Procurement tool

AI Agent RFP Scorecard

Request a vendor-neutral scorecard for comparing AI agent platforms by workflow depth, channel coverage, integrations, handoff controls, analytics, pricing model, and implementation fit.

Vendor evaluationFit score
Risk notes includedNeutral criteria
AI agent vendor-fit scorecard visual with evaluation matrix and rollout criteria
The scorecard is for procurement conversations where pretty demos need comparable evidence.

Evaluation artifact

Make every vendor answer the same hard questions

A useful scorecard compares workflow ownership, channel coverage, integrations, handoff, analytics, pricing exposure, and implementation risk.

How to use it

Score the workflow before the vendor.

The scorecard is most useful when every vendor is tested against the same operating scenario: the channels involved, systems touched, actions allowed, handoff rules, reporting needs, pricing exposure, and implementation owner.

Use it in demos by asking vendors to show the actual artifact: transcript, ticket, CRM update, approval log, analytics view, and failure state. If the evidence is not visible, the score should stay low no matter how polished the pitch is.

Evaluation framework

A cleaner way to compare AI agent vendors.

Fill it in with your team requirements first, then score vendors against those requirements. The goal is to reduce vague demos and make shortlist conversations specific enough for procurement, support, and operations to agree on the tradeoffs.

Workflow depth

Map channels, triggers, escalation paths, and post-resolution work before vendors steer the demo.

Buying model fit

Compare seat, usage, and resolution pricing against the operating model your team actually needs.

Control points

Pressure-test handoff, analytics, auditability, and implementation risk before contract review.

Shortlist clarity

Turn vague vendor claims into a shared scoring language for procurement, support, and ops.