Call center AI RFP template

We've filled out more than 100 of these so we pulled together the most common questions. Hopefully they help you make the right decision. Download it for free below.

Call center AI RFP vendor-evaluation scorecard, a free Excel template

What is a call center AI RFP template?

A call center AI RFP template is a structured set of questions a contact center sends to AI vendors so it can compare them on the same criteria: real-time capabilities, quality and compliance, AI governance, integrations, implementation, security, and track record. A good template turns vendor demos into a scored, side-by-side evaluation, so you decide on evidence instead of on the best pitch.

What's inside the template

Vendor & platform overview

Company background, scale, references, a platform summary, and the pricing model.

Capabilities checklist by product

A Yes / Partial / No matrix broken out by product: agent assist, automated QA, coaching, insights, notes, AI agent, and omni-channel.

AI governance

Model ownership, version rollback, incident response, re-validation, and human oversight.

Security & compliance

Certifications, encryption, access controls, data residency, retention, redaction, and disaster recovery.

Integrations & architecture

Fit with your existing telephony and CCaaS, CRM and API access, and how it scales.

Implementation & support

Time to first value, who runs the rollout, the uptime SLA, and the support model.

Reporting & analytics

Dashboards, scorecard reporting, trends, and exports.

Pricing & commercial

Pricing model, what's included, implementation fees, discounts, and total cost.

A 1-to-5 scoring column

Score every vendor on the same questions so you can rank them side by side.

Get the free template (Excel)

No form and no sales pitch. Download the Excel scorecard, send it to the vendors you are evaluating, and score their answers against the same questions. Edit it however you like.

Score every vendor on these six dimensions

Real-time capabilities

Does the platform work during the interaction, or only after it? Guiding agents live is much harder to build than reviewing conversations afterward.

Quality and compliance

Can it score 100% of interactions automatically, calibrate across evaluators, and redact sensitive data in real time?

AI governance

Who owns the model, can you roll back a version, and how are changes to a live system reviewed and signed off?

Integration depth

Does it run on your existing telephony and CCaaS with no rip and replace? Shallow integrations stall rollouts.

Implementation and support

Time to first value, who runs the rollout, and the support model after launch.

Track record

Years of real-time experience, interaction volume at scale, and a committed uptime SLA.

The questions most call center AI RFPs miss

Most templates were written for outsourcing or legacy software, so they skip the questions that separate AI vendors. Add these.

AI governance

Ask what happens after go-live. Can you roll back a model version? How quickly are you notified of an incident? Is accuracy re-validated when the underlying model changes, and who signs off on changes to a system that is scoring or guiding live interactions?

Define every metric

"Accuracy" and "resolution" mean nothing until they are defined. Ask each vendor to define containment, deflection, resolution, and average handle time exactly as they measure them, and to report against your definitions so the answers are comparable.

Latency and uptime under real volume

A demo runs on one interaction. Production runs on hundreds at once. Ask for real-time latency under production load, the uptime SLA with service credits, and how the platform holds up at your peak concurrency.

Who owns the AI model?

Some platforms resell another company's model with a thin wrapper. Ask whether the vendor builds and controls its own models, which parts are third party, and what happens to your roadmap if a model provider changes its terms.

Call center AI RFP FAQs

A call center AI RFP is a request for proposal a contact center sends to AI vendors so it can compare them on the same criteria before buying. It usually covers real-time capabilities, quality and compliance, AI governance, integrations, implementation, security, and track record, and asks for a scored response so you can rank vendors side by side.

An RFI gathers early information to shortlist vendors. An RFP asks shortlisted vendors for a detailed proposal against your requirements, and is where most of the real evaluation happens. An RFQ requests specific pricing once you know what you want. For contact center AI, most teams run an RFI to narrow the field, then an RFP to choose.

Cover six areas: real-time capabilities, quality and compliance, AI governance, integration depth, implementation and support, and track record. Add the questions most templates skip, like model rollback, incident notification, re-validation after model changes, and whether the vendor owns or resells its AI model.

Weight the dimensions by what matters to your center, then score each vendor 1 to 5 against the same definitions. Real-time capability and integration depth usually carry the most weight, because they decide whether the platform works on your interactions and inside your stack. Define every metric in the RFP so the answers are comparable.

Most teams run one over about three to four months, including shortlisting, proposals, scoring, and a pilot. Enterprise evaluations with a security review and a proof of concept can run longer. The clearer and more specific your questions, the faster vendors can respond and the easier they are to compare.

Ask who owns the model, whether there is human oversight, how drift is monitored, and how the vendor handles model changes after go-live. Include model rollback, incident notification timelines, re-validation of accuracy when models change, and sign-off on changes to any system that scores or guides live interactions.

Define them in the RFP so every vendor answers the same question. Containment is the share of interactions handled without a human. Deflection is the share kept out of a queue. Resolution is the share where the issue was actually solved. Average handle time is the average length of an interaction. Ask vendors to report against your definitions.

Yes. The template is a free Excel scorecard with no form to fill out. Download it, edit it however you like, and send it to the vendors you are evaluating. It was compiled by Balto from more than 100 contact center AI RFPs, so it reflects the questions that tend to matter most.

Download the call center AI RFP template

Get the free Excel scorecard and start comparing vendors on the same terms today.