New Way Now: Honeywell paves the way from automation to autonomy with Google Cloud
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Staying Current in AI70%
*Featured in this video:* Suresh Venkatarayalu, SVP, CTO, and President of Connected Enterprise for Honeywell
*Executive summary:* Honeywell, a leading global industrial technology company, partnered with Google Cloud to tackle some of the industry’s long-standing challenges with AI. Using Vertex AI, Google’s Gemini models, and BigQuery, Honeywell deployed purpose-built agents, grounded in decades of company expertise and knowledge, that can generate complex 100-plus-page design proposals and technical documents, shrinking project design timelines from months to weeks. In addition, Honeywell is also using Gemini to digitize 1.2 million product SKUs to power an agent that can instantly identify the impact of raw material price changes and suggest improvements or redesign ideas for its 5,000 engineers.
*Challenge:* Industrial technology companies are often slowed down by time-consuming, ad-hoc engineering processes that waste resources, limit problem-solving, and delay innovation. Honeywell was looking to drive digitization and automation to modernize project engineering while also enabling its 5,000 product engineers to adapt more efficiently to market fluctuations and unforeseen issues.
*Solution:* Partnering with Google Cloud, Honeywell used Vertex AI, Gemini, and BigQuery to create purpose-built agents that automate product design tasks and reduce project design cycles. Grounded in decades of company expertise and knowledge, including the dataset on its industrial IoT platform Honeywell Forge, these agents can already generate complex design proposals and technical specification documents — often hundreds of pages long — with high accuracy. Honeywell also launched a parallel initiative to digitize 1.2 million product SKUs with Gemini 2.5, powering a new agent that can rapidly analyze product attributes, identify which are impacted by market fluctuations like raw material price changes, and suggest alternative components, product improvements, and redesign idea
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