The AI in procurement conversation has gotten loud. Vendors are alluding that AI in procurement will write your RFPs, score your bids, negotiate your contracts, and predict your spend. State AI policies are being published faster than most procurement teams can keep up with. And chief procurement officers are being asked to have an opinion on generative AI before many have had time to actually test AI in procurement tools.
Amid all of this, it’s worth asking a simple question: what do you actually need AI to do in your sourcing process?
What Most AI in Procurement Does
Most AI features in procurement software today fall into one of two categories: drafting assistance, where AI generates content for you, or analytics, where AI surfaces patterns in your data.
Drafting assistance is getting the most attention. The pitch is intuitive. Procurement professionals spend enormous time writing solicitations, so what if AI could write them faster? The demo usually looks impressive too. Paste in a project description, get back a structured RFP in seconds.
AI-generated content in a procurement context needs to reflect specific local requirements, jurisdiction-specific regulations, agency preferences, and market conditions that a general-purpose language model doesn’t reliably know. That means every AI-generated solicitation needs careful human review before it can be used. The time savings are smaller than advertised, and the review burden is real for procurement teams.
A Different Kind of AI in Procurement
There’s another approach to AI in solicitation management that gets less attention but is arguably more useful: using AI to review rather than draft.
In this model, your procurement team writes the solicitation using their expertise and institutional knowledge. The AI then reviews the draft and flags potential problems: flagging category specifications, unclear requirements, evaluation criteria that don’t match what you’re asking suppliers to submit, or language that’s likely to generate clarification questions. The team reviews the flags and decides what to act on.
This is a lower-risk use of AI for a few reasons. It doesn’t create the risk of false information because the solicitation was written by your team. It doesn’t require extensive review of AI-generated content because the AI isn’t generating anything. And it tends to be faster in practice, because catching a problem before publication takes minutes, while catching it after via addendum takes days.
The distinction is worth sitting with. AI drafting adds a review step. AI review removes one.
Practical Considerations When Choosing AI in Procurement Tools
When evaluating AI features in procurement tools, it’s worth asking what the AI is actually doing. Is it generating content your team then has to validate, or is it reviewing content your team has already validated? Those are meaningfully different things in procurement workflows.
A few other questions worth thinking through:
- Where in the workflow does the AI save time, and what risks does it introduce at that point?
- Is the AI advisory only, meaning the human makes every decision, or does it take autonomous action? Advisory-only AI tends to be easier to defend in audits and protests.
- Does the AI understand procurement categories specifically, or just grammar and document structure? Category-specific knowledge is what makes review genuinely useful rather than just surface-level.
Before enabling any AI feature, it’s also worth confirming who controls what the AI sees, what it outputs, and whether any outputs are made public automatically.
Key Takeaways
Drafting vs. Reviewing: Drafting AI creates new content, while reviewing AI checks existing documents for issues.
Accuracy Matters: AI-generated content must be reviewed for local requirements and compliance.
Accountability: Human oversight is essential to maintain clear responsibility in procurement processes.
Category-Specific Knowledge: AI tools that understand procurement categories provide greater value than general language models.
Workflow Integration: Consider where AI saves time and how it fits into your team’s existing processes.
Conclusion
Organizations seeking to leverage AI in procurement should focus on tools that enhance human expertise, especially those that support review and compliance, to achieve reliable and efficient sourcing outcomes.
To learn more about Euna Procurement’s AI capabilities, book a demo with one of our team members today.
FAQ
What is the main difference between drafting and reviewing AI in procurement?
Drafting AI generates new procurement documents, while reviewing AI analyzes existing drafts for errors or lack of clarity. Reviewing AI typically reduces compliance risks and review burdens for procurement teams.
Where can I find procurement tools that use AI for review?
There are only some procurement software vendors that offer AI-powered review features. Look for solutions that highlight category specification checks within their product descriptions.
How do I enable AI features in my procurement process?
To implement AI in procurement, consult your software provider for activation steps and access controls. Ensure you understand what data the AI can access and how outputs are reviewed before use.
How do I compare AI in procurement tools for my agency?
Evaluate AI in procurement solutions by comparing their capabilities for drafting, reviewing, compliance support, and category-specific knowledge. Prioritize tools that align with your agency’s workflow and risk management priorities.
