Hit songs give us lots of adjacent messages. The Rolling Stones said, “You can’t always get what you want.” Biz Markie said, “You’ve got what I need.” When your organization has specific technology goals, how can you be sure that your wants and needs are actually met?
At the 2026 Medicaid Enterprise Systems Conference in Portland, Oregon, making procurement processes easier was a common refrain.
For procurement leaders, that means assessing RFP responses quickly and being able to compare offerings head-to-head. AI can accelerate analysis and decisions as long as data quality, governance, and clear criteria are in place.
Procurement professionals spend their time best evaluating risk, exercising judgment, and guiding strategic outcomes.
Large solicitation packages can stretch hundreds of pages. Clarification cycles generate multiple document versions. Review windows are often compressed. And because procurement decisions must stand up to audits and protests, every conclusion needs to be traceable.
Sing a Simpler Song
What is routine for reviewers can be handled by computers. This includes elements like:
- Logging vendor submissions and ensuring mandatory requirements are met
- Comparing revised submissions after clarification
- Documenting findings for compliance and audit purposes
None of these activities are inherently difficult for an experienced procurement professional. What’s challenging is the scale, and the influx of submissions keeps growing as vendors use AI to generate and submit more RFP responses. For one notable example of an important and risk-averse sector using AI when seeking government contracts, the American Bar Association says that law firms that combine extracted RFP requirements with a firm’s historical data can use AI to generate a first draft in minutes that is 70-80% complete.
The real promise of procurement AI starts with understanding requirements from the professionals themselves. Purpose-built AI tools working in tandem with experts give them rock-solid information to exercise their human judgment.
Successful procurement AI solutions should be built around four principles:
- Clear role boundaries so AI supports judgment rather than replacing it.
- Procurement-specific language and rules that reflect real workflows.
- Audit-ready outputs that reviewers can verify and trust.
- Co-creation with users rather than technology being imposed from above.
Is your procurement team ready to sing in harmony with AI?
