ERP as We Know It Is Dead – What’s Next? Get Ready for Agentic AI ERP, Says Rimini Street CIO Vijay Kumar

Recommendation: Adopt agentic AI ERP now to drive workflow, enable automated decisions, and save costs. Rimini Street CIO Vijay Kumar says the old ERP approach is dead; the next wave is modular, AI-enabled suites that integrate planning, execution, and decision-making in one, agile platform.

Move away from rigid, monolithic packages toward strong, modular digital suites that fit your place in the value chain. In manufacturer contexts, the niche is clear: replace bespoke, file-based workflows with integrated processes for procurement, production, and after-sales. These changes reduce handoffs, cut cycle times, and free people to focus on high-value things.

Action plan: map your existing workflow, pick two to three core processes in a single place to pilot with agentic AI ERP. Define Bedingungen for success, set 30-, 60-, 90-day milestones, and track automated throughput, accuracy, and savings per process. Make collaboration with IT, operations, and manufacturing leadership a priority; these groups will help scale and avoid silos.

People and governance matter as much as technology. Provide hands-on training, create quick-run guides, and align incentives so teams embrace automation instead of resisting it. Klar data governance and Eigentum save rework; this is critical for a successful ramp. Vijay Kumar’s guidance is concrete: start with a data-fabric view, set access controls, and require suppliers to connect via open APIs within the next quarter.

For leaders, this transition means new skills, new vendor relationships, and new metrics. Prepare a 12-month plan to expand pilot to core lines and to push automation across supplier networks. The result: a cleaner ROI, faster cycle times, and a platform that scales with your ambitions, says Kumar.

Roadmap milestones for Agentic AI ERP rollout

Begin with a three-month pilot in procure-to-pay, order-to-cash, and FP&A to prove profitability uplift and establish a scalable blueprint. This step creates a required baseline for record quality and ROI measurement, targeted erps and agentic automation in a controlled environment, anywhere your teams operate, and provides a measurable case for expansion.

Phase 1 – Foundations (0–90 days)

1. Clarify the vision and case: define three things the pilot must prove–profitability uplift, reduced inefficiencies, and improved accessibility across user groups.
2. Ensure required data readiness: establish data governance, clean records, and identify gaps that block agentic AI.
3. Define scope and erp interfaces: map erps and plan integration points across three core areas to reduce handoffs and ensure data consistency.
4. Design agentic workflows to solve repetitive tasks and lighten the burden on staff, delivering faster cycle times and higher task accuracy.
5. Set success metrics and a measurement plan: track profitability, average cycle time, and user adoption to demonstrate tangible impact.
6. Plan accessibility and anywhere deployment for the pilot: confirm multi-channel access, role-based views, and secure remote usage.

Phase 2 – Scale & Integration (90–210 days)

1. Extend to additional processes and business units across erps, increasing automation coverage while maintaining control over data integrity.
2. Incorporate leandna principles to drive continuous improvement and rapid feedback loops for model tuning and workflow refinements.
3. Close gaps and inefficiencies identified in Phase 1: prioritize fixes that touch record quality, data latency, and decision correctness.
4. Improve profitability and ROI tracking across the expanded footprint, with transparent dashboards and quarterly reviews to validate momentum.
5. Enhance accessibility with multi-channel interfaces and anywhere usage, ensuring non-technical users can interact with agentic AI safely.
6. Define whats next and establish governance, training, and risk controls to sustain growth beyond the rollout period.

Readiness checklist: data quality, security, and integrations

Begin with a data quality audit to identify data owners, assign accountability, and establish a single source of truth. Implement automated validation for critical fields (customer_id, product_code, vendor_code) and a remediation workflow that closes issues within 24 hours.

Define data quality levels: accuracy, completeness, timeliness, and consistency across systems. Profile data regularly, fix high-severity issues first, and standardizes fields so ERP, CRM, and marketing tools share the same definitions.

Security: implement role-based access, least privilege, encryption at rest and in transit, and immutable audit logs. Track access events, alert on anomalies, and ensure visibility of security posture for admins and agents.

Integrations: reduce fragmented stacks by standardizing data contracts and using robust adapters to connect ERP with key tools. Plan data flows, avoid duplicate feeds, and design for change with versioned APIs. This lowers overhead and keeps tools aligned.

Today trends show teams expect data to be accessible and visible anywhere. Marketing, product, and operations teams benefit from a unified view.

Today youve got to align on a practical checklist: assign data owners, map lineage, set data quality thresholds, implement monitoring, and codify security policies. Before moving into production, validate end-to-end data flows and confirm each integration has a clear owner.

Dont track data you dont measure; use dashboards and clear metrics to show progress. Track data quality score, latency, and integration footprint to prove improvement.

Result: faster time-to-value from agentic ERP rollout, reduced overhead, and improved efficiency across levels.

Know the biggest risk areas and keep monitoring; if data quality slips, it slows downstream processes. Ensure data remains accessible to the right levels across product, marketing, and operations teams.

Disruption-minimizing tactics: automation, governance, and change management

Automation backbone for ERP disruption

Action: deploy a modular automation baseline across orders, updates, and invoicing, aiming for a 20-30% faster order-to-cash cycle and a 30-50% drop in manual errors in the first 90 days. Use pre-built connectors to link fragmented data between sales, inventory, and finance, and ensure automated data flows connect between systems that previously lived in silos. Thats how you deliver faster, more reliable updates to customers, and you can hear the impact in growing sales teams. Moving tasks onto automated flows reduces complexity and really speeds up throughput across edge cases where data must stay in sync.

To maintain momentum, keep governance lightweight yet effective: define ownership across vendors and internal teams, publish a simple data dictionary, and require approvals for changes that affect orders or updates. This reduces older configurations that creep into processes and creates a place for clear decision rights. youre able to track who touched what and when, so the error rate stays low and you can scale operations without friction. Therefore you can scale operations with confidence.

Measure impact with three metrics: cycle time from capture to delivery, error rate per transaction, and the share of processes that run automated end-to-end. If you see growth in these areas, expand automation to connecting other tasks and pre-built components. It delivers value faster when vendors provide reliable connectors and you maintain a single source of truth that teams can rely on across updates and orders.

Governance and change management

Change management starts with a phased plan: pilot automation on a single workflow, collect updates from users, and iterate. Each instance of improvement should be documented and tested so the next one is smoother. Use training that emphasizes the link between sales, operations, and suppliers, and show how automation reduces the difficult handoffs between teams. This approach keeps momentum and minimizes disruption as you grow.

Governance rules should be just-in-time: assign owners, enforce version control for data models, and set thresholds for when a change requires sign-off. With clear accountability, you avoid the back-and-forth that slows progress. Therefore change becomes a normal part of the workflow, not a disruption. Vendors can be integrated in a controlled way, delivering improvements that are easy to connect and scale, and updates stay aligned with business goals.

Final tip: maintain a living playbook of automation patterns so teams can reuse pre-built templates rather than reinvent the wheel. This reduces difficult rework, keeps momentum, and supports growing operations. The playbook should include a simple process for capturing feedback, tracking updates, and planning incremental improvements that steadily increase throughput and customer satisfaction.

Financial planning: TCO, benefits, and risk controls for cloud ERP

Begin with a transparent TCO model that isolates cloud ERP costs and ties the value delivered to business outcomes; set quarterly reviews to verify benefits and adjust scope. This approach makes the value meant by the investment concrete, so companies can respond quickly if a measure falls short. Moreover, separate cloud-based costs from legacy on-premise spend to reveal true drivers of reduced risk and faster time-to-value.

TCO should cover subscription fees, data transfer and egress, integration, customization, and implementation, plus change management and training. Typical ranges for mid-market cloud ERP subscriptions run from $20 to $60 per user per month, with initial implementation in the 0.5–1.0x annual license range; add data migration, reporting setup, and integration work in the 0.3–0.8x range. Therefore, a ballpark first-year TCO can span 1.5–2.5x the annual subscription if scope includes multiple cloud-based apps, some complex integrations, and significant data cleansing. On the other side, on-premise costs–hardware, facilities, and staff–converge into a higher upfront outlay and longer refresh cycles, which some companies still bear even as cloud adoption accelerates.

Benefits flow from standardization and automation: cloud-based platforms enable purpose-built feature sets that align to finance, operations, and supply chain within a single data model. For many, accelerating automation reduces manual errors and speeds monthly close by 20–40%, while continuous updates keep controls aligned with regulatory demands. Adding automation across procurement, accounts payable, and revenue recognition delivers measurable value; some firms report a 15–25% uplift in process efficiency in the first year, with further gains as data quality improves.

Risk controls start with governance and data protection: enforce strong access controls, role-based permissions, and multi-factor authentication; apply encryption at rest and in transit; and implement strict data residency rules when required. Say the reliability target, so you can respond to incidents, with an RPO of 4–12 hours and an RTO of 1–8 hours for critical processes. Use continuous monitoring, standardized change management, and regular tabletop exercises; this reduces the chance of configuration drift and reduces the impact of a potential breach. Demands from auditors and regulators also drive the need for tamper-evident logs and auditable workflows across cloud-based environments, therefore a formal incident response plan belongs to every guide and policy document.

Guide your build by defining a clear class of users and aligning features to business outcomes. During building, map data flows across the core modules to ensure a single source of truth; design a purpose-built data model that supports real-time reporting and cross-functional analytics. Within the plan, lock in API standards, minimize custom code, and plan for scalable integrations so the platform can respond to new requirements without re-architecting the core. The guide should also address vendor capabilities, data portability, and exit options to avoid lock-in while maintaining continuity for the company and its partners.

Migration should follow a phased, automated approach: start with non-critical processes to validate data quality and integration reliability, then scale to finance and supply chain workflows. Use automated test suites and parallel run pilots to detect errors early; with a deliberate, continuous improvement loop, you reduce go-live risk and shorten the time to realizing benefits. In parallel, implement robust data cleansing and deduplication, because clean data underpins accurate reporting and better decision-making for the class of users that relies on fiscal and operational insights.

Measure progress with concrete metrics: track total cost of ownership, time-to-close, and incident rate; monitor error frequency and data latency; assess user adoption and feature utilization; and quantify reductions in manual tasks. A transparent dashboard that blends financial metrics with operational indicators helps the company see value clearly and adjust strategies rapidly–therefore, governance should sit at the center of the program, not as an afterthought. By consistently aligning benefits with risk controls, organizations can build a cloud ERP that scales with business demands and sustains competitive advantage.

Vendor strategy: selecting partners and leveraging Rimini Street services

Pick a partner mix that builds a side-by-side operating model, enabling you to scale and react quickly while getting instant, measurable improvement. Choose providers who can reduce inefficiencies across the ERP stack, free staff for higher-value work, and support long-term evolution without destabilizing critical processes. Map your line of business and information flows, then align Rimini Street services as the baseline to handle maintenance, security, and escalation, shortening response times and giving you better uptime. Dont rely on one partner; picking a diverse set of specialists across your segments helps you handle complex changes and stay ready for coming changes while you work with others to drive improvement.

When evaluating candidates, use a structured approach: theyre teams should present clear cases for how they will come in without disruption, provide data that demonstrates improvement, and show how they will support later change. Theyre collaboration should be hands-on, with knowledge transfer that makes your staff more capable and less dependent on any single vendor. For Rimini Street, leverage information on service levels, audit trails, and access to instant data to drive decisions on maintenance strategy and line-by-line optimization. Add a plan for logility and supply chain data integration to reduce cycle times and improve planning accuracy, especially in complex environments where even small changes affect many processes. This addition strengthens long-term resilience and makes ERP operations less brittle.