Euna Solutions launched Solicitation Advisor, an AI capability in Euna Procurement that reviews draft RFPs before publication, flagging ambiguity and mismatches to help agencies avoid delays and confusion.
Public procurement teams often spend days shaping RFPs, only to discover after publication that requirements weren’t clear enough for suppliers.
That pain point is exactly what Euna Solutions is aiming to address with its newly launched capability, Solicitation Advisor, powered by Euna AI, built into Euna Procurement.. The tool adds a pre-publication review layer designed to help public sector agencies strengthen solicitations before they reach the market—without taking control away from the procurement team.
At a high level, the capability focuses on a moment that procurement workflows can treat as “done” too early: the final check of draft requests for proposals (RFPs).. Euna says the review is embedded directly into the workflow, analyzing the draft solicitation and surfacing recommendations meant to reduce ambiguity, ensure required category specifications are present, and help suppliers respond in the way the agency intends.. The emphasis here isn’t on writing from scratch.. It’s on reviewing what teams have already prepared.
Why this matters is straightforward.. Even when agencies put significant effort into RFPs, the details can sprawl across many categories, and not every team can be deeply expert in every subject area covered by a solicitation.. The result can be requirements that are technically present but still confusing in practice—leading to fewer bids, more back-and-forth clarifications, and eventual corrections once the procurement is already underway.. For procurement staff, those “fixes later” cycles add cost and time at the worst possible point.
An AI check that targets common RFP friction
Solicitation Advisor is designed to flag issues such as vague instructions, category-specific requirements that may be missing or incomplete, conflicting criteria, and mismatches between evaluation criteria and what suppliers are asked to provide.. Euna says the recommendations appear within the workflow, tied to the relevant section of the solicitation, and include a clear next step.
Equally important for agencies is control.. The tool is positioned as an assistant rather than an automated decision-maker—public procurement teams can review the guidance and decide what to edit, if anything, before publishing.. That matters because public procurement requires careful documentation and accountability, and teams generally want AI help that supports their process rather than replaces it.
A common procurement reality is that RFP quality affects every downstream step: supplier understanding, bid preparation effort, and the comparability of submissions.. When requirements are unclear, suppliers may hesitate to participate or may interpret terms differently, which can narrow the field of bidders even if the opportunity is otherwise attractive.
Shifting AI from drafting to “review before release”
Euna’s messaging frames the launch as part of a broader shift in how AI can support public procurement.. Instead of focusing only on faster drafting, the company points to value in intelligent review—category-aware insight that helps teams catch problems before the market sees the document.. The underlying idea is that the cost of errors isn’t limited to time spent fixing language; it can show up as delays, administrative burden, and avoidable addenda after publication.
This is also where the human perspective comes in.. Procurement leaders and staff are juggling deadlines, policy requirements, and the expectation that solicitations will withstand scrutiny.. An AI pre-publication review can feel like an extra set of eyes—particularly for teams that have to cover broad categories without deep subject-matter expertise in each one.. If the tool reduces rework, it can free staff to focus on higher-level planning and supplier engagement rather than chasing corrections.
The company also connects the launch to a wider workflow inside Euna Procurement.. It’s paired with Euna’s solicitation-building approach, described as using modular building blocks to help structure solicitations.. After publication, Euna says agencies can distribute solicitations through a supplier network spanning more than 1.25 million suppliers across North America.. It also mentions AI-powered solicitation summaries for suppliers, aiming to help vendors assess opportunities more quickly—another link in the chain between solicitation clarity and supplier participation.
What agencies may look for next
For public agencies considering tools like Solicitation Advisor, the key question won’t just be whether the AI flags “errors,” but whether those flags translate into better outcomes: clearer requirements, fewer addenda, and stronger bid participation.. If the guidance is well-targeted, it can reduce the common scenario where clarifications arrive only after suppliers have already started preparing their responses.
There’s also an operational implication.. Procurement teams already spend substantial time drafting requirements and defining specifications, and any reduction in post-publication corrections could make procurement events more predictable.. That predictability is valuable in the public sector, where timelines often ripple across budgets, program delivery, and stakeholder expectations.
Euna says Solicitation Advisor is available now within Euna Procurement.. For agencies and vendors watching procurement technology, the launch adds a notable data point in the evolution of AI use: moving from drafting assistance toward quality control—helping public teams strengthen solicitations before publication, rather than correcting course after suppliers have the document in hand.
Misryoum will continue tracking how AI tools are reshaping procurement workflows and the practical effects on bid participation and contract timelines.