There are two documents that determine whether your firm gets invited to the table: the Statement of Qualifications (SOQ) and the RFP response. Most firms treat them as variations of the same problem. They’re not.
An RFP asks you to prove you can do the work - technical approach, methodology, cost breakdown, schedule. An RFQ asks something simpler but equally important: prove you’re qualified to be considered. The output is an SOQ, and while it’s a lighter lift than a full proposal, “lighter” is relative. For most A/E firms, assembling a compelling SOQ still means hours of searching for the right project examples, chasing down updated resumes, and tailoring boilerplate language to fit the specific agency or client asking.
Multiply that across a year’s worth of pursuits, and the cumulative cost is significant - in time, in staff capacity, and in opportunities missed because the effort wasn’t worth it.
HallianAI changes that calculus.
The Real Cost of SOQ Work
The visible cost is time. The hidden cost is what that time displaces.
SOQs are supposed to be efficient. They don’t require full technical narratives or cost proposals - just a clear, compelling demonstration of relevant experience and qualified personnel. But in practice, the bottleneck is the same as any proposal work: institutional knowledge is scattered.
The problem is that the knowledge required to build a strong SOQ is distributed across people, drives, and systems that weren’t designed to work together.
Past project write-ups live in folders no one fully navigates. Resumes are perpetually out of date. The three projects that are a perfect fit for this pursuit? Someone knows they exist, but finding the right version of the right write-up in the right format takes longer than it should.
The result is that firms either over-invest in SOQs (pulling senior staff into document assembly) or under-invest, submitting generic packages that don’t differentiate. Neither is a winning strategy.
How HallianAI Solves This Problem
HallianAI indexes your firm’s entire project portfolio, staff resumes, past SOQs, client references, awards, certifications, and brand standards into a unified, searchable AI platform. A platform hosted privately on your infrastructure.
When a new RFQ comes in, a dedicated AI Workflow goes to work:
- Reads the solicitation
- Identifies the relevant qualifications criteria
- Pulls the most applicable past project examples from your indexed portfolio
- Retrieves current staff bios for the proposed team
- Assembles a structured SOQ draft in your firm’s voice and format
Instead of generic AI output, it’s a system built on your work, your language, and your track record.
The mechanics behind this matter. HallianAI uses a proprietary retrieval-augmented generation (RAG) architecture that combines semantic search with structured metadata extraction. When the system retrieves a past project, it’s not doing a simple keyword match - it’s understanding context, relevance, and fit against the specific qualifications being evaluated. Every piece of content it surfaces is cited and traceable back to the source document.
Your team’s job shifts from assembling the SOQ to refining it. That’s a fundamentally better use of their time.
What This Looks Like in Practice
A civil engineering firm receives an RFQ from a municipal water authority seeking qualified firms for on-call infrastructure services. The pursuit coordinator opens the SOQ Workflow, uploads the RFQ, and initiates the draft. Within minutes, the system has identified the firm’s most relevant municipal water and infrastructure projects, pulled current formatted project write-ups, retrieved updated bios for the proposed project team, drafted a statement of interest in the firm’s established voice, and assembled a structured SOQ draft ready for review.
Smaller opportunities that previously weren’t worth the effort become viable. The firm can respond to more RFQs without adding headcount.
The Outcomes
A/E clients using HallianAI’s RFQ and SOQ Workflow report a 70% reduction in time-to-first-draft. Instead of a marginal efficiency gain, it’s a structural shift in how pursuit work gets done.
Why Private Infrastructure Is Non-Negotiable Here
Your project portfolio, client relationships, and staff qualifications are among the most competitively sensitive assets your firm holds. That information shouldn’t live in a shared cloud environment or train a third-party AI model.
If your firm is spending more time than it should on SOQ assembly, we’d like to show you what’s possible. Talk to a HallianAI expert
