Why AI Makes Data Quality Matter More, Not Less
- Ian Makgill
- Business
- 16 Feb, 2026
- 02 Mins read
AI has made it remarkably easy to build procurement search tools. With the right prompt and a few open data sources, anyone can put together a working tool in a matter of hours. If you need to monitor a handful of sources in a single market, this is a perfectly good approach and well worth doing.
But there is a difference between gathering data and curating it, and that difference matters more as AI makes data the foundation for better decision-making.
Gathering vs curating
Gathering procurement data means pulling notices from sources and making them searchable. Curation is everything that happens after that.
It is knowing that CPV codes are applied inconsistently across EU member states, so a single classification search will miss relevant opportunities. It is understanding that contract values in one jurisdiction include VAT while equivalent figures elsewhere do not. It is tracking when a publishing source changes its format and adapting before records start falling through gaps. It is deduplicating notices that appear across multiple portals in different languages with different reference numbers.
This is not glamorous work. It is the accumulation of thousands of small decisions made over years of processing real documents from real sources around the world.
Why this matters now
AI is transforming what you can do with procurement data. With properly curated data, AI can match your capabilities to opportunities you would never have found through keyword search. It can surface patterns in contract awards that reveal where spending is heading and who is winning. It can turn millions of documents into genuine market intelligence.
The quality of those insights depends entirely on the quality of what goes in. The better the data, the more AI can do with it.
Choosing the right approach
If you sell to government in a single market and need to track a limited number of sources, building your own tools with AI is a good idea.
If you need confidence that your data is properly curated across hundreds of sources and multiple jurisdictions, deduplicated, normalised, with amendments and cancellations tracked reliably, then it is worth choosing tools purpose-built for that job.
Either way, the role of data quality has not changed. If anything, AI has made it the single most important factor in finding and winning government contracts.
