How to Avoid AI Becoming an Expensive Gimmick in Business Central
✍️ Introduction
Artificial Intelligence (AI) is becoming a hot topic in Business Central environments, promising automation and insights like never before. However, if implemented carelessly, AI can turn into an expensive gimmick that drains budgets without delivering proportional business value. This blog explores how to wisely integrate AI into your processes, avoiding unnecessary costs, unpredictable behavior, and technical complexity.
⚠️ The problem: AI may not always be the answer
AI implementations within Business Central often come with costs that vary based on usage—typically charged per token, transaction, or API call. This means each action powered by AI can add incremental expenses that quickly accumulate.
In contrast, traditional system logic embedded natively in Business Central requires development effort upfront but does not generate additional costs per processed transaction after deployment. This makes standard business logic far more cost-effective and reliable for routine operations.
- AI incurs ongoing cost per usage, increasing operational expenses;
- Standard business logic operates within the existing system without extra transaction fees;
- AI models function as black boxes, limiting explainability and predictability;
- AI outputs can vary between runs, risking inconsistent process outcomes.
⚠️ The challenge: unpredictability and black-box behavior
Unlike deterministic code, AI models are inherently probabilistic. They may interpret the same input nuances differently at different times, leading to inconsistent decisions or classifications. This unpredictability complicates error tracing and auditing for critical business processes.
From a security and compliance standpoint, this black-box nature makes it difficult to fully control and verify AI-driven outcomes—an issue especially relevant in regulated industries and financial applications like those often managed in Business Central.
🛠️ The solution: targeted AI applications within Business Central
AI excels when applied to specific complex tasks where traditional logic struggles. To maximize ROI and reliability, focus on AI-powered features that genuinely differentiate your Business Central processes:
- Text recognition: Automating invoice scanning or document data extraction;
- Classification: Categorizing emails, support tickets, or transactions based on content;
- Summarizing: Generating concise overviews from large data volumes or communications;
- Pattern analysis: Detecting anomalies or trends in transactional data for fraud detection or operational insights;
- Decision support: Offering deeper analytical recommendations that go beyond predefined business rules.
By restricting AI use to these high-impact areas, you keep your core business processes stable, predictable, and cost-efficient, while benefiting from AI’s unique strengths where they truly matter.
📦 What are the benefits?
- Cost control through selective AI deployment;
- Improved process reliability by relying on proven standard logic for routine automation;
- Enhanced business insights and workflow efficiency where AI’s pattern recognition and natural language processing excel;
- Increased transparency and auditability by limiting black-box AI to well-defined subprocesses;
- Reduced risk of unexpected behavior impacting critical operations.
Using AI wisely is key to turning it into a strategic asset rather than an expensive experiment.
✅ Conclusion
AI integration in Business Central offers promising opportunities but should never replace robust system logic for standard transactional tasks. Being aware of per-use costs, the black-box nature of AI, and its inherent variability will help you avoid costly, unreliable gimmicks.
Targeting AI applications where they deliver unique value—such as text recognition, classification, and pattern-based decision support—enables you to harness AI’s power effectively while maintaining control, predictability, and cost efficiency in your business processes.