Most AI projects do not fail because the model is weak. They fail on adoption and integration. MIT’s State of AI in Business 2025 found that around 95 per cent of enterprise generative AI pilots delivered no measurable impact on the bottom line, and that the cause was the learning gap between tools and real workflows, not the technology itself.
The post-deployment value gap
The hard part is the distance between a demo that works and a system in daily use against your legacy data, your access rules and your compliance obligations. That is where projects stall, and it is exactly the gap forward deployed engineering is built to close.
Why partnering beats going it alone
The same MIT research found that buying from specialists and partnering succeeded far more often than internal builds, because partners bring domain fluency and accountability. The market has noticed: AWS has invested heavily in embedding engineers alongside customers.
What to do instead
Start by fixing the outcome, usually through a technology review, then embed a senior lead to deliver it with governance. Our forward deployed engineering service is designed for exactly this.
Frequently asked questions
Why do most AI projects fail?
Most AI projects fail on adoption and integration, not on the model. Research from MIT found that around 95 per cent of enterprise generative AI pilots delivered no measurable financial impact, largely because tools were not embedded into real workflows.
What is the post-deployment value gap?
It is the gap between a working prototype and a system in daily use that delivers a business result. Most projects stall in that gap because nobody owns the integration, governance and adoption.
Does partnering work better than building AI in-house?
MIT’s research found that buying from specialists and partnering succeeded far more often than internal builds. Embedded, senior-led delivery brings that domain fluency and accountability.
How does forward deployed engineering help?
It puts a senior lead and the right engineers inside your business to take AI from pilot to production, with governance, so the work reaches live use and is measured by the outcome.
Ready to move from plan to production? Our forward deployed engineering service embeds a senior lead to deliver it with you. Book a 30-minute scoping call for an honest read on what you need.