ElevatIQ

Last chance to register for the webinar. Happening in the next few hrs. Manual orders. Duplicate data. Zero visibility. That’s how margins disappear in automotive supply chains. This webinar breaks down how EDI + ERP alignment eliminates friction and accelerates order cycles—while O-AMP funding offsets the cost. If you're a Tier supplier in Ontario, this is not optional anymore. Register now → https://lnkd.in/eWdgRkt4 #Automotive #Canada #Ontario

ERP failures don’t always explode on day one. Sometimes, they unravel paycheck by paycheck. In December 2025, the State of Rhode Island went live with the payroll module of its $91.2M Workday-based ERP system. On paper, it was a milestone. In reality, it was the start of a cascade. Within weeks, the cracks surfaced. Employees began reporting missing wages. Incorrect pay calculations. Overtime misfires. Benefits deductions that simply didn’t add up. This wasn’t a minor reconciliation issue. This was payroll. By January 2026, the noise turned into escalation. And then February made it worse. Hundreds of state employees received W-2 forms. But instead of the State of Rhode Island… They were listed under something else. “The State of Rhode Island Umbrella Company.” Not a legal entity. Not a rebrand. Just a configuration label. One that was never meant to leave the system. But it did. Because in ERP, what’s “internal” doesn’t stay internal for long. By March 2026, the situation crossed a different threshold. Leadership accountability. Governor Dan McKee terminated the Director of Administration. The system itself? Still not stable. Still in “hyper care.” Still under the watch of Accenture. And the pressure kept building. Unions didn’t hold back. They called it what many were thinking: “the latest and most embarrassing failure.” But here’s where this story cuts deeper than most ERP headlines. This wasn’t just about system errors. It was about who those errors impacted. Correctional officers. Employees on medical leave. Cancer patients relying on accurate benefits. Public servants with decades of service. When payroll fails, it’s not operational noise. It’s personal. And that’s the nuance many ERP conversations miss. Read: https://lnkd.in/eMDf2HWG #ERP #CIO #CFO

Everyone is debating whether AI will kill SaaS. Meanwhile, vendors already made their move. Quietly. Not by replacing ERP. By wiring AI into every layer of it. Top to bottom. Side to side. This isn’t “AI on top.” This is AI inside your workflows. Inside your data model. Inside your permissions. Inside your decision logic. You don’t just use the system anymore. The system starts shaping how you think. That’s the part most teams miss. They plan for features. They don’t plan for entanglement. Because once AI is embedded this deeply, switching is no longer a technical project. It becomes an operational reset. A data migration problem. A governance nightmare. A change management crisis. All at once. And by the time you realize it… You’re not evaluating ERP anymore. You’re negotiating your way out of it. AI didn’t kill SaaS. It made SaaS harder to leave. #ERP #CIO #CFO

Last chance to register for the webinar. Happening in the next few hrs. Scaling fast with modern tools… but still stuck with broken inventory, messy data, and manual reconciliation? That’s the hidden cost of “modern” stacks. This webinar breaks down DOSS ERP Review: Independent, In-Depth — an AI-native platform built for DTC + retail startups. What you’ll learn: • Where DOSS accelerates (agentic workflows, conversational reporting, fast deployment) • Where it breaks (partial inventory, reconciliation risks, GL separation) • How to decide if it fits your architecture Because ERP today isn’t about features. It’s about data integrity and operational control. Register now → https://lnkd.in/eN5_vBKB #ERP #AI #DOSS

Most ERP failures don’t start at go-live. They start in the contract. In February 2023, Société de l'assurance automobile du Québec (SAAQ) rolled out a digital platform. On paper, it was “ready.” In reality, it wasn’t. Testing gaps were known. Readiness criteria were not fully met. But the system went live anyway. What followed wasn’t just a rough launch. It was a breakdown. Citizens couldn’t access essential services. Frontline operations stalled. Public trust took a hit. And then came the uncomfortable question. How did this system get approved for production? The answer wasn’t technical. It was contractual. The implementation partner had delivered “something.” But the contract didn’t clearly define what “working” actually meant. No hard acceptance criteria. No enforceable benchmarks. No objective gate to stop deployment. So the system passed… even though it failed. This is not an isolated case. It’s a pattern. Organizations spend millions on ERP. They align stakeholders. They push toward deadlines. Then go-live arrives. And everything unravels. Vendors point to the contract. “We met the requirements.” Customers push back. “This doesn’t work.” Now it’s no longer a technology problem. It’s a legal one. Because when acceptance criteria are vague, “done” becomes subjective. And subjective definitions don’t scale in high-stakes implementations. They escalate. Into disputes. Into delays. Into litigation. Here’s the uncomfortable truth most teams avoid: ERP success is not just about configuration, testing, or change management. It’s about how precisely you define success… before the project even starts. Acceptance criteria are not a formality. They are your last line of defense. They determine: What “ready” actually means. What must be proven before go-live. What happens if the system falls short. Without them, you don’t control the outcome. You negotiate it… after failure. And that’s the most expensive time to negotiate anything. The organizations that get this right do something differently. They don’t rely on generic statements like “system meets business requirements.” They define measurable, testable, enforceable conditions. Real workflows. Real data. Real users. Real scenarios. They simulate production before production exists. Because once you go live, there’s no safe environment left to discover what’s broken. The SAAQ situation is a reminder. Not about technology failure. But about governance failure. If your contract cannot stop a bad system from going live, your project is already at risk. And if “working” is open to interpretation, expect that interpretation to happen in court… not in testing. Read: https://lnkd.in/e5zRrjsk #ERP #CIO #CFO

Ontario automotive suppliers: your ERP project might already have funding waiting. Up to $150K through O-AMP to modernize operations, improve visibility, and streamline EDI + ERP workflows. Stop patching spreadsheets. Start building a scalable, compliant supply chain. Join this session → https://lnkd.in/eWdgRkt4 #Automotive #Canada #Ontario

Everyone wants AI inside ERP. Faster answers. Less reliance on reports. No more waiting on analysts. So they switch from dashboards… to conversations. “Show me revenue.” “Break it down by region.” “Now include margins.” Feels magical. Until it isn’t. Because AI doesn’t understand org charts. It doesn’t respect informal boundaries. It doesn’t pause and ask, “should you see this?” It just executes. And suddenly… Access is no longer controlled by screens. It’s controlled by questions. That’s the shift most teams underestimate. Permissions designed for dashboards don’t translate cleanly to natural language. What used to require five clicks and context… now takes one sentence. Same data. Different exposure. This is where most ERP strategies break. They invest in AI capabilities. But delay governance conversations. Security comes in late. Change management comes in reactive. And by then… Everyone already “has access.” The real transformation isn’t AI. It’s permission architecture. If you don’t redesign it… AI will expose it. Access scaled. Governance didn’t. #ERP #CIO #CFO

For decades, ERP systems have followed the same blueprint. Capture transactions. Enforce structure. Push data through predefined workflows. Rigid. Deterministic. Predictable. And increasingly… Out of sync with how businesses actually operate. Because the world isn’t static anymore. Conditions change. Signals evolve. Decisions need context. And that’s where a new category is emerging. AI-native ERP. Not as an upgrade. As a complete architectural reset. Take Rillet as an example. This isn’t legacy ERP with AI layered on top. No bolt-ons. No afterthought copilots. AI is embedded at the core. Meaning the system doesn’t just store data. It reasons over it. Financial data. Operational signals. Contextual inputs. All connected. All continuously interpreted. That’s a very different paradigm. Because traditional ERP systems are built around transactions. AI-native systems are built around intelligence. And that inversion changes everything. How systems are deployed. How they’re configured. How they evolve over time. Instead of hardcoding workflows… They can infer them. Instead of relying on brittle customizations… They can adapt dynamically. Instead of forcing users to interpret data… They can generate insights natively. This is where things get interesting. Because once intelligence becomes native… The role of ERP shifts. From a system of record… To a system of reasoning. From enforcing process… To orchestrating it. From static configuration… To adaptive behavior. And that has real implications. Workflows can be automated without months of setup. Relationships between data points can be inferred, not manually mapped. Systems can respond to changing business conditions… Without requiring a full reimplementation. That’s not incremental improvement. That’s a structural shift. But here’s the nuance most conversations miss. AI-native doesn’t eliminate complexity. It redistributes it. From configuration… To data quality. From customization… To governance. From process rigidity… To decision accountability. Because when systems start making recommendations… Or even decisions… The stakes change. Bad data doesn’t just sit in reports. It drives actions. At scale. So yes, AI-native ERP platforms unlock: Faster execution. Smarter workflows. Better decision-grade intelligence. But they also demand: Stronger data discipline. Clearer ownership. More intentional architecture. This is where enterprise systems are heading. Not toward more features. But toward more intelligence. The question is no longer: “Which ERP has AI?” It’s: “Is your ERP designed to think… Or just to record?” Listen: https://lnkd.in/e97mjYXp #ERP #CIO #CFO

AI won’t fix broken processes. It will amplify them. Clean data. Integrated systems. Clear workflows. That’s the foundation. Learn how to apply AI across forecasting, scheduling, and inventory—without blowing up your ERP 👇 Register now: https://lnkd.in/ewGXgGYq #Operations #ManufacturingAI #ERP

Everyone thinks ERP failure happens at go-live. It doesn’t. It starts much earlier. In that first meeting. When the timeline looks clean. When everyone nods. When no one asks, “are we actually ready?” Planning gets compressed. Ownership gets assumed. Governance gets skipped. Because momentum feels like progress. Then reality shows up. Processes don’t align. Teams interpret things differently. Decisions made in demos don’t hold in operations. Now the project isn’t moving forward. It’s unraveling. So the team works harder. More meetings. More patches. More “temporary fixes.” Until go-live arrives. And suddenly… everything that was skipped demands attention at once. That’s when people call it a “crisis.” But it’s not a surprise. It’s accumulated debt. ERP doesn’t fail because of technology. It fails because preparation was treated as optional. Shortcuts feel fast early. They get very expensive later. #GuptaERP #CIO #CFO