{"id":960,"date":"2026-08-19T07:06:48","date_gmt":"2026-08-19T07:06:48","guid":{"rendered":"https:\/\/www.webkorps.com\/blog\/?p=960"},"modified":"2026-08-19T07:06:48","modified_gmt":"2026-08-19T07:06:48","slug":"what-to-look-for-in-ai-ml-development-partner","status":"publish","type":"post","link":"https:\/\/www.webkorps.com\/blog\/what-to-look-for-in-ai-ml-development-partner\/","title":{"rendered":"What to Look for in an AI\/ML Development Partner"},"content":{"rendered":"

Every AI\/ML vendor has a polished demo. Impressive outputs, clean interfaces, confident engineers who speak fluently about transformers, fine-tuning, and retrieval-augmented generation. Demos have never been easier to produce, or more misleading.<\/span><\/p>\n

Here’s what the data says about what happens after the demo. According to S&P Global Market Intelligence’s<\/a> 2025 survey of over 1,000 enterprises, 42% of companies abandoned most of their AI initiatives, up sharply from 17% the previous year. RAND Corporation<\/a> found that over 80% of AI projects fail to deliver intended value, twice the failure rate of non-AI technology projects. MIT’s NANDA Initiative found that only 5% of AI pilot programmes achieve rapid revenue acceleration.<\/span><\/p>\n

None of those failures happened during the demo.<\/span><\/p>\n

Selecting an AI\/ML development partner in 2026 is a due diligence exercise, not a capabilities showcase. Here’s what that evaluation actually looks like, and what most organisations miss until it’s expensive.<\/span><\/p>\n

Seen enough impressive demos that went nowhere?\u00a0<\/i><\/b><\/p>\n

Webkorps shows you the production dashboard, the compliance track record, and the post-deployment team, before you sign anything.<\/i><\/b> Book a Discovery Call<\/i><\/b><\/a><\/p>\n

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