Iris RFP: Your AI-Powered Response Solution

February 20, 2025

Evie Secilmis

Understanding RFPs

A Request for Proposal (RFP) is a structured document issued by organizations looking to procure products or services. Businesses responding to RFPs must craft comprehensive, persuasive proposals that align with the client’s needs and demonstrate expertise. However, the RFP response process is often time-consuming and requires meticulous attention to detail.

The Challenges of Traditional RFP Responses

For many organizations, responding to RFPs is a manual, repetitive task that drains resources and delays sales cycles. Common challenges include:

Inefficient RFP workflow, leading to missed deadlines and rushed submissions.
Difficulty in managing past responses and retrieving relevant content.
The need for automated proposal generation to reduce redundant work.

How AI-Powered RFP Management Solutions Transform the Process

Iris provides an AI-powered tool for RFPs, enabling companies to streamline RFP responses and improve win rates. By leveraging proposal automation software, sales and solutions teams can optimize response accuracy, eliminate repetitive tasks, and focus on strategic opportunities.

Key Benefits of AI-Driven RFP Automation:

Automated Proposal Generation – Iris auto-suggests the best responses, pulling from your company’s institutional knowledge.
Efficient RFP Workflow – Save time by centralizing past RFP responses in a searchable knowledge base.
RFP Management Solutions – Track, assign, and manage responses within a single platform.
Proposal Collaboration Tools – Seamlessly coordinate across teams, ensuring compliance and consistency.

Get Started with Iris

Instead of struggling through manual RFP processes, let Iris’s AI-powered tools for RFPs help you accelerate your sales cycle and submit winning proposals with ease.

Go/No-Go Decision: FAQ

What is a Go/No-Go decision in the RFP process?

It’s a structured checkpoint used before investing effort in a response. Teams assess fit, competitiveness, resourcing, and strategic value to decide whether to proceed (“Go”) or decline (“No-Go”).

Which criteria should we score to make the decision?

Common weighted factors include: client fit/ICP alignment, problem-solution fit, competitive position, executive sponsor access, timeline/SLAs, required integrations, security/compliance requirements, internal bandwidth, and strategic value/ARR potential.

How does automation (e.g., Iris) improve Go/No-Go?

Automation aggregates historical win/loss data, surfaces similar opportunities, estimates effort, flags risk (e.g., must-have gaps), and pre-scores criteria so leaders can decide faster with data instead of gut feel.

Who should be involved in the decision?

Keep it small and accountable: opportunity owner (AE), proposal lead, solutions/sales engineering, and an exec sponsor. Legal/Security join when requirements imply material risk or heavy lift.

When should we override the score and still proceed?

Exceptions make sense for: lighthouse logos, net-new vertical expansion, multi-year/strategic ARR, strong executive sponsorship, or a clear land-and-expand path. Document the rationale for post-mortem learning.

How do we standardize the framework across teams?

Use a repeatable rubric with weights, require a short decision brief (<200 words), log outcomes in your CRM/automation tool, and review quarterly to tune weights based on actual win/loss results.

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