RFP software is a vocabulary problem
The terms vendors use — content library, AI suggestion, workflow automation — are doing too much work. Rename them and the failure modes get obvious. An opinion piece on why the category's marketing language is the bug.
This is an opinion piece. The category I work in has a vocabulary problem, and I think the vocabulary is the root cause of why the products in it disappoint their buyers so consistently.
The terms vendors use to describe what their software does are doing too much work. “Content library.” “AI suggestion.” “Workflow automation.” Each one names a category of feature in a way that makes the feature sound complete. Each one hides a failure mode that buyers only encounter after they’ve signed the order form.
If you rename the terms — replace the marketing word with the operational word — the failure modes become obvious. That’s what this post is about.
”Content library” → rotting spreadsheet
Every major vendor in this category sells a “content library.” The pitch is that you import your past proposals and DDQs, the system extracts the questions and answers, and your team has a searchable repository of approved language to draw from on the next bid.
What you actually get is a spreadsheet. A reasonably nice one, with tags and search and edit history. But its core property is the property of a spreadsheet: it gets out of date faster than anyone wants to maintain it.
The Sparrow team wrote this clearly: content-library initiatives fail because of unclear ownership and stale content. Team members respond with “outdated answers from a Google Doc that hasn’t been touched in eight months” or “a PDF written for a completely different vertical.” The library is technically present. Operationally it’s a graveyard.
Loopio reviews on Capterra make the consequence specific. Once the library falls behind, the AI suggestion feature on top of it surfaces stale or irrelevant content, and the expensive tool becomes “an overpriced document repository”. The library wasn’t the asset the buyer thought they were paying for. They were paying for a system to manufacture freshness, and that system doesn’t ship in the box.
Rename it. The thing the vendor calls a “content library” is a spreadsheet that needs an owner who is paid to keep it accurate. If the vendor doesn’t ship that owner — or a system that mechanizes the freshness work — they’re selling you the storage and asking you to do the maintenance.
”AI suggestion” → generated text without provenance
The term “AI suggestion” is the most operationally misleading phrase in the category. A suggestion is a thing a knowledgeable colleague offers. It implies a person, a context, a body of evidence behind the recommendation. When a feature in software is called an “AI suggestion,” the framing inherits all of that — without delivering any of it.
What the feature actually produces, in most products on the market today, is generated text. The text may have been retrieved from your library or it may have been hallucinated by the model. Many products do not surface, in the UI, which one happened. The user reads the suggestion, edits it, accepts it. If the suggestion contained a fabricated fact, the fabrication ships.
This isn’t speculation. G2 reviews of Responsive describe the AI feature as producing answers that “constantly misidentif[y] what I’m searching for and show[] completely unrelated results.” Capterra reviews of Loopio describe the AI as failing on nuanced content — basic questions are fine, anything specific gets re-edited heavily by the human. The reviewers are describing the same failure mode in different vocabularies: text appeared in a textarea, looked plausible, and turned out to be wrong.
Rename it. “AI suggestion” is generated text without provenance. The honest UI shows the source the text came from, inline, before the user accepts it. If the text has no source — because the model made it up — the honest UI says so explicitly, by refusing to draft.
This is what “grounded AI” is supposed to mean. In our shop we make it mean specifically that. The model is allowed to draft only from blocks the system retrieved from your KB, and every drafted sentence is tied to the block it came from. The Stanford HAI work on legal RAG hallucination established the cost of getting this wrong: even with retrieval, hallucination rates of 17 to 33% are typical when “AI suggestion” is the framing and provenance is post-hoc.
”Workflow automation” → a status field with a Jira badge
The third term that does too much work is “workflow automation.” Every category vendor markets workflow features. In practice, what most of them ship is:
- A status field on a question or section (“Draft,” “Review,” “Approved”).
- Email or Slack notifications when the status changes.
- A view that filters by assignee.
That’s not automation. That’s a status field with an integration. Real workflow automation would mean the system advances the work without a human dragging a card. The bar for that is high and most products in the category aren’t trying to clear it.
The 1up.ai team made the same observation more bluntly: RFP tools are “mostly just knowledge management” — and the workflow chrome around them is enterprise bloat that leaves users “getting lost.” Buyers are paying enterprise prices for a Trello board with proposal-shaped cards.
Rename it. Most “workflow automation” features in this category are status fields. If you want to know whether a vendor has actual automation, ask whether the system can take a discrete action — assign a question to the right SME based on history, escalate a stale section to a manager, draft a first pass without a human clicking “draft.” The number of vendors who can credibly answer yes to all three is small.
”Enterprise-grade” → quote-only
Two more, briefly.
“Enterprise-grade” in this category is a synonym for “we won’t show you the price on the website.” Every major vendor lists pricing as quote-only. A handful of competitors leak the floor — Loopio’s entry SKU has been documented at around 14K for a small team and over 20K once you cross any meaningful seat count. The quote-only posture isn’t a security feature or a reflection of complex deployments. It’s a way to price-discriminate against larger logos and to keep comparison shopping expensive.
“Integrates with your stack” usually means there’s a Salesforce connector that pulls account data, a SharePoint import, and a Slack notification. Real integration with the proposal workflow — bi-directional sync with the buyer’s portal, automated submission, post-mortem write-back to a CRM opportunity — is rare.
Why the vocabulary matters
The reason this matters isn’t pedantic. The reason it matters is that buyers can’t evaluate what they can’t name.
When the entire category names a category of feature with a flattering term, comparison becomes a question of which vendor does “AI suggestion” better — instead of a question of whether “AI suggestion” is the right thing to build at all. The vocabulary frames the conversation. The framing protects the incumbents because the incumbents are the ones who got to name the features in the first place.
Renaming the terms operationally — spreadsheet, generated text, status field — clears the framing. It lets a buyer ask: do I want the spreadsheet, or do I want a system that manufactures freshness? Do I want generated text, or do I want a system that refuses to produce a sentence it can’t source? Do I want a status field, or do I want actual workflow that advances without me dragging a card?
I think the operational vocabulary leads to a different shopping list than the marketing vocabulary does. That’s the bet our product is built around. The category’s incumbents named themselves into a position where their AI features can’t honestly answer the question “where did that sentence come from,” and we built the company around the proposition that the answer should be a clickable pointer to a specific block in the customer’s KB.
The takeaway
Watch for the phrases in the category and ask what they mean operationally. “Content library” is storage that needs an owner. “AI suggestion” is generated text that needs provenance. “Workflow automation” is a status field that needs an action layer. “Enterprise-grade” is “we’d rather not say.” “Integrates with your stack” is one or two connectors.
If a vendor’s pitch survives the rename, they’ve built something. If it doesn’t, the vocabulary is the product.