Dive Brief:
- Euna Solutions launched a Solicitation Advisor feature within its Euna Procurement platform that uses artificial intelligence to review drafts of requests for proposals and recommend improvements before the RFPs are published.
- The feature, unveiled April 29, is designed to flag ambiguity within public sector solicitations, along with conflicting criteria and “mismatches” between a local government’s evaluation criteria and the information it seeks from suppliers, according to the company.
- “Every addendum adds time and administrative burden to the sourcing process,” Euna Solutions Chief Product Officer Mykola Konrad said in a news release. “When teams catch issues at the draft stage instead of after publication, they have a better chance to reduce delays, improve supplier understanding, and run a more competitive [solicitation] event.”
Dive Insight:
As AI proliferates, more local governments are incorporating it into their operations, with one Gallup poll finding that 21% of public sector employees use AI multiple times a week.
The primary goal of AI use for local government workers is increasing efficiency, a Euna Solutions survey found earlier this year. Improving procurement time and efficiency has been an area of focus for some cities, with Dallas shepherding AI into its procurement process last year.
The average RFP project takes nearly 90 hours, according to Euna Solutions, citing 2024 National Cooperative Procurement Partners data. Despite the time spent, 62% of public agencies see only two to five bids on RFPs on average, according to the company’s 2025 State of Public Procurement report.
The Solicitation Advisor represents a departure from the company’s prior efforts using AI to generate the RFP drafts faster, according to Konrad.
The company sees “additional value for AI as helping procurement teams improve solicitation quality before release by bringing intelligent review, guidance, and category-aware insight into their workflow,” Konrad stated.
