As fast-moving AI tools and cloud systems rewrite the rules of corporate tech, organizations must abandon rigid deployment playbooks for agile, future-focused strategies.
Sydney Scott
Editorial Strategist, AI
Workday
Enterprise resource planning (ERP) systems are the backbone of the corporate tech stack, keeping daily operations running smoothly. Seven in ten enterprises rely on ERP as their core operational infrastructure, and the market is exploding—surging from a $92.6B valuation in 2025 to a projected $281B by 2034.
As the market grows, best practices for ERP implementation are evolving. Organizations face new pressures: migrating from legacy systems to the cloud, supporting distributed and hybrid workforces, and adopting AI and intelligent agents to automate and enhance core workflows.
Without the right implementation plan, the risks are real. Gartner predicts more than 70% of ERP implementation projects will fail to fully meet their goals, and a quarter will fail catastrophically.
What can IT and executive leaders do to avoid this fate and maximize the value of their ERP investment? It starts with an ERP implementation plan rooted in company-specific goals—and agile enough to incorporate new capabilities as they emerge.
Report
7 in 10 businesses rely on ERP as their core operational infrastructure, and the market is expected to more than triple in the next decade.
ERP implementation has always required careful planning and execution. Today, as business demands evolve faster than ever, the plan must also be designed for continual evolution.
Currently, 83% of organizations are running some or all ERP workloads on the cloud, and 62% of all cloud ERP spending will go to AI capabilities by 2027. Less than a decade ago, cloud ERP was new to many organizations. Just last year, many leaders had not yet encountered AI agents in a work context.
For leaders, the takeaway is clear: build an ERP strategy focused on adopting these technologies today while remaining flexible enough to incorporate the innovations still on the horizon. Here are the ERP implementation best practices your company needs:
1. Align ERP strategy with business goals
2. Establish strong executive sponsorship
3. Redesign core processes before implementation
4. Adopt a cloud-first, scalable architecture
5. Prioritize data quality and integration
6. Design for AI, automation, and emerging capabilities
ERP projects often begin as technology upgrades—an approach that leads to weak outcomes. Instead, treat your ERP implementation as a business transformation program that supports specific operational goals. Identify the outcomes leaders expect once the system is live, such as faster close cycles, stronger workforce visibility, or more accurate planning.
During this step:
When goals are explicit, decisions become easier, scope discussions stay focused, and teams can measure progress against outcomes vs. debating features.
ERP implementation affects every function in the organization, and without clear leadership the project loses direction. A visible executive sponsor and a well-defined implementation team keeps priorities aligned with business strategy and ensures decisions happen quickly.
To make leadership visible and strong:
Robust governance removes ambiguity around decision authority. It ensures implementation choices stay anchored to business outcomes rather than drifting toward technical convenience.
Too many ERP projects fail because teams configure new systems around old ways of working. Implementation becomes a lift-and-shift exercise instead of an operational reset. Before making configuration decisions, step back to determine which business processes still serve the organization and which ones are creating drag.
Important considerations:
Do this work early so the platform can reinforce stronger execution from the start. Otherwise, you risk spending time and budget to automate inefficiency.
For most organizations, ERP modernization should begin with a cloud-first mindset. Cloud-based ERP gives businesses more flexibility to scale, support distributed operations, and reduce the burden of maintaining customized legacy environments. It also creates a foundation to take advantage of new capabilities in AI, automation, and real-time analytics.
Every implementation journey is different, and not every organization needs to move everything at once. Regulatory requirements and existing infrastructure may require a phased approach. But those realities should shape the rollout plan, not change the long-term direction.
The goal is a unified ERP environment that grows with the business and adapts over time. To support that:
A solid ERP architecture treats the cloud as the foundation for long-term scalability, even when the implementation happens in stages.
Currently, 83% of businesses run their ERP on the cloud, and 62% of cloud ERP spending will soon go to AI.
ERP implementations can expose data problems that exist inside the organization. When finance, HR, and operational platforms store conflicting information, the ERP becomes a place where those inconsistencies surface. And if teams wait until migration to address them, implementation slows and credibility suffers.
Make sure your data is clean and ERP-ready by ensuring you:
Durable data governance establishes a dependable operating model for information. When ownership is clear and integrations are intentional, your ERP becomes a reliable foundation for decision-making—not a system that amplifies existing issues.
AI and agents now shape ERP implementation at the workflow level. Leaders are evaluating where agentic capabilities may eventually handle tasks such as routing exceptions, surfacing recommendations, drafting responses, or completing defined actions within approved boundaries.
This makes the design phase critical. The goal is to build workflows and controls that support AI and agent integration where it fits, with governance built in from the start—not bolted on after the fact.
To build with that in mind:
Enterprise ERP processes demand precision and auditability. AI delivers its greatest value when it operates within those boundaries—combining intelligent reasoning with the context, permissions, and business rules that ensure trust. Designing for this combination early means teams can adopt new capabilities without revisiting core design decisions.
The new workflows and structures brought on by an ERP implementation change the way your employees carry out their daily responsibilities. With that change comes natural hesitation, and often resistance from employees and key stakeholders. Clear, transparent communication and change management are essential to smooth the transition.
To help your teams embrace your new ERP:
When training, leadership, and feedback stay connected to how work actually happens in daily operations, employees gain confidence in the platform and your organization can realize value sooner.
Treat post-implementation as the start of the optimization phase—not the end of the ERP project.
Go-live isn't the endpoint for ERP implementation. It's the first time your system interacts with real operational pressures, and inevitably that brings on new lessons learned and adjustments to be made over time to optimize. Workflows will encounter edge cases that need defining, and teams may surface friction points not visible during testing.
Treat post-implementation as the start of the optimization phase, not the end of the project:
By actively refining your system after launch, you position the organization to see higher ROI and better support teams across the business.
Selecting the right ERP partner is as important as the software itself. Your ideal provider doesn't just offer technical configuration but acts as a strategic architect who guides you through implementation and offers ongoing support beyond it.
Just as your ERP solution must be flexible enough to evolve, your ERP vendor should have a proven track record of continuous innovation—delivering new tools and capabilities, including AI and agent-based workflows, as they emerge. Their methodology should be transparent, agile, and built for long-term scalability.
The right partnership is built on shared commitment to user adoption and a human-centric approach to technology. Successful ERP implementation is a human achievement, not just a technical one.
By choosing a partner that invests in your team’s self-sufficiency and continuous optimization, you ensure your ERP implementation is just the first step to gaining compounding value well after go-live.
AI represents a huge opportunity for SMBs to gain an advantage—but just 7% are currently scaling their AI operations effectively. Learn four ways you can leverage AI today.
Report
A gap between effort and impact is the real ROI problem. Discover the solution.