Stop Just Automating: Why Redesigning Work is the Secret to AI ROI

2026-07-07 · Source: Metrigy · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Artificial Intelligence & Machine Learning · Depth: Intermediate, short

Summary

A recent "AI Organizational Best Practices: 2026-27" study of 759 global companies reveals that while 95.7% report a positive overall impact from AI, most organizations (53.7%) primarily use AI to automate existing workflows. This approach, while delivering rapid return on investment, limits long-term success by failing to fundamentally rethink processes in an AI-driven world. In contrast, a "Success Group" within the study, comprising companies with above-average business metric improvements, prioritizes redesigning work, with 57.6% adopting this strategy. This redesign approach yields significantly better outcomes, including a 9% bigger drop in future costs and a 4% higher boost in CSAT scores compared to those merely automating. The study emphasizes that true AI ROI comes from tearing down and rebuilding systems, intentionally assigning tasks to humans or AI based on optimal execution.

Key takeaway

For IT and CX leaders aiming to maximize AI ROI, your strategy must extend beyond basic automation. Instead of merely speeding up old processes, you should fundamentally redesign workflows from the ground up. Evaluate current customer and employee journeys, then intentionally assign tasks to the agent—human or AI—that handles them best. This shift breaks through the ROI ceiling, optimizes costs, and delivers superior experiences, as demonstrated by companies achieving a 9% bigger drop in future costs.

Key insights

Redesigning work with AI yields significantly higher ROI than merely automating existing processes.

Principles

• Prioritize work redesign over simple automation for AI initiatives.
• Evaluate every touchpoint for optimal human-AI task assignment.

Method

Map customer or IT journeys from scratch, intentionally assigning tasks to the best-suited agent (human or AI) rather than layering AI onto legacy workflows.

In practice

• Redefine roles, e.g., AI for triage and data, human for empathy.
• Question if current processes serve customers best with AI capabilities.

Topics

• AI ROI
• Workflow Redesign
• Process Automation
• Customer Experience
• IT Operations
• Organizational Strategy

Best for: CTO, Executive, AI Product Manager, Director of AI/ML, VP of Engineering/Data, IT Professional

Related on AIssential

• Redesign Work Before You Add More AI Agents — AI value is realized by redesigning workflows to integrate human-agent systems, not merely by adding more AI tools.
• Exploring AI’s Value and Profitability — AI ROI is about augmenting human work and fostering innovation, not just incremental productivity.
• How to Redesign a Workflow for AI Without Automating the Mess — AI transformation stems from workflow redesign, not merely task acceleration, to achieve durable enterprise value.
• The AI-Powered Status Quo: Congratulations, You Automated Yesterday! — AI must be used for business reinvention, not merely optimizing existing operations, requiring a leadership mindshift.
• OpenAI's FRONTIER might be the "JOB KILLER" we were waiting for — AI is shifting towards "labor as a service" through human emulation and agentic systems.
• #1: AI Feels Powerful. So Why Is the ROI Still Missing? — Organizational readiness, not model capability, is the primary bottleneck for AI adoption and value realization.

Counsel's verdict on this

AIssential's Counsel cites this article in its editorial verdict on the decision it informs:

• Automate this workflow, or redesign it before we automate? — While 53.7% of organizations automate existing workflows for quick wins, 57.6% of successful AI companies prioritize redesigning work, finding that bolting tools onto old workflows is the leading cause of AI pilot failures.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Metrigy.