How to Respond to RFIs and Security Questionnaires Without Starting From Scratch
This post covers a faster way to do that: attach the questionnaire, point at a curated set of approved content, and get back a complete set of drafted answers with every one cited to the source document it came from.
The short answer
You can respond to an RFI or security questionnaire in VisibleThread by attaching the source document, grounding the request in a Collection of your approved past responses, and letting AI draft answers against that content. Each answer is cited back to the specific document it drew from, so you validate rather than trust. Work that typically takes days takes closer to ten minutes, and the output starts from content your organisation has already approved.
What is an RFI, and why does it eat so much time?
A request for information is a pre-solicitation document. The buyer is not asking for a priced proposal yet. They are asking what you can do, how you do it, and whether you meet their compliance bar. Security questionnaires work the same way, often as part of vendor onboarding or a framework assessment.
They are deceptively expensive for three reasons.
They arrive without warning and with a short turnaround. They ask the same underlying questions as the last one but phrased differently, so you cannot simply paste. And the answers usually live in the heads or hard drives of people who are busy on something else.
So the response gets assembled the way it always gets assembled. Open the questionnaire. Open your last three good responses. Start copying.
Why answer libraries do not solve this
The traditional fix is a question and answer library: a maintained bank of approved question and answer pairs that you search when a new questionnaire lands. An entire category of software was built on this idea.
The problem is maintenance. A question and answer library is only as good as the last time somebody updated it, and updating it is nobody’s actual job. Your product changed. Your certifications changed. Your accreditation renewed. The library did not. And because the questions in the library are phrased the way you phrased them, they rarely map cleanly to the way a new buyer asks.
You end up maintaining a second copy of your own content, which drifts from the first copy, and you still rewrite the answer.
There is a better unit of content than the question and answer pair: the approved document itself.
Collections: the approved content, kept live
A Collection is a curated set of your best documents, pulled together for a specific purpose, that you point AI at directly.
The distinction matters. Pointing AI at an entire SharePoint site is the common mistake, because to the model every word weighs the same. Your approved security response from last month and the out of date brochure from four years ago are treated as equally true, and you will not always know which one you got.
A Collection narrows the field deliberately. For questionnaire work, that might be a Collection called Security Questionnaires holding your strongest completed responses, your current certifications, and your approved policy summaries. Because it connects live to SharePoint, you are drafting from the current version of those documents, not a copy of them.
You are not fixing your whole data estate. You are curating the twenty documents that actually answer this class of question.
The workflow, step by step
1. Attach the questionnaire
The RFI or questionnaire as it arrived, in whatever shape the buyer sent it. Thirty questions, forty, a hundred. It does not need reformatting first.
2. Point at the Collection
Select the Collection holding your approved responses. Signing in to SharePoint at this point pulls the latest version of every document in it, so a policy updated yesterday is reflected in today’s answers.
3. Use a saved prompt
The instruction is straightforward: take the requirements in the attached document, cross reference them against the Collection, and write answers to the questions. Save that as a shortcut prompt and the whole team runs the same instruction the same way every time, rather than each person improvising their own.
“Having a built-in prompt library right in the tool, rather than a running Word doc of prompts sitting on my desktop, is genuinely useful for a team.”
Marieke Bland, Director of Proposals, KMS Solutions
4. Answer the clarifying questions
Before drafting, the AI asks what it needs to know. How detailed should each answer be: brief, moderate, or detailed? Do you want a table, or plain question and answer? Who is the audience?
That last one changes the output significantly. An answer written for a technical evaluator reads nothing like an answer written for an executive, non technical reader. A tool that does not ask is guessing.
5. Let it work through every question
Each question is cross referenced against the content in the Collection, one at a time, and the response is built from what it finds there. Forty questions is a few minutes of processing, not a few days of copying.
6. Check the citations
This is the part that makes the rest of it usable. Every answer carries a citation back to the specific source document it drew from. Click through and you see the content it used.
That is what grounding actually buys you. Not confidence that the AI got it right, but the ability to check in seconds whether it did. If an answer traces back to a current, approved document, you know what you are looking at. If it does not, you know that too.
You still read it
None of this is fire and forget. You read the draft. You validate the citations. You adjust the answers that need a human judgement call.
That is the job, and it should stay the job. What changes is where your time goes. Instead of spending three days finding and reformatting content you already own, you spend an hour reviewing and sharpening a complete draft built from approved material. The judgement work gets the time. The retrieval work stops taking any.
This is the line VisibleThread draws deliberately. Rules where you need proof, AI where you need a head start. The checks that have to be exact, the shred, the compliance matrix, version compare, run on deterministic pattern matching so they are 100% accurate and identical every run. Drafting is different work, so it gets a different tool, with citations so you can verify what it produced.
Where this fits in the bigger picture
An RFI is usually the front end of something larger. The answers you write now become source material for the proposal that follows, which is an argument for doing this inside the same environment where the rest of the bid runs, rather than in a separate questionnaire tool.
Eleven of the top fifteen US government contractors run their bids on VisibleThread. The questionnaire response is one workflow inside that, connected to the shred, the compliance matrix, the outline, the writing, and the review, under the same permissions and the same audit trail.
Frequently asked questions
Can I use this for security questionnaires as well as RFIs?
Yes. The mechanism is the same: a document full of questions, answered against a Collection of approved content. Many teams keep a separate Collection for security and compliance material because the source documents differ from proposal content.
How is this different from an answer library?
An answer library stores question and answer pairs that you maintain by hand. A Collection points at your approved source documents directly, so the content stays current without a second maintenance job.
Do I have to organise all of SharePoint first?
No, and you should not try. Curate the documents that answer this class of question and start there.
How do I know the AI did not invent an answer?
Every answer is cited to its source document. You click the citation and see the content it used.
