AI in – An MISRYOUM review of 500+ G2 ERP reviews from February to April 2026 finds buyers increasingly want unified, real-time data and AI capabilities—yet the value often hinges on workflow automation, implementation readiness, and vendor trust rather than AI featur
For months, ERP evaluations in 2026 have sounded almost routine: every platform promises AI, automation, real-time dashboards, and integrations that connect the business.
But in the middle of that sameness is a recurring frustration from buyers—one that shows up again and again in 500-plus G2 reviews collected from February to April 2026. Many teams aren’t asking whether ERP systems can *store* data. They’re stuck on whether these systems can reliably turn information into action after go-live.
“ERP solutions are becoming active partners in business growth, not just systems of record.” David De Rego, VP of Product Marketing, Acumatica, puts it plainly: the shift is away from ERP as passive documentation and toward ERP as something that helps move the business forward.
Still, buyers’ experiences often don’t match the pitch. Across the reviews analyzed in G2’s market research. “unified data” remains one of the most cited priorities—and the persistence of that demand suggests many organizations are still moving away from fragmented legacy systems where decision clarity suffers.
“A single source of truth remains one of the most sought-after ERP capabilities across 500+ reviews.” Nathan Calabrese, Research Principal, Finance & Accounting Procurement, G2.
That gap between promise and practice is where AI enters the conversation—carrying both momentum and skepticism.
Buyers say AI matters early. but decisions still rest on the workday
In G2’s ERP category data and user feedback. buyers repeatedly flag AI capability as a starting requirement. “If a solution lacks AI capabilities. it’s one of the first ‘dislikes’ buyers call out.” Nathan Calabrese. Research Principal. Finance & Accounting Procurement. G2.
Yet AI rarely closes deals on its own. Even when buyers want AI, they describe the ERP value they feel most through workflow outcomes: faster approvals, clear reporting, and automation that reduces the effort of coordination.
The reviews also suggest that visibility on its own is no longer enough. Real-time dashboards and reporting are widely expected. What buyers now look for is faster access to information, clearer context around that information, and ultimately faster, more confident decisions.
G2’s user feedback places workflow efficiency and data reliability at the center of what lands after implementation—while AI tends to play its role alongside those factors.
“The most meaningful impact of AI appears when it is embedded within workflows rather than layered on top.” In practical terms, reviews point to improvements like faster financial close processes, proactive identification of anomalies, and reduced manual intervention in routine tasks.
Those are the kinds of changes that can support efficiency gains and influence time to value—though the outcome varies depending on implementation and how ready an organization is to absorb the new workflows.
The harder part isn’t the feature list—it’s implementation. adoption. and trust
AI may dominate evaluation discussions. but the reviews repeatedly bring the focus back to the unglamorous parts of change: configuration. onboarding. and whether employees actually use the system the way leadership expects.
Flexibility can help buyers adapt an ERP to their business. It can also create complexity. Greater flexibility can bring more configuration requirements, increased implementation effort, and additional dependency on support or expertise.
G2’s market research highlights that buyers often struggle to estimate implementation complexity upfront. Reviewers describe a split: some say ERP implementation is straightforward, while others call out ERP setup and customization as “ongoing challenges.” That uncertainty can skew time to value.
Common challenges highlighted by ERP systems users include estimating time to value, understanding required resources, and anticipating integration challenges.
Even after a successful deployment, ROI still depends heavily on adoption. “Employee experience can make or break the entire adoption and transformation journey.” David De Rego, VP of Product Marketing, Acumatica.
But adoption is uneven across organizations. One buyer captured the caution many teams feel about rolling AI out too broadly too quickly: “We’re cautious about adopting AI at a company-wide level — it’s not yet embedded in how we operate day to day.” Mike Ziegler. G2 Icon and Marketing and Technical Specialist. Klingspor’s Woodworking Shop.
In other words, the question isn’t only whether AI exists in the product. It’s whether it fits inside how people actually work.
That’s also why trust has become more visible in buying decisions as ERP becomes more embedded in core operations. Buyers are paying closer attention to data ownership, pricing transparency, and vendor support and accountability.
“Customers own their data. Fair pricing, transparency, and community-driven development are core to how we build trust.” David De Rego, VP of Product Marketing, Acumatica.
Trust shows up operationally too. “Integration is key — if your systems fail or aren’t connected, execution becomes significantly harder.” Mike Ziegler, G2 Icon and Marketing and Technical Specialist, Klingspor’s Woodworking Shop.
When systems fall short, the reviews tie it to delays in data updates or gaps in responsiveness—small issues that can compound fast in day-to-day operations and directly affect confidence in the system.
As teams increasingly rely on peer reviews, aggregated insights, and AI-assisted research, signals like transparency and consistency can also shape how solutions get discovered and evaluated.
For buyers and sellers. the road to a deal looks different in 2026
The immediate takeaway from 500-plus ERP reviews is blunt: AI matters. but it doesn’t carry the category by itself. What moves buyer evaluations forward is how the system performs across unified data. real-time reporting. workflow automation. implementation readiness. integration. and the usability that drives adoption.
That shows up in a checklist built from insights from 500 ERP reviews, internal G2 market research expert input, and top ERP vendors like Acumatica.
Buyers are urged to look beyond feature claims and evaluate AI through workflow impact. automation value. and decision support—while prioritizing systems that improve real-time visibility across finance. operations. inventory. and reporting. They’re also told to pressure-test AI capabilities against real workflows and daily user impact.
Implementation readiness is positioned as a central evaluation task: assess onboarding complexity, migration requirements, and adoption risks early. The checklist also pushes buyers to account for implementation, onboarding, and adoption effort as part of the total cost and long-term ROI.
On the vendor side. the expectation is to align AI messaging with measurable business outcomes rather than feature volume. and to address buyer skepticism with proof points. The checklist emphasizes reducing implementation friction and improving onboarding experiences and support to support quicker time-to-value.
The piece also points to scalability and flexibility as long-term advantages, along with user adoption and usability—especially for mid-market teams with lean resources.
Finally, it stresses that vendor trust and transparency now weigh more heavily: evaluate transparency around data ownership, roadmap clarity, and support quality, and strengthen trust signals through customer proof, data, and cost transparency, plus consistent delivery.
One more shift is looming: the worry that ERP could be disrupted by AI-driven plug-and-play models
Outside the buying room. the pressure keeps changing. In a global environment where consolidation has become the norm. the guidance warns that B2B SaaS tools may be at risk of being replaced by a single feature update from AI giants like ChatGPT and Claude that push toward plug-and-play models.
ERP, in that view, needs to act as the backbone for operational efficiency and performance—not just a system that logs what already happened.
For buyers, that means looking past surface-level differentiation. For vendors, it means matching innovation with execution. Because in 2026, the real test isn’t what ERP promises. It’s how reliably it performs once teams are back in the flow of day-to-day work.
ERP software 2026 ERP G2 reviews Acumatica AI in ERP implementation adoption unified data real-time reporting vendor trust pricing transparency workflow automation integration
So basically they sell AI but you still can’t get anything to work after go-live?
AI claims clash with “workflow reality” — shocker. Everyone’s like real-time dashboards and then it’s just spreadsheets with extra steps.
I don’t really get why they keep comparing AI features to workflow, like aren’t they the same thing? My cousin said their ERP ‘had AI’ but it didn’t stop errors or whatever. Also it sounds like the vendor trust part is the real problem, not the AI.
This reads like every vendor demo is lying lol. They say unified real-time data and AI, but then it comes down to implementation readiness and automation (which is always the part that fails). I swear companies buy ERP thinking it’ll just magically connect everything, then six months later they’re still arguing about permissions and data cleanup. Also ‘active partners’ is such marketing talk, like ok tell me where the partner is when support tickets pile up.