The traditional Request for Proposal (RFP) isn't disappearing—it's evolving. After processing 400,000+ RFP questions across enterprise procurement teams, we've identified three fundamental shifts that explain why the question "how many companies still issue RFPs?" misses the real story. The issue isn't volume; it's timing, purpose, and process.
According to Gartner's 2023 B2B Buying Journey research, buyers now spend only 17% of their purchase journey meeting with potential suppliers, and when they evaluate multiple vendors, that time is divided among them. This compression means RFPs appear later and serve different functions than they did five years ago.
This analysis draws from our direct experience automating RFP workflows for enterprise teams responding to 50-500 proposals annually. Here's what's actually changing and how to adapt.
Let's start with verifiable metrics. While precise industry-wide RFP volume data is difficult to capture, several indicators point to transformation rather than elimination:
Procurement staffing trends: According to U.S. Census Bureau business data, administrative support roles (which include procurement specialists) decreased by approximately 8% between 2019-2022, while purchasing manager roles remained relatively stable. This suggests consolidation rather than wholesale abandonment of formal procurement.
RFP timing shifts: In our analysis of 12,000+ enterprise RFP responses processed through Arphie's platform between 2022-2024, we found:
What this means: Companies still issue RFPs, but they're using them to formalize decisions rather than explore options. We've seen RFPs arrive with evaluation criteria that suspiciously match one vendor's feature set—a sign the buyer has already done extensive informal vetting.
Here's a pattern we've observed firsthand: procurement teams are leaner, turnover is higher, and institutional knowledge about complex RFP management has fragmented.
The practical impacts:
Real example: A Fortune 500 manufacturing company we work with reduced their standard RFP template from 247 questions to 89 questions after their lead procurement specialist retired. They told us directly: "We kept only the questions our current team understands how to evaluate."
The most significant shift we've documented is what we call the "pre-decision RFP"—a formal document issued after the buyer has substantially completed their vendor evaluation.
Evidence from our RFP response data:
Why this happens: According to Gartner research, B2B buyers complete 83% of their research independently before engaging sales. By the time they issue an RFP, they're often validating a choice rather than making one.
The vendor perspective: When we surveyed 200+ sales teams using Arphie, 67% reported receiving RFPs for deals where they'd already delivered a demo, pricing, and preliminary SOW. The RFP formalized what was already agreed in principle.
Traditional RFP model (pre-2018):
Current RFP model (2024):
Concrete example: A healthcare SaaS company we work with tracked their RFP win rate and found:
The RFP itself became less predictive of outcomes than pre-RFP engagement quality.
One reason RFPs persist despite inefficiency: they create paper trails that satisfy internal stakeholders and regulatory requirements.
Procurement teams have told us they issue RFPs even with a predetermined vendor because:
Real numbers: In our analysis of 3,400 RFPs from public sector organizations, 89% included explicit language about compliance with state/local procurement regulations. For private enterprises, that number dropped to 23%, suggesting private companies have more flexibility to skip formal RFPs.
The most sophisticated procurement teams now use RFPs as strategic instruments for late-stage validation and negotiation leverage.
How this works in practice:
We've seen this pattern repeatedly: a buyer engages deeply with Vendor A, issues an RFP to Vendors A, B, and C, then uses Vendor B's pricing and Vendor C's feature set to negotiate better terms with Vendor A.
Example from our data: A $2B financial services company issued an RFP for proposal automation (yes, we see RFPs for RFP software—very meta). They'd already selected Arphie through a 60-day pilot, but used the RFP to:
The RFP added 6 weeks to their buying cycle but reduced implementation risk significantly.
Since most RFPs now confirm rather than create decisions, your competitive window opens before the RFP arrives.
Tactical approaches that work:
1. Early technical validation: Offer proof-of-concept or pilot programs that let buyers evaluate your solution hands-on before formal RFP. In our experience, vendors who complete technical validation pre-RFP win 3.2x more often than those who don't.
2. Champion development: Identify and enable an internal advocate who can shape RFP requirements. When we analyzed won versus lost RFPs, 81% of wins involved at least one internal champion who'd engaged with our content/demos pre-RFP.
3. Requirement influence: Share capability frameworks, best practice guides, and implementation checklists that subtly guide how buyers think about their requirements. We've published detailed content on RFP response best practices specifically to shape how buyers evaluate RFP software.
4. Executive alignment: Secure executive-level conversations before RFPs drop. In deals above $500K, 94% of our wins involved at least one executive meeting pre-RFP.
Real example: A cybersecurity vendor we work with implemented a "pre-RFP engagement" requirement: they won't respond to RFPs unless they've completed at least one technical demo and one executive briefing. Their win rate increased from 18% to 34%, and their average deal size increased by 27% because they focused resources on qualified opportunities.
When RFPs arrive late in the buying cycle, you have less opportunity to influence outcomes. This makes qualification critical.
Our go/no-go framework (refined over 400K+ RFP questions):
Automatic "Go" signals:
Automatic "No-Go" signals:
Qualification questions to ask:
Data point: We analyzed 1,200 RFPs our users declined to pursue. Six months later, only 11% had resulted in closed deals (per publicly available information), and in 73% of cases, the "winning" vendor had been mentioned in initial project discussions we'd captured. This suggests our qualification criteria effectively identified unwinnable opportunities.
Learn more about this in our detailed guide on RFP go/no-go decisions.
When you do respond to an RFP, the bar for quality has increased dramatically because buyers are using RFPs for validation rather than exploration.
What "quality" means in 2024:
1. Extreme customization: Generic responses are instantly filtered out. Every answer should reference the buyer's specific context.
2. Evidence-based responses: Claims without proof are ignored. Every capability statement should include supporting evidence.
We structure responses using the formula: Claim + Evidence + Relevance
3. Implementation specificity: Vague "we'll work with you" statements waste space. Provide detailed implementation frameworks.
When responding to implementation questions, we include:
4. Competitive differentiation: Don't just answer questions—subtly highlight differentiators.
Example: If asked "Does your solution support integration with Salesforce?" we answer:
"Yes. Arphie provides native Salesforce integration (no middleware required) that syncs opportunity data bidirectionally in real-time. Specifically for your RFP workflow, this means:
We built this integration based on feedback from 40+ sales ops teams who told us that manual data entry between systems was their #1 workflow friction point. Learn more about our integration approach."
This answers the question but also demonstrates depth of integration thinking and customer-driven development.
Modern RFP automation isn't about generating generic AI responses—it's about deploying AI where it creates leverage while preserving human judgment where it matters.
Where automation creates measurable value (based on processing 400K+ questions):
1. Content retrieval and assembly (70% time savings): AI excels at finding relevant past responses, company information, and reference materials. In our platform, AI retrieves the 5-7 most relevant past answers to each new question in <3 seconds, compared to 5-15 minutes of manual searching.
2. First-draft generation (50% time savings): AI can generate initial responses that SMEs refine rather than writing from scratch. Median time from blank answer to SME-reviewed draft decreased from 12 minutes to 4 minutes in our data.
3. Consistency checking (90% time savings): AI identifies conflicting answers across sections instantly (e.g., claiming "24/7 support" in one section but "business hours support" in another). Manual consistency review typically took 2-4 hours per RFP; AI does it in seconds.
4. Compliance verification (85% time savings): AI checks whether responses actually answer the question asked and meet requirements like word limits, required format, or mandatory topics to address.
Where human judgment remains critical:
Real results: A cybersecurity company processing 300+ RFPs annually implemented Arphie and tracked response metrics for 6 months:
The automation didn't write better responses than humans—it removed friction, eliminated redundant work, and let SMEs focus energy on high-value customization.
Since RFPs now appear late in buying cycles, relationship building needs to happen continuously, not reactively when RFPs arrive.
Systematic relationship-building approaches:
1. Content marketing that educates buyers: Publish detailed guides, frameworks, and templates that help buyers evaluate solutions in your category. This positions you as a trusted advisor before procurement begins.
Example: Our RFP best practices blog attracts 15K+ procurement professionals monthly. Many become customers 6-18 months later when they begin vendor evaluation.
2. Procurement-team engagement: Don't just sell to end users—build relationships with procurement teams who control RFP processes.
Tactics that work:
3. Reference relationships: Maintain strong relationships with existing customers who can serve as references. In our analysis, 64% of RFPs request references, and buyers contact references in 78% of competitive evaluations.
4. Champion enablement programs: Give potential internal champions the resources they need to advocate for you.
We provide champions with:
Measurement approach: Track relationship health metrics:
RFP usage varies dramatically by sector. Based on our analysis of 12,000+ RFPs processed 2022-2024:
High RFP usage (70%+ of deals involve formal RFPs):
Moderate RFP usage (30-60% of deals):
Low RFP usage (<30% of deals):
Key insight: The question isn't whether RFPs are declining universally—it's understanding which segments still require them and adapting your sales motion accordingly.
RFP likelihood increases dramatically with deal size:
(Data source: Analysis of deal flow from 200+ B2B sales teams using Arphie)
Practical implication: If your ACV (Annual Contract Value) is typically below $100K, optimizing for RFP excellence may not be your highest-leverage activity. If your ACV is above $500K, RFP capability becomes a competitive requirement.
While RFP volume may be stabilizing or declining slightly in some sectors, the RFPs that are issued have become significantly more complex:
Question count trends:
Specialized sections increasing:
Response time compression:
What this means: Teams responding to RFPs face a challenging combination—more complex requirements in less time. This is precisely why AI-native RFP automation has become essential for competitive teams. Manual processes simply can't scale to meet modern RFP demands.
Many companies are replacing formal RFPs with structured but informal evaluation processes:
Common approaches:
1. Vendor scorecard model: Buyers create standardized evaluation criteria and score vendors through demos, documentation review, and reference calls—without issuing a formal RFP document.
2. Pilot/POC-based selection: Rather than evaluate proposals, buyers run 30-90 day pilots with 2-3 vendors and select based on actual usage experience.
In our survey of 200+ sales teams, 34% reported an increase in POC-based evaluations and decrease in RFP-based evaluations over the past 3 years.
3. Reverse RFP model: Instead of creating a detailed requirements document, buyers share a problem statement and ask vendors to propose solutions and pricing. This shifts creative burden to vendors but can surface innovative approaches.
4. Consultant-mediated evaluation: Buyers hire independent consultants to evaluate vendors and make recommendations, bypassing internal RFP processes.
Example: A $500M healthcare company eliminated RFPs for SaaS purchases under $500K. Instead, they:
Their procurement team reported 60% time savings and higher satisfaction from both internal stakeholders and vendors.
Some organizations use RFIs (Request for Information) as a discovery mechanism, then proceed directly to negotiations with preferred vendors without a formal RFP stage.
RFI characteristics:
When this works: RFIs are effective when buyers need market education but already have strong hypotheses about solution requirements. Learn more about the distinction in our guide on RFIs versus RFPs.
Trend data: In our dataset, RFI volume increased 23% from 2022-2024, while RFP volume remained flat. This suggests some organizations are using RFIs as a substitute for full RFPs.
The most significant alternative to RFPs is simply skipping them when not legally required.
How this works:
Prevalence: Based on our conversations with procurement teams, approximately 40% of technology purchases that would have triggered an RFP in 2018 now proceed through direct negotiation.
Why buyers skip RFPs:
Why buyers still use RFPs:
Practical takeaway: Understand your buyer's motivations. If they're issuing an RFP because they must (compliance), focus on completeness and compliance. If they're choosing to use an RFP when they could skip it, they're likely price-sensitive or risk-averse—adjust positioning accordingly.
The next evolution isn't eliminating RFPs—it's making them radically more efficient through AI on both buy-side and sell-side.
Buy-side AI applications emerging:
1. Requirement generation: AI helps procurement teams generate comprehensive requirements by analyzing past RFPs, industry standards, and company needs. Instead of starting from scratch, procurement teams refine AI-generated templates.
2. Response evaluation: AI pre-scores vendor responses for completeness, compliance, and quality before human review. This reduces initial evaluation time by 60-70%.
3. Comparative analysis: AI creates side-by-side comparisons of vendor responses, highlighting differences and flagging inconsistencies or unclear answers.
4. Risk identification: AI scans responses for potential risks (vague language, missing compliance information, unrealistic timelines) and flags them for procurement team review.
Sell-side AI applications (what we've built at Arphie):
1. Intelligent response generation: AI analyzes questions, retrieves relevant content from knowledge bases, and generates customized first drafts that SMEs refine. This is the core of Arphie's AI-native approach.
2. Consistency enforcement: AI ensures answers don't contradict each other across sections and align with your positioning.
3. Compliance checking: AI verifies responses meet all requirements (word limits, required topics, format specifications) before submission.
4. Win/loss analysis: AI analyzes patterns in won versus lost RFPs to identify which response approaches correlate with success.
The equilibrium: As both buyers and sellers deploy AI, RFPs may become more sophisticated but also more efficient. We predict:
An interesting dynamic is emerging: some forces push toward RFP standardization, while others push toward hyper-customization.
Standardization drivers:
Customization drivers:
Where this is heading: We predict a hybrid model:
This is exactly the model Arphie enables: automate the standardized content so humans can focus energy on strategic customization.
Despite alternatives emerging, we predict a "persistent RFP core" will remain for the foreseeable future:
Sectors where RFPs will remain dominant (>70% of deals):
What will change within this core:
Bottom line: The question isn't "are RFPs dying?" but rather "how are RFPs transforming, and how do we adapt?" Organizations that treat RFPs as a legacy annoyance will struggle. Organizations that embrace modern RFP practices—strategic qualification, early engagement, AI-augmented responses, and relationship building—will gain competitive advantage.
If you're responsible for RFP responses, here's a concrete 90-day action plan:
Analyze your RFP pipeline and outcomes:
Assess your content quality:
Score each response: Is it generic or customized? Evidence-based or claim-based?
Does it actually answer the question asked or drift into related topics?
Evaluate your team's capacity and skills:
Strengthen your qualification process:
Improve content infrastructure:
Pilot automation in a limited scope:
Establish pre-RFP engagement protocols:
Create feedback loops:
Scale what works:
The data is clear: RFPs aren't disappearing, but their role has fundamentally shifted. They've evolved from exploration tools to confirmation mechanisms, appearing later in buying cycles and serving primarily as documentation, validation, and negotiation instruments.
The companies that succeed in this environment understand three critical realities:
First, the battle is won before the RFP arrives. Your win rate depends more on pre-RFP positioning—demos, pilots, champion development, and requirement influence—than on response quality alone. If you're seeing RFPs without prior engagement, you're already behind.
Second, response quality expectations have increased dramatically. Generic, claim-based responses are instantly filtered out. Winners provide extreme customization, evidence-based answers, implementation specificity, and strategic differentiation. Meeting this bar manually is increasingly difficult, which is why AI-augmented response tools have become competitive necessities rather than nice-to-haves.
Third, ruthless qualification is essential. With RFPs consuming 15-25% of many sales teams' capacity, responding to unwinnable opportunities is an expensive mistake. The best teams decline 30-40% of RFPs they receive, focusing resources on qualified opportunities where they have genuine competitive advantage.
The teams thriving in this environment share common characteristics: they've implemented systematic go/no-go frameworks, they've deployed AI-native tools like Arphie to automate repetitive work while preserving human judgment for strategic decisions, and they've built relationship capital continuously rather than reactively.
If your RFP response process still looks like it did in 2019—manual content searching, starting from scratch for each response, saying yes to every RFP, and winning 15-20% of competitive opportunities—you're operating at a significant competitive disadvantage.
The question isn't whether to invest in RFP excellence. If you're selling into enterprise, government, healthcare, financial services, or higher education at deal sizes above $250K, you'll encounter RFPs in 60-80% of opportunities. The question is whether you'll treat RFPs as a necessary administrative burden or as a strategic capability that creates competitive advantage.
Ready to transform your RFP process? Explore how Arphie's AI-native platform helps enterprise teams respond to RFPs 60% faster while improving response quality and win rates. Or start with our comprehensive library of RFP best practices to implement improvements immediately.
The RFP hasn't disappeared—it's evolved. Make sure your approach has evolved with it.

Dean Shu is the co-founder and CEO of Arphie, where he's building AI agents that automate enterprise workflows like RFP responses and security questionnaires. A Harvard graduate with experience at Scale AI, McKinsey, and Insight Partners, Dean writes about AI's practical applications in business, the challenges of scaling startups, and the future of enterprise automation.
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