Curate and Use Loopio's AI Answer Automation for High-Volume RFPs

Ask sales operations (or whoever administers your Loopio instance) for a seat with permission to edit the content library, not just view completed projects. Curating answers is the part of this workflow that belongs to you as the technical subject-matter expert.

Troubleshooting: If you only have viewer access, ask for library-editing permission specifically. Read-only access means you can review automated answers but can't fix a wrong or outdated one at the source.

Loopio's automation only draws from content in this library, so what you put in directly controls what comes out.

1. Upload current product spec sheets and security documentation as new library content, or update existing entries that have gone stale.
2. Add any strong past answers your team has already had approved, especially ones you know get reused often.
3. Tag or categorize each entry the way your team's library structure expects, so the matching logic can find it later.

What you should see: New or updated entries appear in the content library, generally with an owner and a last-updated date. Troubleshooting: If you can't find where to add content, look for a Content Library or Library Management area in the main navigation. The exact menu wording can shift between Loopio releases.

Loopio's SmartScan feature reads an uploaded RFP file and sets up a new project from it automatically, whether the source is a portal export, a Word document, an Excel file, or a PDF.

1. Upload the incoming RFP file.
2. Let SmartScan extract the questions into a structured project.

What you should see: A project populated with the RFP's questions, organized into sections or tabs that mirror the original document.

Loopio's Automated Answers feature fills in matching questions from the approved content library in one pass, and each generated answer ships with a citation back to its source content and a confidence score.

1. Trigger the automated fill for the project (or let it run automatically, depending on your team's configuration).
2. Sort or filter by confidence score so the lowest-confidence answers surface first.

What you should see: Populated answer fields, each showing which library content it drew from and how confident the system is in the match.

Verification step: For any answer touching a specific technical or compliance fact (a certification, an SLA number, a data residency claim) open the source content Loopio cites and confirm the current answer still matches it word for word. A high confidence score means the text-matching found a strong hit, not that the underlying fact is still accurate today. Low-confidence answers need a fresh look or a manual rewrite, not a pass-through.

Confidentiality caution: Loopio's automation only draws from content sources a given user already has access to, which helps with internal permissioning. That doesn't cover the other direction: before uploading a customer's specific security documentation, an NDA-covered attachment, or anything about a live evaluation into the shared library, confirm your company's data handling policy and the platform's own terms allow it. The library is meant to hold your product's answers, not a specific customer's confidential material.

If a question needs input from someone outside your usual scope (legal, a specific engineering team, security), use Loopio's Recommended Experts feature or your team's normal routing process to pull them in rather than guessing at an answer yourself.

Once every section is reviewed and approved, export the completed response in whatever format the RFP requires.