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New Report: Agentic AI Reduces Operational Costs by Up to 38%

ByEthan Lin

Jan 30, 2026

Automatic.co, an Agentic AI consulting firm specializing in autonomous business systems and building AI workflows, today released a new benchmark report showing that companies deploying Agentic AI are reducing operational costs by up to 38% while significantly increasing throughput across core business functions.

The report analyzes aggregated performance data from multiple mid-market and enterprise organizations that implemented Agentic AI systems across marketing operations, customer support, finance, and internal workflows. Results were measured over a 90-day post-deployment period, comparing pre- and post-automation performance.

Unlike traditional automation or AI tools that require constant human input, Agentic AI systems are designed to plan, execute, monitor, and iterate on complex workflows independently, functioning as autonomous digital operators rather than passive software.

“Most companies are still thinking about AI as a productivity tool,” said Eric Lamanna, VP of Sales at Automatic.co. “What we’re seeing in the field is something very different. Enterprises are moving from small AI experiments to full operational replacement. This isn’t about making teams slightly faster—it’s about redesigning how work happens altogether.”

Key Findings from the Report

The benchmark study highlights several consistent outcomes across industries:

Operational Cost Reduction

Organizations saw an average operational cost reduction of up to 38%, with the largest gains occurring in marketing operations, customer support, and back-office finance functions.

Productivity and Throughput Gains

Companies reported significant increases in task throughput, including faster execution cycles, fewer manual handoffs, and a sharp decline in internal bottlenecks.

Headcount and Role Impact

Routine operational roles experienced the highest levels of automation, while new roles emerged focused on system oversight, AI orchestration, and strategic decision-making.

According to Samuel Edwards, Chief Marketing Officer at Automatic.co, these results reflect a broader shift in how businesses are structuring themselves.

“Agentic AI marks the transition from digital tools to digital labor,” Edwards said. “This is not just another software layer—it’s a new operating model. Companies that adopt autonomous systems early will build structural advantages that competitors will struggle to replicate.”

Use Cases Driving the Highest ROI

The report identifies several high-impact applications of Agentic AI:

Marketing Operations

Autonomous systems now manage campaign execution, content workflows, lead routing, and performance optimization without manual intervention.

Finance and Accounting

Agentic AI handles invoice processing, reconciliation, reporting, and compliance monitoring, dramatically reducing cycle times and error rates.

Operations and Internal Support

Workflow orchestration, vendor management, and internal request handling are increasingly managed by AI systems that operate continuously without human supervision.

From a revenue perspective, the implications are substantial.

“When human bottlenecks are removed from revenue-generating systems, growth stops being linear,” said Timothy Carter, Chief Revenue Officer at Automatic.co. “Agentic AI changes the economics of scaling. Companies can grow output without growing payroll at the same rate, which fundamentally alters margin structure and capital efficiency.”

About the Report

The benchmark report is based on aggregated performance data from live client deployments across multiple industries, including professional services, technology, financial services, and manufacturing. Metrics were measured using before-and-after comparisons over a standardized 90-day deployment window.

The “up to 38%” figure reflects the highest-performing cohort within the study and represents achievable outcomes for organizations implementing full-stack Agentic AI systems across multiple departments.

About Automatic.co

Built by the same group that brought LLM.co, Automatic.co is an Agentic AI consulting firm that designs and deploys autonomous AI systems for enterprises and high-growth organizations. Unlike traditional AI vendors or automation platforms, Automatic.co builds AI operators that execute real business functions—replacing manual workflows across marketing, finance, operations, and customer support.

Automatic.co’s mission is to help companies transition from human-operated systems to autonomous digital workforces that scale output, reduce costs, and eliminate operational friction.

Ethan Lin

One of the founding members of DMR, Ethan, expertly juggles his dual roles as the chief editor and the tech guru. Since the inception of the site, he has been the driving force behind its technological advancement while ensuring editorial excellence. When he finally steps away from his trusty laptop, he spend his time on the badminton court polishing his not-so-impressive shuttlecock game.

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