OnRamp Blog

The RFP Template for Agentic Customer Onboarding & Engagement

Written by Alyssa White | 6/11/26 7:56 PM

Every onboarding platform vendor claims to have AI, but the phrase "AI-powered" on a slide deck could mean anything from a basic chatbot to a fully autonomous agentic system. The difference matters a lot.

That's why we built an RFP template for evaluating customer onboarding and engagement platforms in the agentic AI era.

What an RFP Template Is Designed to Do

A request for proposal template gives your team a structured, repeatable framework for evaluating vendors on equal footing. Instead of running a different process for every shortlisted vendor, an RFP template standardizes the questions, surfaces the requirements that matter most to your organization, and makes it easier to compare responses side by side.

The result is a faster, more confident buying decision with fewer surprises after you sign. When the category you're evaluating is evolving quickly, like agentic AI is right now, having a template built specifically for that category means you're asking the right questions before the conversation even starts.

Stop Evaluating Yesterday's AI

Most vendor evaluations ask the same questions they always have: integration checklist, project management features, and portal customization. AI gets a couple of additional line items. But if you're buying a platform in 2026, AI governance, agent architecture, and human-in-the-loop controls deserve their own specific sections, not a checkbox.

Our RFP template gives you exactly that.

What's Inside the Template

The 14-section RFP and requirements scorecard covers the full picture:

  • Three-layer agent evaluation: Most vendor RFPs only ask about internal-facing AI. This framework covers all three layers: agents for your customers, agents for your CS and onboarding teams, and agents for your operations. If a vendor only has one layer, you'll know.
  • AI governance requirements: Human-in-the-loop controls, full audit and attribution trails, tenant data isolation, and AI-specific pricing transparency. These aren't nice-to-haves; they're production-readiness requirements.
  • A drop-in requirements scorecard: Use it as-is or adapt it for your team's evaluation process.

Built for Teams Who Are Serious About the Decision

Take it from OnRamp’s customers. Qualia used a rigorous vendor evaluation to find a platform that reduced time-to-go-live by 53%. A2Z improved time-to-activation by 75%. Flosum cut onboarding time by 70%. These results don't come from picking the vendor with the best-looking AI demo; they come from asking the right questions upfront.

The vendors who can't answer these questions clearly are telling you something important. Use this template to run a sharper evaluation, compare vendors on equal footing, and walk into every conversation knowing exactly what you're looking for. Download the free RFP template here.