Competing for public contracts in Colombia takes discipline. Tenders are published on SECOP, the Electronic Public Procurement System run by Colombia Compra Eficiente, the national procurement agency. On SECOP II, much of the cycle happens online, from questions and comments to bids, evaluation, and award. For a company that sells to the government, that means new opportunities appear every week, and each one comes with lengthy documents that someone has to read.
Artificial intelligence helps a great deal here, but it does not replace preparation. A tool that finds tenders in seconds is only useful if your company knows what to look for, can prove it meets the requirements, and chooses carefully which tenders to pursue. This guide covers how to get your house in order before relying on AI.
1. Organize your qualification records
Most tender terms check eligibility requirements: legal capacity, experience, financial capacity, and organizational capacity. Much of this is evidenced through the Registro Único de Proponentes (RUP), the bidder registry maintained by Colombia's chambers of commerce. Before thinking about algorithms, make sure you have:
- a current RUP, renewed on time, with your experience contracts properly registered;
- the United Nations Standard Products and Services Code (UNSPSC) entries that genuinely match what you sell;
- financial and organizational ratios calculated from your most recent financial statements;
- a repository of experience certificates, résumés for key staff, and up-to-date corporate documents.
Once that foundation is digitized and organized, an AI system can compare what each tender requires against what your company can document, and flag the gaps before you invest time in a bid.
2. Put public data to work
Public procurement data in Colombia is open. Beyond searching SECOP itself, Colombia Compra Eficiente publishes datasets on the government's open data portal, datos.gov.co. That data can answer questions that used to take weeks of manual review: which agencies buy what you offer, how often, for what amounts, under which procurement method, and who wins those contracts.
AI adds value on two fronts. The first is search: a semantic search engine finds relevant tenders even when the contract description uses different wording from what you would use. The second is analysis: models that group similar tenders, identify recurring competitors, and reveal trends by agency or region.
3. Define your opportunity profile
Not every tender you could win is one you should want. Write down an explicit profile: the types of contracts where you have an edge, the budget ranges your operation can handle, the regions where you can deliver, and the kinds of agencies you have already worked with. That profile is what allows an AI tool to score how well each tender fits your company, rather than simply matching keywords.
Revisit the profile every quarter against actual outcomes: where you bid, where you won, where you were disqualified, and why.
4. Read tender documents with help, but make the call yourself
Language models are especially useful for reading long documents. They can pull out eligibility requirements, evaluation criteria, timelines, required guarantees, and grounds for rejection, and present them as a checklist. They can also highlight differences between the draft and final tender terms, or between addenda.
Even so, the decision to bid and the content of the proposal should go through human review with legal and technical judgment, because a misread requirement can get you disqualified. The right way to use AI is as an analyst who lays the groundwork and cites the source for every finding, so your team can verify it quickly.
5. Know your competition
Award history shows who wins contracts similar to yours, how often, and with which agencies. That analysis helps you decide where to compete, when it makes sense to form a consortium or joint venture, and which tenders give your proposal a realistic chance.
6. Protect the information you handle
Bids include personal data about the proposed team, such as résumés, degrees, and certifications. In Colombia, processing that data falls under Law 1581 of 2012, so define who can access it, for what purpose, and where it is stored, including when an AI tool processes it.
A sample weekly routine
- Monday: review new opportunities that the tool scored above your threshold.
- Tuesday and Wednesday: read shortlisted tender documents with AI assistance and decide whether to bid or pass.
- Thursday: prepare questions, comments, and documents for the selected tenders.
- Friday: log outcomes and fine-tune your opportunity profile.
AI turns tender searching from a volume task into a judgment task. The judgment still belongs to your company; the technology simply gives you more time to exercise it.
At Carp Industries, we built Yiki AI to support this routine, with search across SECOP I, SECOP II, and private contracts, a specialized chat for specific contracts, and competitive analysis. Still, any tool delivers more when your company's information is in order.
