# Quebec Public Sector: Why AI Projects are Being Scrapped

> Source: <https://promptcube3.com/en/news/3926/>
> Published: 2026-07-27 01:03:50+00:00

# Quebec Public Sector: Why AI Projects are Being Scrapped

Government-led AI initiatives in Quebec are hitting a wall, with several automation projects being scrapped across the public sector. It's a stark reminder that throwing LLMs at a bureaucratic problem doesn't automatically equal efficiency.

For those of us building in the private sector, this is a lesson in starting small. Instead of massive, sweeping automation overhauls, the move should be toward modular, beginner-friendly tools that solve one specific friction point at a time.

When you look at why these deployments fail, it usually comes down to a few recurring technical and operational bottlenecks:

**Data Silos:** Public sector data is notoriously fragmented. Trying to build an AI workflow on top of legacy databases that don't talk to each other is a nightmare.**Integration Friction:** Moving from a "cool demo" to a real-world production environment in government often fails because the existing infrastructure can't handle the API overhead or the security requirements.**Lack of Specialized Talent:** Without deep expertise in prompt engineering or LLM agent orchestration, these projects often drift into "feature creep" without ever delivering a tangible ROI.

For those of us building in the private sector, this is a lesson in starting small. Instead of massive, sweeping automation overhauls, the move should be toward modular, beginner-friendly tools that solve one specific friction point at a time.

If you're designing an AI workflow for a large organization, focus on the data pipeline first. If the data is messy, the most expensive model in the world won't save the project.

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## All Replies （3）

G

Probably missing the legacy data silos. Hard to automate when the source data is a mess.

0

L

did they even try RAG or just straight fine-tuning? usually where it falls apart.

0

C

Seen this before with old government databases; you can't automate a broken manual process.

0