Success doesn’t come from applying AI indiscriminately. The companies seeing real results are using their own process data to guide where and how AI is deployed. And they’re making sure those processes are optimized before they automate – avoiding the common pitfall of scaling inefficient workflows.

Here’s how Fortune 500 organizations across industries are putting that strategy into action.

Booking Holdings: $450M in targeted savings through AI-led transformation

The world’s largest online travel company is on a mission to run a “tight ship.” Booking Holdings has launched a multi-year transformation program aimed at saving $450 million by the end of 2027. Central to that effort is the automation of internal processes using AI – with cost savings reinvested into future-facing initiatives. “We are streamlining processes and reinvesting savings into growth and innovation,” CFO Ewout Steenbergen told investors.

Key takeaway: Internal automation isn’t just about cutting costs – it’s about creating the operational capacity and capital to fuel long-term growth.

Standard Chartered: Simplifying operations to enable innovation

As part of its “Fit for Growth” program, global bank Standard Chartered is intensifying efforts to simplify systems and processes across its footprint. This includes harnessing AI and emerging technologies to deliver better service and modernize operations. “Her knowledge and perspective will be instrumental in driving innovation,” said Group CEO Bill Winters about the firm’s new Group Head of Technology & Operations.

Key takeaway: AI transformation starts with simplification. Standardizing and optimizing processes creates a strong foundation for automation and innovation at scale.

Albertsons: AI adoption tied to productivity, experience, and cost cutting

The grocery giant is accelerating its AI strategy in response to heightened competition and economic uncertainty. A three-year cost-cutting initiative includes back-office process optimization, supply chain forecasting, and customer experience enhancements – all powered by data science and AI. “We're focused on expanding AI adoption to improve productivity and drive growth,” said executives on the company’s earnings call.

Key takeaway: AI isn’t just for the back office. When guided by operational data, it can improve employee experience, customer satisfaction, and enterprise efficiency at once.

General Mills: Millions saved through AI-driven logistics optimization

With more than 5,000 daily shipments analyzed by AI models, General Mills has saved over $20 million in transportation costs and expects $50 million in manufacturing waste reduction this year. Their supply chain strategy combines real-time data with predictive modeling to streamline decisions across the network. “These investments are part of our broader acceleration strategy to improve efficiency and scale innovation,” said CEO Jeff Harmening.

Key takeaway: AI delivers the greatest impact when applied to high-volume, high-cost processes – especially when supported by strong digital infrastructure.

UPS: Reimagining efficiency from end to end

UPS is undertaking a multi-year initiative to overhaul how it operates, from peak hiring to payment processing. The “Efficiency Reimagined” program is expected to drive $1 billion in savings by targeting end-to-end workflow improvements – not just isolated cost centers. “We are reconfiguring our U.S. network and tackling our processes from end to end,” executives shared during a recent earnings call.

Key takeaway: Major cost savings require a comprehensive view of how work flows across systems, teams, and departments. That starts with accurate process data.

Want to apply these lessons inside your own organization?

These Fortune 500 leaders all have one thing in common: they’re using data to drive their decisions, not assumptions. And they’re ensuring their processes are optimized before scaling AI.

To follow their lead, you need visibility into how work is actually happening across your business – not just within systems, but on the desktops where manual workarounds and inefficiencies often hide.

That’s where task mining and process intelligence come in.

Get the guide: How to cut costs with process intelligence and AI

Our free executive guide, The CxO’s Guide to Data-Driven Cost Cutting, outlines a proven five-step framework Fortune 500 organizations are using to:

• Identify inefficiencies that traditional methods miss
• Benchmark time spent across teams and systems
• Build automation-ready process maps
• Prioritize improvements based on ROI
• Unlock millions in savings – without disrupting work

It also features real-world examples from companies like Goodyear and ClearBank, showing how process visibility leads to smarter transformation.

See where your biggest cost savings are hiding

Mimica helps Fortune 500 companies automatically capture the data needed to identify hidden inefficiencies, reduce manual work, and accelerate automation – all without relying on guesswork or consultants.