Why Your RFP Tool Needs Multi-User Access
June 20, 2025
By
Evie Secilmis

Sales Engineers Don’t Scale. Neither Should Your Bottlenecks.
In many teams, RFPs stall because one person is expected to quarterback the entire process—juggling intake, drafting, routing, and final submission.
But the opposite extreme isn’t much better.
Sometimes everyone is involved. And that’s where the chaos begins.
The Hidden Cost of “Too Many Cooks”
We hear it all the time:
“It’s a team effort, so the whole team should be in the doc.”
But when five people are editing the same spreadsheet, answers get overwritten. Legal’s waiting on Sales. Sales is waiting on Product. Product is waiting for someone to assign ownership.
No one’s sure which version is final.
This isn’t collaboration—it’s confusion with a Google Doc.
More access without structure = more delays, not fewer.
The Real Reason Collaboration Breaks Down
Most RFP chaos doesn’t come from bad collaboration—it comes from unclear collaboration.
Everyone’s trying to help, but without defined roles, version control, or workflow automation, “helping” becomes rework.
Legacy tools like Docs, Sheets, and Drive weren’t built for structured ownership. They don’t assign responsibility, control edits, or track changes in a way that scales.
The result?
- Unclaimed sections that slip through the cracks
- Duplicated effort as multiple people rewrite the same answers
- Conflicting versions with no clear final authority
Iris fixes this by defining who owns what—and letting AI manage the rest.
The Fix Isn’t “More People” — It’s Smart Collaboration
That’s where a modern AI RFP software platform like Iris comes in.
Iris isn’t just about adding users—it’s about assigning ownership with clarity, context, and control.
With Iris, your team can:
- Assign specific sections or questions to the right subject matter experts
- Use role-based permissions to prevent accidental edits or duplicate work
- Keep everyone aligned in one live workspace—no version confusion, no “final_final2.docx”
- Let AI handle the first draft of repetitive answers to reduce human effort entirely
Whether your team has one owner or ten collaborators, Iris makes sure the work moves forward without stepping on itself.
What Scalable Collaboration Looks Like in Practice
With Iris, collaboration isn’t chaos—it’s choreography.
Here’s how it looks in action:
- The proposal manager uploads the RFP and assigns sections automatically.
- Iris drafts 80% of repetitive answers using past approved content.
- Legal and Product review asynchronously in one workspace—no Slack chases, no email back-and-forth.
- Sales submits early, with every section reviewed and approved.
That’s not just faster—it’s smarter.
Collaboration that’s structured, transparent, and consistent means fewer delays, cleaner reviews, and stronger win rates.
What It Actually Enables: Async Work That Works
Multi-user access isn’t about turning RFPs into a group project.
It’s about distributed ownership with clear boundaries—and letting AI handle as much as possible.
That means:
- One person can upload and delegate—and then step away.
- SMEs can answer just their piece, without digging through 40 questions.
- Legal and Sales can work in parallel—not ping-pong over email.
- AI can suggest answers from your knowledge base in real time.
The results speak for themselves:
- SE time on RFPs drops from 50% to 12%
- Knowledge reuse increases by 312%
- RFPs get submitted on time—even when someone’s OOO
This is what scalable, collaborative RFP response actually looks like.
From Bottlenecks to Bench Strength
The best teams aren’t the ones with the most people—they’re the ones with the best systems.
Iris turns individual expertise into shared intelligence.
That means when your SE, Product Lead, or Proposal Manager takes time off, their knowledge doesn’t go with them.
By centralizing and structuring your process, Iris builds organizational resilience:
- No single points of failure
- No frantic searches for the “last version”
- No missed deadlines when someone’s offline
When knowledge is accessible, scalable, and AI-supported, your process becomes bulletproof.
How to Tell If You Have a Collaboration Problem
Ask yourself:
- How many people worked on your last RFP?
- How many versions of the doc were floating around?
- How often did answers get duplicated, overwritten, or lost?
- If someone took PTO mid-way, did the process stall?
If that sounds familiar, you don’t just need more access—you need a system that makes access useful.
Final Thought: Collaboration Should Multiply, Not Complicate
Collaboration isn’t about inviting more people into the doc—it’s about creating structure so everyone contributes effectively.
Iris gives your team the tools to work in parallel, stay aligned, and scale knowledge without creating chaos.
Because sales engineers don’t scale.
But your process can.
→ Ready to make collaboration actually work? Book a walkthrough at heyiris.ai
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