Every questionnaire askswhat you already wrote
An RFP is eighty questions whose answers live in a Confluence page, three Jira tickets, and last quarter's response. Khint lets a business analyst pull those sources into one work session, lift the questions off the PDF with capture, and draft each answer with AI directly in the response doc, in a consistent house style.
RFP week is a
copy-paste marathon
The usual loop looks like this: read a question in the portal, go hunt for the Confluence page that answers it, paste both into a chatbot, re-explain the product and the tone for the fortieth time, then carry the answer back by hand. Every question restarts from zero, so answers drift: question 12 says the feature is live, question 57 hedges. Khint collapses the loop. The Memory session holds the case file, the saved action holds the house style, and the answer is drafted where your cursor already is.
One questionnaire, start to finish
Brief the session once, then draft answer after answer.
Open a Memory session for the questionnaire
On the Memorypage, start a session named after the deal: “Acme RFP”. From now on, everything you pull, capture, and draft for this response is logged into one place, and Khint keeps a compacted summary of it that your drafting action can see.
Brief the session with your sources of truth
With Atlassian connected on the MCP page, hit Cmd+Shift+K and pull the Confluence page that describes your architecture, then the Jira issue tracking that half-shipped SSO feature. Each pull lands as an entry in the active session. You are not pasting documentation into a chat window; you are assembling the case file once.
Lift the questions off the PDF or portal
RFPs arrive as locked PDFs and procurement portals that fight the clipboard. Use the palette's Extract text row: drag a region over the question block and the text lands on your clipboard via Capture. For a dense compliance matrix, Capture & ask lets you ask what a question is really after before you commit to an answer.
Draft each answer where the answer goes
Save one Actionfor the job: “Answer this RFP question in our house style: direct first sentence, then supporting detail, no overclaiming.” Type that description and press Generate to draft the prompt. Enable session context on the action, then in your response doc select a question, hit the shortcut, and the drafted answer pastes back in place, informed by the pages and issues you pulled in step two.
Keep client data out of the model
Security questionnaires quote client names, contacts, and reference deployments. Flip on the per-action Redact PII setting and emails, phone numbers, and ID numbers are replaced with placeholders before the AI sees the text. The session log itself stays in a local database on your machine: your RFP case file is not synced anywhere.
Why the session changes the answers
By question 30, the hard part is not writing: it is consistency. Did we already commit to a timeline? Which SSO story did we tell? Because every pull, capture, and drafted answer logs into the active session, and your drafting action sees the session's compacted summary, the answer to question 57 is written with the answer to question 12 in view. That is the difference between an AI that autocompletes and an AI that holds your working context. And when the response ships, the session is a local record of what you claimed, useful the day the deal reaches due diligence.
Why not paste the whole RFP into a chatbot?
You can, once. But a chatbot tab forgets your house style between sessions, invites overclaiming because it never saw your real documentation, and leaves you ferrying every answer back into the response doc by hand. A saved Khint action is the opposite trade: the prompt is written once (tightened with Improve as you learn what procurement teams push back on), it runs on the question you selected in the doc you are already editing, and the output pastes back in place. The broader case for that pattern is on the text actions vs ChatGPT copy-paste page; for sensitive questionnaires, see how PII redaction works. If RFPs are only part of your week, the business analyst toolkit shows the rest.
Common questions
Can Khint answer RFP questions from my product documentation?
It drafts from what you put in front of it. Start a Memory session for the RFP, then pull the relevant Confluence pages or Jira issues into it from the palette (with Atlassian connected on the MCP page). Khint keeps a compacted summary of everything the session has seen, and any action with session context enabled gets that summary alongside the text you selected. It is not a search over your whole wiki: you curate the handful of sources that matter for this questionnaire, which is exactly why the answers stay on-topic.
The RFP lives in a PDF or a locked portal. How do I get the questions out?
Use Capture. The palette's Extract text row lets you drag a region over the question block, and the recognized text lands on your clipboard, ready to paste into your working doc. If you need to understand something first, Capture & ask opens a chat about the region you captured, so you can ask what a dense compliance table is actually asking before you draft.
Is it safe to run client questionnaires through AI?
An action only ever sees the text you selected, plus the compacted summary of your active Memory session if you enabled session context on that action. Nothing else on your machine is read. For questionnaires that quote client names and contact details, each action also has an opt-in Redact PII setting that replaces emails, phone numbers, and ID numbers with placeholders before the AI sees the text. Memory sessions themselves stay in a local database on your machine and are not synced to the cloud.
Do I need Jira or Confluence connected to use this?
No. Connecting Atlassian on the MCP page is what lets you pull pages and issues into the session with one palette command, which is the fastest way to brief it. Without it, the session still fills up from the work itself: every capture and every action you run logs an entry, so by the third answer the session already carries the context of the first two.
Brief it once, answer eighty times
Free with 10 AI actions and 5 captures per day. No credit card. Pull your sources into a session and draft answers where you type.