Case study
Agentic AI unlocks $400M+ in identified cost-to-serve savings
Almost every company is investing in AI, but few can show returns. Success requires the right strategy to point AI where it can generate value, seamlessly embedding AI into work processes, and leading people through the transformation.
AlixPartners is the AI partner for leaders who want to see results on their P&L. We do not specialize in pilots, demos, or slideware. We solve business problems, fast.
We pair deep technical capability with extensive business experience across industries. Our people have been through mergers, restructurings, and large-scale transformations, and many have served as interim C-suite and board members. They know what it takes to carry a transformation from the boardroom all the way through to the day-to-day tasks.
Our teams work with clients to quantify the value at stake, map a path to it, and set how we will measure success together. We redesign workflows, embed new AI capabilities, and ensure that each initiative is held against a return target that your team can verify.
To get our clients to their goals, we cover the full path from strategy to build to measurement without a handoff in the middle. We set AI strategy for global companies, build and ship production agentic systems, and stay accountable for what lands on the P&L. We recommend whichever model or platform best serves the business case and is approved for your data, as the key is not our preferred tool but the tools your organization will use even after we’ve finished our work together.
Clients turn to us because we have done this before, and because we are focused on one thing: value you can see.
"Getting that buy-in is key to drive AI adoption that is higher-quality and cost-effective. Now that AI pricing is shifting to a consumption-based model, it's particularly important for leadership to be just as concerned about how their employees are using the technology as they are about how much they're using it."
What makes our approach different
We help you decide what is worth building
Strategy firms set direction and hand off from there. Systems integrators build what they are specified to build. We do both, and the part that falls between them, like working out which initiatives justify the investment, redesigning the work so those initiatives pay off, and sequencing them so the business can absorb the change.
We start with what you already own
We are platform agnostic, so the first question is always whether your existing systems can do the job. On a recent engagement, 21 of 30 prioritized initiatives needed no new build whatsoever. Our goal is to provide the best and fastest solutions to your challenges, not sell arbitrary upgrades.
Every number is traced to its source
We apply the same evidence discipline to AI business cases that we apply to a quality-of-earnings review, where every number has to trace back to source. Every claim gets graded by the evidence behind it, projected value gets separated from proven value, and your team can follow any figure back to where it came from.
Proof arrives early
On a twelve-week engagement, a steering committee can be looking at a costed opportunity list in week three. We can do this because our people have the experience to make decisions quickly, and because we use AI to accelerate the process. Personal interviews, data analysis, modeling, and AI agents all come together so we get from analysis to delivery faster than a conventional approach allows.
Where we start
AI QuickStrike®
You want to know where AI can bring value to your organization
A rapid, modular assessment that ends in a costed, sequenced plan ready to put in front of a board. We set the ambition against specific parts of the P&L and the KPIs attached to them, align leadership and the governance guardrails, score your workflows for value and feasibility, then sequence the work. You get a plan you can act on, not a diagnosis.
AI Stress Test
You have invested in AI, but are unsure if it has paid off
A quality-of-earnings review of your AI program. We establish where the capital actually sits, test what has verifiably been achieved against what was claimed, diagnose where value leaked and why, and make a call on every initiative: scale, optimize, rebuild, pause, or retire. You gain a verifiable account of the spend to date and a documented recommendation for what’s next.
AI Proof of Value
You are looking for evidence before you commit to AI investments
A working proof built on your systems and owned by your teams, so the business case rests on something real rather than a vendor demo. We build it with your people, which means you keep the capability when we go.
AI Recovery
A program has stalled, or a build is not working
An independent review of a program, a stalled deployment, or a vendor build that has not delivered. We establish what went wrong, what is salvageable, and what it takes to reset the path to value.
How we take our clients to scaled value
Scaling is where value from AI actually gets captured, and it is the part that takes operating model changes, training people, and accountability for the numbers.
We work with you the whole way, from first opportunity to value in the P&L, with your teams building alongside ours throughout. That is how the capability transfers, and why the value holds once we have gone.
What we believe
AI is a business opportunity first, a technology one second
Your business priorities set the AI agenda. Every AI investment must earn its spot against a real business outcome and ROI.
It’s about unlocking the most valuable Enterprise Value levers, not just reducing costs
The larger moves are in redesigning operating models and workflows from the ground up to unlock strategic, growth, cost, and balance-sheet value.
Human-centric change management makes AI results stick
Embedded from day one with a clear owner – and anchored in the company’s values – it is what drives real adoption and makes results last.
Cost and risk optimization should be designed into the AI solution from the start
Cost, risk, and governance considerations need to be a key part of the design phase. This avoids surprises, or worse critical data or legal failures.
AI is only as good as the data underneath it
AI runs on data that is integrated, accessible, and trusted. That foundation must be built from the business priorities it serves.
Fix the system, not just the model
A capable model with broken workflows delivers nothing. The value is in redesigning and re-imagining work and activating adoption and ongoing improvements.
The learning is in the doing
Your teams build alongside ours from Day 1. That is how capability transfers and results stick after we leave.
Case studies
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