5 AI-Native ERPs Reimagining Enterprise Software

As automation becomes the default expectation in enterprise software, the definition of ERP itself is changing. This article cuts through the noise.

In the world of ERP systems, there’s no one-size-fits-all. Despite their importance, legacy ERPs were built for a world of manual workflows and human data entry. As AI adoption accelerates, leaders are increasingly questioning whether incremental automation inside old systems is enough.

What is the Future of ERP Software?

ERP systems have traditionally been about recording and controlling transactions. AI is turning them into learning and predictive systems. The next generation of ERP software isn’t just embedding AI features, it’s being rebuilt entirely around automation. They are AI-native, meaning machine learning models and agents sit at the core of how they operate: orchestrating workflows and mapping data for sustained performance.

Emerging AI-Driven Evolution

Generative AI Co-Pilots: Context-aware assistants that understand ERP data, create reports, generate business insights, or even write low-code scripts. Thai democratises ERP and business users can interact in natural language.

AI Orchestrated Workflows: Agents watch process performance, identify bottlenecks, and reconfigure workflows automatically. This reduces the need for manual process re-engineering.

Predictive & Prescriptive Intelligence: Instead of just predicting outcomes (“inventory shortage next week”), AI suggests actions (“reroute supplier B”). AI becomes the true decision maker.

Embedded LLMs Fine-Tuned on Business Data Through RAG (Retrieval Augmented Generation): Companies deploy private, fine-tuned models that understand their domain, terminology, and history. Protects data privacy while enabling deep context awareness.

Adaptive UI / Personalisation: The system learns each user’s behaviour and surfaces relevant metrics or shortcuts automatically, boosting productivity and reducing the training curve.

What is the Best AI ERP?

There is no single "best" AI ERP, as the ideal choice depends on a company's specific needs. However, some emerging contenders leading this AI-paradigm shift, building ERPs designed for a world where AI runs the back office as much as people do, are listed below. 

1. Doss
Funding:
$18 million Series A (Theory Ventures, Apr 2025)

Category: Full-stack AI-native ERP
Doss’s Adaptive Resource Platform (ARP) uses AI agents to dynamically configure workflows, build integrations, and optimise processes across finance, inventory, and supply chain modules—without heavy manual setup. Its composable, modular architecture allows rapid deployments measured in days, not months.

Why it stands out: Doss focuses on operational agility, making ERP configuration as adaptive as the businesses it supports.

2. Rillet
Funding:
$70 million Series B (A16Z + ICONIQ, Aug 2025)

Category: AI-powered financial ERP Rillet builds an AI-native general ledger and finance stack designed for speed and accuracy. Its system automates journal entries, reconciliations, and consolidations using contextual AI models. Teams can close books in days, not weeks, with a unified, real-time financial model.

Why it stands out: Deep finance domain design, built by accountants, not engineers, makes Rillet a credible alternative to NetSuite or Workday for mid-market enterprises.

3. DualEntry
Funding:
$90 million Series A (Valued at $415 million, Oct 2025)

Category: AI-native finance & operations platform
DualEntry embeds AI across every financial workflow, from reconciliations and variance analysis to inter-company eliminations. Its NextDay Migration tool can map and port historical data from legacy systems within 24 hours.

Why it stands out: Automates over 90% of manual finance tasks, targeting companies that have outgrown QuickBooks but aren’t ready for full-scale ERP.

4. Campfire AI
Funding:
$3.5 million Seed (Jun 2025)

Category: Modern accounting platform
Campfire AI is a lightweight, AI-enabled accounting platform built for high-growth startups. Its models detect anomalies, generate journal entries, and forecast cash flows in real time, offering ERP-level insight without ERP-level complexity.

Why it stands out: A lean, modern approach for scaling startups that have outgrown spreadsheets but don’t need a full enterprise ERP.

5. Opkey
Funding:
$47 million Series B (Aug 2024)

Category: AI-based ERP testing & assurance platform. Opkey automates ERP testing, validation, and impact analysis using generative AI. It creates and maintains test scripts, heals broken workflows, and identifies ripple effects across Oracle, SAP, and Workday environments.

Why it stands out: A specialised AI layer that makes ERP change management safer, faster, and far less dependent on manual QA.

Final Thoughts

As automation becomes the default expectation in enterprise software, the definition of ERP itself is changing. These AI-native platforms mark a shift toward systems that are self-adapting, self-maintaining, and continuously optimised. Implementation cycles are compressing, and finance and operations are evolving from manual data entry to intelligent orchestration. These platforms don’t just modernise ERP, they redefine it for the AI era. 

Start building today

Ready to start integrating?

Google Ads
Batch
Dropbox
Airtable
Asana
Calendly
Filter