Faster transformation isn't enough.

For years, transformation programs have been judged by three measures: budget, timeline, and go-live date.

As I wrote in my last post, those measures gradually replaced the questions organizations expected ERP to answer in the first place. The real objective is measurable business improvement: more productive teams, stronger margins, and sharper decision-making.

That’s why I think we’re entering a more interesting phase of transformation. With AI-native delivery, the question is no longer how quickly implementation can happen; it’s how quickly we can create value.

What AI takes off the table.

Much of the work that used to fill a project plan is being condensed.

Workshops can be recorded, transcribed, and mapped against industry best-practices. Functional specs, solution designs, and technical documents are generated from that output, with an expert human eye on review. Configuration and development are being compressed—in our view, to make more room for deeper and more lasting improvements.

Some of the thorniest risks in ERP are becoming easier to manage, including data migration and cleansing, integration, and test coverage. To a degree, AI also eases scope creep, heavy customization, and timeline pressure that comes along with both. Time gains will continue to accumulate as our AI operating system develops and as the technology and our teams build on what we learn.

More consequentially is how that operating system develops because it’s different from any other system we’ve seen in the market. We aren’t just teaching agents; agents are feeding insights back to our team to present clearer, fact-based pictures of how a business operates. In terms of driving results, it’s the most impactful combination of human and agentic capabilities.

Faster to what?

My estimate is that we can remove 20% to 30% off delivery timelines today, depending on the customer. So yes, faster is here. But what matters most is what that time buys you.

If a quicker build implementation re-creates what you already had, you arrive at the same problems sooner. Moving to the cloud isn't the same as modernizing. The programs that treat go-live as the finish line quickly meet the old constraints again: messy integrations, poor data migration, minimal testing coverage stalls progress. Speed doesn't matter if it takes you in the wrong direction or if you aren't clear on who operates and supports it, end-to-end.

With HSO's AI-native delivery model, we're treating those new efficiencies as an opportunity to reinvest in the type of work that changes business operations during and after the project: architecture, foundations, optimization.

AI alone can’t effectively decide the scope of your project or design a solution that reflects how your business could operate now and in the future. That advisory work, understanding how to re-engineer a business and its processes to create value now, and as you grow, has always been the most valuable part of transformation programs. The difference now is that our people have more time to devote to it and better insight to work with.

It's time to measure ERP for value again.

Agentic AI is bringing measurable outcomes back into the conversation, because it has the potential to move KPIs quickly when experienced people have both the time to focus on improvements and the insights (delivered by agents) to see where it will count most.

The original drivers of business transformation projects are back.

The catch is how you do it. A one-time savings opportunity presented with a shorter project can rapidly fall short. The better approach is to pick two measures: those that matter most for the long-view and those that can be speedily addressed to create immediate and ongoing savings. Don't chase dozens of KPIs. Find the top five where the business is struggling—order-to-cash, quarter close—and show where a transformation project with the right agents can move them.

You don't need to wait for go-live anymore.

That quick hit approach, accelerated with AI-infused delivery, means you can prove the value of your investment while implementation is happening. That gets you further than acceleration for the sake of acceleration. So do updated expectations.

Our teams worked recently with a Nordic distributor whose opening request was a straightforward ERP replacement. When we sat with the CIO, we discovered together that what they needed most was to get more from their data. So we sequenced the work differently: a Data & AI project to first consolidate their data into a single, usable foundation. On top of that, we deployed enterprise-ready agents that removed manual effort for their teams immediately. Value arrived early, and the ERP program followed, on a foundation that was already paying off.

Some call this low-hanging fruit. That's true and fair. I call it good advisory: find the early, high-value move that starts returning investment immediately instead of treating transformation as a goal unto itself.