AI is changing the game
Economic pressures, margin erosion, rising labor costs and tech investment expectations are colliding to make cost take-out a critical priority across industries. From boardrooms to business units, organizations are being asked to do more with less.
What if you could analyze your entire organization - every team, every process, every role - and pinpoint where real efficiency lies? No guesswork. Just data-driven precision at scale. AI is now a strategic lever in cost take-out initiatives. And it’s already helping leading companies cut through structural complexity, identify overlaps, and surface efficiency potential with a level of clarity that’s never been possible before.
We’re not talking about faster reporting or better dashboards. We’re talking about unlocking entirely new perspectives. Analyzing organizational complexity at a depth and scale that simply wasn’t feasible before. Now, you can see it all - clearly and quickly.
AI is the driver behind this transformation, but it’s also the answer – if used correctly. The key isn’t just in having the tools, however, it’s in how you use them. Because while AI opens new doors, navigating those doors still takes experience, insight, and the ability to ask the right questions.
What it takes to do AI-driven cost take-out right
To succeed with AI-led cost take-out, organizations need a clear methodology. It’s not about chasing isolated efficiencies or experimenting with standalone models. It’s about applying AI in a structured, strategic way that reflects the realities of complex organizations: diverse teams, evolving structures, and constantly changing priorities.
Here are some of the essential elements for a successful, scalable approach:
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1. See it all, not just some of it
Most cost take-out efforts focus on single functions – finance, HR, or supply chain. We surface everything: support services, core operations, local teams, global structures. That means you get a true, whole-business perspective. No blind spots. No missed opportunities.
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2. Move faster, with precision
Compress months of discovery interviews and Excel analysis into weeks, with a comprehensive organizational scan. Leveraging AI to generate real-time heatmaps of where cost-efficiency potential lies - what to focus on, and why.
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3. Repeatability and reliability
Today’s answer may not be tomorrow’s. AI driven cost take-out approach allows organizations to rerun assessments easily, enabling a dynamic and data-validated view of change, on demand.
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4. Act on insights with human intelligence
AI shows you the map - but transformation only happens when people make the journey. We help you activate change in the right areas, at the right time, with the right interventions. That’s the power of augmented consulting. AI for analysis, human intelligence for action.
Consulting, reimagined
This approach is made possible by BearingPoint’s GenXplore platform which draws insight from job descriptions, process documents, and org charts without needing data homogenization or new research. It works with any major large language model (LLM), from OpenAI to DeepSeek, allowing organizations to tailor the setup to their own specific preferences and compliance requirements.
But what sets us apart is the way we apply this power. Our orchestration layer prompts and guides the AI to deliver results consultants can act on.
Across sectors including manufacturing, retail, transport and public services, we’ve helped clients uncover redundancies, flag duplicative functions, and even map internal ESG contributions - all in a matter of weeks.
In a recent engagement with a leading European transportation company consisting of over 200,000 employees, we conducted an AI-powered organizational analysis to support cost take-out. Over 1,000 job profiles were assessed to identify redundancies and evaluate the impact of GenAI and automation on tasks and required competencies.
This isn’t technology for its own sake. It’s applied consulting intelligence — focused on client outcomes, aligned with strategic goals, and respectful of people and privacy. Every project is governed by clear DPAs, built with compliance and European AI law in mind.
