IBM ELM is preparing to launch AI agents to help engineering teams achieve greater speed, clarity and confidence.

Engineering teams are undergoing far-reaching digital transformation in complex engineering and product lifecycle management, and generative AI can help. However, in engineering domains where accuracy and compliance are non-negotiable, and results must be correct, applying generative AI cannot be done naïvely.

Even a single wayward requirement can lead to costly rework, schedule delays and low-quality outcomes that can risk product and sometimes company viability. This is especially vital for safety-critical, regulated industries such as automotive, aerospace, or medical devices, where mistakes can impact product and business success. AI applications that lack enterprise-grade rigor or skip critical safeguards can undermine the promise of speed and automation they aim to deliver.   

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