See business transformation in a whole new light.
Realize more from ERP, CRM, and data transformation programs with HSO's AI-native delivery model.
Expect to move faster to business value.
03 Oct, 2026
Where (and when) to look for the greatest gains from AI-assisted ERP delivery.
Timeline and cost will stay at the top of every shortlist, and every transformation partner will soon claim they can provide both.
Buyers are right to be wary of the "faster and cheaper" pitch, because the record is poor generally. According to Enterprise Resource Planning Market Insights, 2026 (Forrester Research, Inc., May 21, 2026), budget pressures and legacy replacement costs remain major challenges for ERP adopters, while roughly half continue to rate customization and integration as complex.
I've seen it unfold both ways. We were recently selected by a global retailer who looked past another partner promising bargain pricing. They chose us because we understood their business and their culture and could demonstrate a credible route to value.
Another prospect told us we had the strongest team and best understanding of their business, and its leadership still chose on price. The catch is that buyers who decide that way often end up paying for the same project twice.
Of course, platform choice plays into it as well.
A European company whose strategy is to double revenue by 2030 with agentic AI chose Microsoft and HSO over a bid with lower services and licensing costs. They told us the deciding factors were the Microsoft roadmap for Copilot and agentic capabilities, along with a partner that co-develops with Microsoft.
Each of these buyers had a clear idea of what they wanted their investment to accomplish. AI makes that clarity more valuable, because it changes what a partner can deliver for the same budget. That’s assuming you know what to ask.
We rebuilt how HSO delivers around those shifts, and the thinking behind it comes down to four questions I’d encourage any leader to put to a transformation partner, including us.
1. When will we see the first return?
In a traditional program, value waited for go-live. That’s no longer the case. When AI takes on repeatable delivery work, the time it frees should go into early moves that pay back while the larger program is underway.
That might be an agent that takes manual work out of order entry, or a data foundation that gives leaders reports they can quickly take action on. That’s how we approached the Nordic distributor I described previously. The return should start during the build, and a good partner can tell you where.
2. Where will the time savings go?
If a partner can compress specs, configuration, and testing, ask where their teams will redirect that expertise. Our answer is that it should be moved to work that amplifies outcomes: architecture, business process redesign, governance, and change management.
Agentifying a business means rethinking how the work gets done, and that requires people who know your industry and have redesigned processes like yours before.
Ask, too, how those experts are surfacing deeper insights from your business. When agents can help surface how work happens, experienced consultants connect the dots faster and with more reliable information than can be mined in a series of conversations.
3. Will we go live AI-ready?
Many programs treat AI as a separate initiative or a distinct phase. The more durable approach designs platforms, data, processes, integrations, agents, and governance together from the outset. That way, agents built into your Microsoft platform or built by your partner can get to work before go-live, inside your security and data model, on data clean enough for agents (and your teams) to trust.
We’ve committed to building AI-readiness from day one.
4. How much of our industry comes built in?
A partner starting from a blank page will spend your budget learning your business. Industry knowledge should arrive with the team you choose. That’s the real accelerator. Look for:
Consultants who have worked in your sector
Workshop output mapped against industry processes
Accelerators and agents built for how your industry operates
That’s the role of HSO’s 360 industry solutions and enterprise-ready agents. The result is an implementation that goes live already aligned with how your business runs, how quickly you’re ready to move, and where you need to go next.
Speed and savings, with a bit of discipline.
Across thousands of projects around the globe, HSO has built delivery patterns, industry IP, reusable assets, and project knowledge. We've now connected all of those with our people, methods, and agents in an AI operating system that powers our AI-native delivery model.
Taken together with the answers above, it describes how we are changing what’s possible today with ERP, CRM, data, and business applications programs. It means transformation can deliver more, and leaders should expect more: a shorter path from investment to return, lower delivery risk, and AI-readiness designed to start providing value earlier and kick off ongoing returns.
More important than rapid delivery time or a lower price is what you can expect from the budget and timeline you have with an AI-assisted approach. If you want to test these questions against your own business case, we can help you map requirements, expected benefits, and ROI before you move ahead.
Take it back to the charter.
Early in my career, a project charter set out what a program was supposed to deliver, and after launch you went back to see how you measured up. We’ve turned AI-driven efficiencies back toward the initial goal of business transformation projects: to improve KPIs. The difference is that now it happens with gains you can measure during implementation and a foundation to keep building on into the future.
So by all means, expect faster. But also expect more. Take the conversation further and ask: When does the return actually begin, and how does it compound from there?
