitoring specialists (alert triage and basic response)
- – System administrators (routine maintenance tasks)
Release and Deployment:
- – Deployment coordinators (release orchestration)
- – Release managers (workflow coordination)
Service Management:
- – Help desk technicians (level-1 support functions)
- – IT service management coordinators (workflow routing)
- – Operations analysts (report generation and trend analysis)
Key economic drivers
Industry predictions suggest that a considerable portion of routine operational work could be handled autonomously, substantially reducing operational overhead. As reported by Gartner, agentic AI will handle at least 15% of everyday work decisions by 2028, representing a significant increase from 0% in 2024.
Operational benefits include:
- – Reduced handoffs: Agents could handle end-to-end processes that currently require multiple teams.
- – Improved cost efficiency: Individual team members could oversee a broader operational scope through agent assistance.
- – Accelerated cycles: Reduced manual coordination to accelerate deployment and delivery processes.
- – Greater consistency: Standardized agent operations to reduce variability in outcomes.
Beyond co-pilots
Agents today can observe the state of infrastructure, evaluate conditions against policies, and execute predefined actions with built-in safety constraints.
Infrastructure platform engineering solutions are developing enhanced scope, accessibility, and governance frameworks necessary for these agents to operate reliably across enterprise organizations. However, true autonomous decision-making capabilities are still in the process of evolving and will be here soon.
One step towards that future is Quali Torque.
The Quali Torque step forward
Quali Torque represents an evolution toward intelligent infrastructure management through integrated capabilities that address current operational challenges while laying the groundwork for more autonomous operations. Core capabilities include:
- – Blueprint designs: Enable infrastructure deployment through structured templates and guided interfaces. This approach lowers the skill barrier for infrastructure-as-code (IaC) while maintaining governance controls. This democratizes access to infrastructure within policy guardrails.
- – Policy-driven governance: Torque integrates with Open Policy Agent (OPA) to enable rule-based decision-making throughout infrastructure lifecycles. Policies written in Rego and stored in Git repositories are automatically discovered and validated, with decisions structured as “Approved,” “Denied,” or “Manual” (requiring human approval via Slack or ServiceNow).
Policy triggers operate across three dimensions:
- Consumption triggers monitor resource usage
- Environment lifecycle triggers manage provisioning and decommissioning
- Terraform plan triggers assess proposed infrastructure changes
Torque supplies essential context for automatic evaluation, including blueprint details, duration limits, user information, and resource specifications. OPA evaluates these inputs and automatically enforces decisions: blocking non-compliant actions, approving valid requests, or routing to approval workflows based on predefined thresholds.
Multi-cloud integration: Seamlessly integrates with Terraform, Kubernetes, Git, and CI/CD pipelines to automate environment orchestration, cost optimization, and compliance across hybrid and multi-cloud environments.
- – Decision context: Torque supplies essential input data, including blueprint details, duration limits, user information, and resource specifications for automatic evaluation.
- – Autonomous execution: OPA evaluates policies against inputs and provides decisions that Torque enforces automatically. This includes blocking non-compliant actions, approving valid requests, or routing to approval workflows based on predefined thresholds.
- – Security and compliance: Torque enforces security and compliance policies through OPA integration, enabling rule-based decisions such as denying non-compliant deployments or enforcing mandatory tagging.
Step into the future with agentic AI. Get started with Torque
Quali Torque is developing capabilities that demonstrate how execution, governance, and autonomy might coexist effectively. The platform coordinates environments, policies, and outcomes through automation, reducing operational overheads while maintaining governance controls.
As cloud infrastructure continues to evolve and grow more complex and at scale, organizations face a strategic choice: begin building platform foundations for intelligent operations through early adoption of coordinated automation capabilities now, or wait and try to catch up to rivals who already have a competitive advantage.
Organizations can position themselves for agentic operations through a phased adoption strategy:
- – Evaluate and validate: You can assess Torque’s capabilities through interactive demonstrations and sandbox environments. You’ll get a way to understand how policy-driven automation aligns with your operational and compliance frameworks.
- – Pilot in controlled environments: You can deploy initial implementations with Torque in non-production settings. This will give you a chance to measure the impact on cost optimization and operational efficiency without putting critical systems at risk. Your existing infrastructure assets can be connected to Torque to establish baseline governance and automation capabilities.
- – Integrate and scale: Torque’s policy-driven orchestration extends across teams, integrating with existing CI/CD pipelines and expanding role-based access controls. Torque provides metrics on coordination overheads, deployment velocity, and compliance adherence.
The window for gaining a strategic advantage is closing fast. Your organization must embrace intelligent, policy-driven infrastructure now—either lead the charge or play catch-up with competitors.
A platform such as Quali Torque offers measurable benefits: Less coordination, faster deployment, and more consistent operations than outdated manual processes.
Stop evaluating. Start building. Dive into Torque’s interactive playground to deploy real cloud environments and test governance policies today.