Small and mid-size AEC firms (roughly 10-250 people) need AI that matches the right people and past projects to an RFP and helps assemble the response - without enterprise pricing, an ERP implementation, or a separate digital asset management system. Flodoc is built for exactly this; Kantiv is a strong AI-first alternative focused on pursuit analytics; OpenAsset Shred fits if you already run OpenAsset; and Flowcase fits if your bottleneck is resumes.
What small and mid-size firms actually need
- AI that reads the RFP and matches your staff and past projects to each requirement
- Grounded AI that drafts from your approved content, not generic filler
- A way to produce the finished document without a dedicated designer
- Fast setup - no enterprise ERP or CRM rollout
- Pricing that fits a firm without a large marketing team
How the AI-first options compare
| Tool | AEC-native + AI-first | Matches people & projects | Built-in design editor | Best fit |
|---|---|---|---|---|
| Flodoc | Yes | Yes | Yes | All-in-one for small-mid firms |
| Kantiv | Yes | Yes | Unclear | Pursuit / win-loss analytics |
| OpenAsset Shred | Yes | Via DAM | No | Firms already on OpenAsset |
| Flowcase | Partly | CV / project | No | Resume-heavy teams |
What "AI-first" should and should not mean
"AI-first" is on nearly every proposal tool's homepage now, so the label alone tells you very little. What matters for a small firm is what the AI is doing and what it is drawing from. There is a real difference between generic generation - a model writing plausible-sounding paragraphs from a prompt - and grounded AI, which drafts only from your approved content: your real resumes, past projects, certifications, and prior winning language.
Generic generation is fast, but for qualifications it is a liability. If a tool invents a project reference, softens a licensure detail, or overstates experience your team does not have, you are the one who signs and submits it. Grounded AI flips that risk. It cannot claim a project you never did because it only has your library to work from, and every draft traces back to a source you can check. For an SOQ or SF330 - where a fabricated reference can sink a submission - grounding is not a nice-to-have, it is the whole point.
The one question to ask every vendor
"Where does the AI get its facts?" If the answer is "a large language model," that is generic generation. If the answer is "your uploaded, approved content, matched to the RFP," that is grounded AI - and that is what you want for qualifications.
A practical evaluation rubric
Small firms rarely have time for a formal procurement process, so use a short rubric instead. Score each tool you shortlist on these dimensions, and weight them by your own bottleneck - the criteria that matter most for a resume-heavy team differ from those for a firm drowning in compliance checks.
| Criterion | What to look for | Why it matters |
|---|---|---|
| Setup time | Days, not a multi-week rollout | You need value before the next deadline, not next quarter |
| Data you must provide | Your own resumes, projects, certs - nothing else required | Avoid tools that assume you already run a DAM or ERP |
| Matching vs. drafting | Does it match people and projects to requirements, or only draft text? | Matching is the hard part; drafting alone is a thin feature |
| Grounding | Drafts from your approved content, with traceable sources | Protects you from fabricated references and overstated experience |
| Security & data handling | Clear answers on storage, access, and whether your data trains shared models | Your project history is competitive information |
| Finished output | Produces a submittable document without a dedicated designer | A great draft you still have to lay out by hand is only half a tool |
On security, ask specific questions rather than accepting a badge on the pricing page: Where is our content stored, and who can access it? Is our data used to train models shared with other customers? Can we delete everything on request? A vendor built for AEC firms should answer these plainly. Your resumes and past-project narratives are competitive intelligence, and they deserve the same care as any other firm asset.
Build vs. buy vs. staying on Word and shared drives
The honest baseline for most small firms is not a competing product - it is the status quo: Microsoft Word, a folder of past SOQs on a shared drive, and a principal who remembers where the good project sheets live. That system is free and familiar, and for a firm that submits a couple of proposals a year, it may be entirely adequate. Do not buy software to solve a problem you do not have.
Building your own tooling - templates, a project database, some scripts - is tempting for technically inclined firms, but it quietly becomes a maintenance job nobody owns, and it still will not read an RFP and match your staff to it. Buying makes sense at the point where the shared-drive approach is costing you real hours and real misses on every pursuit. The question is not "is our current process broken?" but "is it slow and error-prone enough that a tool would pay for itself?"
Signs you have outgrown spreadsheets and shared drives
- You rebuild the same resumes and project sheets from scratch for every submission
- Nobody is certain which version of a past SOQ is the current, approved one
- You miss RFP requirements because the checklist lives in one person's head
- Assembling and formatting the document eats the final day before the deadline
- You decline pursuits you could win simply because you lack the time to respond
If two or three of these ring true, the shared drive is no longer saving you money - it is costing you pursuits. That is the point where a purpose-built tool starts to earn its keep.
How to run a low-risk pilot
You do not have to commit your whole firm to find out whether a tool works. Pick one real, upcoming pursuit - ideally a solicitation you would respond to anyway - and run it through the tool end to end alongside your normal process. Upload a representative slice of your content: a handful of resumes, a few past projects, and your certifications. Then judge the result on the questions that actually matter: Did it match the right people and projects to the requirements? Was the draft grounded in your real content, or did it invent things? Could you get to a submittable document without hand-formatting the whole thing?
Time-box the pilot to a single pursuit and give it to one person who knows what a winning submission looks like. If the tool saves them hours and produces something you would actually submit, that is your signal. If it does not, you have lost a few hours, not a budget cycle. When you are ready to compare specific tools against your bottleneck, the full AEC proposal software comparison lays out the field, and you can see how grounded matching and a built-in editor work together in the Flodoc product overview.
Total cost beyond the license
The subscription price is the number on the quote; it is rarely the number you actually pay. Factor in implementation - the hours spent getting your content into the tool and structured usefully - and training, so the people writing proposals can drive it without a consultant. Tools that assume a separate DAM or ERP carry a much larger hidden cost, because you are effectively buying and maintaining that platform too. This is where AEC-native, fast-setup tools have a structural advantage for small firms: if you can upload your resumes, projects, and certifications and start matching them to solicitations the same week, your total cost of ownership stays close to the license price instead of ballooning into a re-platforming project.
One honest boundary worth setting expectations around: AI proposal tools accelerate matching, drafting, and layout, but they are copilots, not autopilots. Even a strong tool will not auto-fill the official federal SF330 PDF form fields for you, and no responsible vendor should promise to submit on your behalf. The goal is to get a qualified human to a finished, accurate document faster - not to remove the human who is accountable for it.
The verdict
For a small-to-mid AEC firm that wants matching, compliance, and design in one place, Flodoc is the most complete fit. Choose Kantiv if pursuit and win-loss analytics are your priority, OpenAsset Shred if you already live in OpenAsset's DAM, and Flowcase if resume management is the real bottleneck. Full field and enterprise options are in the best AEC proposal software comparison.