AI on Your Terms: Managed and Configurable AI

AI on Your Terms: Managed and Configurable AI in Acumatica

The ERP industry has been moving quickly on artificial intelligence (AI), and many vendors are taking a similar approach: embed a model, market the features, and lock customers into whatever that model can do.

Acumatica has taken a different approach to AI because we understand that different customers are in genuinely different places when it comes to AI readiness and how much control they want over their AI infrastructure. The result is a platform with two distinct types of AI capability: managed and configurable giving the customer the choice of when and how to use each of these approaches in a way that works best for them.

Managed AI: Ready When You Are

Some AI features in Acumatica are fully managed such as model selection, maintenance, and regular updates which are handled entirely by our team. You activate the feature, and it starts streamlining your operations.

Our AI Assistant is the most direct example of this capability. Customers can ask questions in natural language, get answers drawn directly from their unified data, and trigger immediate actions. Model configuration, API key management, and inference costs are handled entirely by Acumatica. The system runs on a model specifically tuned for the unique context of a modern ERP solution.

Anomaly Detection in AI Studio follows the same pattern. The machine learning model is built directly into the platform. You configure the Generic Inquiries you want to monitor, set your custom thresholds, and the system automatically surfaces anomalies in your operational data. This helps ensure compliance and financial accuracy without requiring manual oversight. Model selection and optimization happen entirely on our side.

For organizations that want AI value quickly, with minimal setup and no infrastructure decisions, managed features are the right starting point. Inference runs through Acumatica’s cloud accounts; your data is processed there and never stored. Getting started is fast, and the model complexity stays off your plate.

Configurable AI: Control When You Need It

For small-to-mid-size companies with more specific requirements or stringent compliance regulations, AI Automation in AI Studio gives you direct control. This is what bring-your-own-model looks like in practice.

The automation logic, including the specific prompts and the output mapping, lives securely within your Acumatica ERP solution. The model that executes those prompts is entirely up to you. This is what makes the system genuinely configurable and highly scalable.

Organizations with existing enterprise AI agreements with Azure OpenAI, AWS Bedrock, or direct model providers can route their AI Automation through those agreements. That means you work within contracts your legal and procurement teams have already reviewed, at rates you have already negotiated. This approach maximizes cost efficiency while supporting your business operations.

The AI model landscape is moving faster than any ERP release cycle. A model that represents the best available option today might be surpassed in just six months. Configurable inference means organizations can move to better models as they emerge—on their own timeline and at their own pace—as the gap between leading and lagging models continues to widen.

Organizations that want to match the model to a specific task can do so easily. A document-understanding model may perform quite differently on receipt recognition than the model best suited for complex financial exception analysis. Configurable inference makes that kind of task-level optimization both practical and highly cost effective.

Why Having Both Approaches Matters

Most embedded AI platforms push customers toward one extreme: either fully managed, where you take what the vendor provides, or fully custom, where you build everything yourself. Acumatica’s approach creates a smarter middle path for your ERP solution.

Managed features like our AI Assistant and Anomaly Detection lets your team move quickly and capture real value. We handle the model infrastructure. Meanwhile, configurable features like AI Automation give organizations with existing model investments a direct path to bring that context into their daily operations.

These capabilities work together seamlessly within a single implementation. A customer using AI Assistant for day-to-day queries and AI Automation for a specialized workflow is using both approaches for what each does best.

Choosing What Fits Your Organization

If your goal is to get AI working in your ERP quickly, managed features are a natural starting point. AI Assistant and Anomaly Detection are designed to deliver value from day one, handling model complexity on your behalf.

If you have existing enterprise AI agreements to leverage, or specific model preferences for particular use cases, AI Automation gives you the control to put them to work.

For many organizations, the answer will include a mix of both approaches over time. Starting with managed features is a highly reasonable entry point. The option to move toward configurable AI is always available when your business expands and your operational requirements evolve.

The strongest AI platform is one that fits where you are today and scales effortlessly with what you need next. At Acumatica, that means building both managed and configurable capabilities into the same ERP solution. We are committed to helping you transform and thrive, ensuring every organization can start innovating from wherever they currently stand.

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Discover how the AI-enabled capabilities in Acumatica can empower your team and streamline your operations. Watch our on-demand Acumatica AI webinar and reach out to our community of experts today to see how our adaptable ERP solutions can support your unique journey.