Voice AI Procurement Scorecard for Contact Centers: Evaluate Agents on Your Existing Dialer

TL;DR

• Copy the weighted scorecard to compare voice agents on your existing dialer or CCaaS. Score each criterion from 0 to 5, and set pass/fail gates before you test vendors.
• Record whether each score rests on vendor documentation, a demonstration, or a live test on your own dialer or CCaaS. A polished demo cannot establish how an agent behaves on your call route.
• Run the same call scenarios for every vendor. The tests cover routing, interruptions, changed intent, human transfer, operational controls, and peak load.
• Compare full-stack quotes after testing, then use the product-fit section to assess whether an agent suits your existing dialer. The scorecard evaluates evidence, not vendor rank.

Why demos fail to predict production behavior

A vendor demo can show a voice agent completing a call without showing whether it works on your dialer. Your SIP routing, caller data, transfer destinations, and agent desktop can each change what happens during a live call. Test the same scenarios on your own stack before treating a polished demonstration as evidence of production fit.

Make a live call on your own route a procurement gate. A vendor-controlled demo cannot establish whether caller data reaches the agent, a transfer reaches the right queue, or the receiving agent sees the conversation context.

Label each score documented, demonstrated, or buyer-stack verified. Documented means the vendor describes the capability in writing. Demonstrated means you saw it in a vendor-controlled setting. Buyer-stack verified means you recorded the result of a repeatable call through your dialer or CCaaS, using your routing and agent workflow.

The weighted scoring table

Copy one table per vendor and set the weights before testing. They must total 100%. Record the evidence state, score, and any buyer-set gate for each criterion, using the same call scenarios across vendors.

Apply one scale across all five rows. 0 means the required capability failed or was unavailable. 1 means documentation describes it, but nobody demonstrated it. 2 means a demonstration showed it, but buyer-stack evidence remains missing or incomplete. 3 means the core buyer-stack test passed with a material gap or workaround. 4 means routine and failure tests passed with only a minor gap. 5 means repeated agreed tests passed and you retained the supporting records. For pricing, buyer verification means checking the written quote against your expected usage and carrier costs, rather than accepting a displayed rate.

Calculate each row as weight × score ÷ 5, then add the row results. For example, a hypothetical vendor scoring 4, 3, 2, 4, and 3 in table order earns 20 + 15 + 8 + 12 + 9 = 64 out of 100. Those numbers illustrate the calculation, not a vendor result. Use the full-cost RFP guidance when requesting the itemized quote used to score pricing.

Enter each mandatory requirement and its result in the gate column. Examples include visible transfer context, a specified audit record, and a maximum approved cost. Mark the overall result fail if any mandatory gate fails, regardless of weighted points.

Set and verify hard gates

Define the observable pass condition for each gate before testing. For a transfer gate, specify which caller details must appear on the receiving agent’s desktop and when they must appear. Mark the gate fail if the live test does not meet that condition, even when the vendor has a high weighted score.

Require buyer-stack verification for gates that depend on your routing, data access, or agent desktop. Record the test date and supporting call or log for each gate result.

Choose gates that reflect the calls you handle. If payment-card data is in scope, have your compliance owner specify the applicable requirements rather than treating a vendor’s general AI guidance as a PCI checklist. Test whether unauthorized users can access call data and whether the records show the agent’s speech, data access, actions, and any human review. Mark each gate separately from the weighted score.

Live test: SIP routing, DTMF, and failover

Run this test through your own SIP trunk and dialer, using a test queue and test records. A vendor sandbox cannot show whether your dialer passes call context, handles keypad input, or recovers from a failed connection. Record each call’s routing path, result, and evidence state in the scorecard.

Start with a call that carries a test campaign ID in a custom SIP header. Ask, “Which header value reached the agent, and where can we see it in the call record?” Next, inject a separate test variable, such as the caller’s preferred language, and ask the agent to use it. Check the received values against what your dialer sent. SigmaMind AI’s documentation index lists pages for SIP trunking, custom headers, and dynamic variables, but the index does not establish how those fields behave on your connection.

Test keypad input on the same route. Ask the caller to press 2 while the agent speaks, then press 4 after the agent finishes. Watch whether the agent receives each digit once, takes the intended branch, and leaves a usable call record. Request the vendor’s documented DTMF handling details before the test, since the documentation index does not specify them.

Finally, make a test destination unavailable and place a call. Ask, “Which component retries, how many attempts occur, and what happens to the caller when every attempt fails?” Compare dialer logs with vendor call logs and termination reasons. Restore the route and repeat the call to check recovery without duplicate attempts. Agree on the expected behavior before testing, since automatic retry and failover are not established by the documentation index.

If you use NICE or Genesys, require SigmaMind AI to demonstrate routing and context delivery on your deployment. Its documentation index lists VICIdial and Five9 integration pages, but those listings do not verify behavior on NICE or Genesys.

Live test: interruptions, changed intent, and multi-step flows

Run the same three calls through your existing dialer or CCaaS for every candidate. Give each vendor the same qualification questions and authorized access to the same test CRM record. Record the call, the agent’s answers, and any actions the agent takes. A vendor sandbox can help you prepare, but only a call on your stack shows how the configured flow behaves there.

For the interruption test, ask the agent about eligibility and interrupt its answer with, “Wait, I already have an account. Can you check that instead?” The agent should stop speaking, acknowledge the correction, and ask for any information needed to check the account. It should not finish the eligibility script or claim to have checked an account it cannot access.

For the changed-intent test, begin a lead-qualification call and answer the first question. When the agent asks the next question, say, “I need to change my appointment first. Then we can finish this.” Check whether the agent handles the new request within its authorized workflow or routes you to a person. If the call returns to qualification, the agent should retain the answer you already gave rather than restart.

For the failure test, have IT make the test CRM lookup unavailable after the caller supplies an identifier. Ask, “Did you find my record?” The agent should say it cannot confirm the record, avoid inventing a result, and offer the approved recovery path.

Score these calls under the table’s multi-step-flow criterion. Keep documented support separate from the behavior you observed on your dialer, and note each interruption, lost answer, unsupported action, and recovery in the evidence record.

Live test: warm transfer with context visible to the human agent

Run the warm-transfer test on your dialer with a human agent logged in. Have a caller say, “I’m calling about order 4821. The delivery address changed, and I need someone to confirm the new address.” The voice agent should collect the caller’s stated details without claiming to verify the order or address unless it has authorized access to current records. It should then transfer the call. Check the receiving agent’s screen when the call arrives, before the agent asks the caller to repeat anything. Record whether it shows a structured summary, a raw transcript, or no context, and check whether the order number and reason for transfer appear correctly.

Ask the human agent to handle the call using only what appeared on their screen. If the agent must ask for the order number or reason again, record that outcome even if the vendor describes the transfer as context-preserving. Repeat the test with an unavailable agent to see where the call goes and whether the collected details remain available.

SigmaMind AI says its transfers put a call summary and context on screen, but the available documentation index does not specify what appears in the receiving agent’s interface. Treat the screen content as a vendor claim until you observe it on your own dialer. Record the test result and evidence state in the transfer row of the scorecard.

Live test: permissions, call quality, audit logs, and peak load

Run operational-control tests on an isolated queue connected to your dialer, using test accounts with different permissions. Ask a restricted user to open another group’s call record and change an agent workflow. Ask a supervisor to review the same call, then confirm which actions each account could perform and whether the denied attempts appear in the logs. A settings page or permission document does not establish how those boundaries behave on your deployment.

Use a scripted call to test whether the audit trail records what the agent said, which data it accessed, what actions it attempted or completed, and whether a person reviewed or approved them. Include a failed data lookup and a human transfer. Match each entry to the recording and the receiving agent’s record. For call-quality monitoring, have a reviewer score the recording against a checklist covering answer accuracy, correct use of caller details, interruption handling, and transfer context. Check whether a supervisor can see the score and supporting call evidence. If the product generates an accuracy score, compare it with the reviewer’s findings and record disagreements and later corrections. SigmaMind AI’s documentation index lists call logs, analytics, and member management, but those listings do not establish audit completeness or permission boundaries on your stack.

Test capacity with a schedule you can repeat. Set N to an agreed peak number of simultaneous calls that your test queue, trunk, and vendor are authorized to handle. Hold N scripted calls for five minutes, then start an agreed burst within 30 seconds. Repeat the burst three times on the isolated queue. Record failed connections, response delays, interrupted flows, transfer failures, and missing audit entries for each run. Compare the results with pass limits you set before testing, rather than accepting a stated concurrency capacity.

Full-stack pricing worksheet

Calculate total cost over the same period and call volume for every vendor. Fill each line with a vendor quote or a charge from your own carrier contract. A conversational AI procurement guide recommends requesting a total-cost model with its assumptions rather than relying on one quoted rate.

Total cost = sum of charges above − contracted discounts.

Ask each vendor which charges its per-minute quote includes and which charges your carrier bills separately. A blended rate can obscure costs that rise with peak concurrent calls, recording retention, or the number of QA users even when monthly call minutes stay constant. Request the concurrency threshold, per-seat QA price, overage rate, and billing rules for transfers and retries in writing.

Where SigmaMind AI fits and where it doesn't

SigmaMind AI is a candidate when you want to add voice agents to an existing dialer, but its documentation should not count as a passing live-test score. The published docs list dedicated VICIdial and Five9 integration pages, SIP deployment paths, and a conversational flow builder. Those listings provide documentation to review for the named connection paths and flow builder; they do not verify a completed integration or a multi-step call. They do not establish how either connection behaves on your trunk under your call scenarios.

SigmaMind AI names NICE and Genesys among its supported platforms, but the reviewed docs index does not list dedicated integration pages for them. Request connection details and run the routing, failure-recovery, and transfer tests on your own stack before scoring either platform as buyer-stack verified. SigmaMind AI also says it passes conversation context to a human agent. The reviewed documentation does not establish what appears in the receiving agent’s interface, so watch the handoff and ask the agent what they can see. Apply the same test to permissions, QA review, and audit records rather than awarding points for listed features alone.

SigmaMind AI describes usage-based billing and says it charges no monthly or concurrency fee. Confirm those terms, any minimum commitment, and what the quoted usage rate includes in a written proposal. The reviewed sources do not provide a verified itemized per-minute breakdown, so request a quote that separates platform, speech, model, and telephony costs. An overlay fits when your dialer already handles campaigns and routing well. If you intend to replace the dialer, assess migration and the replacement’s full calling functions separately. For other candidates, use the contact-center platform comparison, then apply the same live scorecard to each one.

FAQs

• How long should a pilot run? Run it long enough to capture routine calls, handoffs, and your busiest expected calling period. Set the duration before testing, and extend it if you cannot observe those conditions.

• Who should score the pilot? Operations should score caller experience, flow completion, and handoffs. IT should score routing, permissions, logs, and failure recovery, while both groups review any disputed result against the same call evidence.

• What if a vendor will not test on your dialer or CCaaS? Record its evidence as documented or demonstrated, not buyer-stack verified. If live testing is a pass/fail gate you set, do not treat a vendor sandbox as a substitute.

• How should you re-score after a model or prompt change? Run the affected scenarios again, then repeat a small set of unchanged calls to check for regressions. Keep the earlier scores and recordings so you can see what changed.

• Does a pass on VICIdial carry over to Genesys? No. Routing, transfer context, and agent-screen behavior can differ, so test those criteria again on Genesys before assigning a verified score.

Reuse the scorecard after launch

At renewal or after a vendor change, compare new results with the saved scores, evidence states, gate results, and recordings from the same call scenarios on your dialer.

When a vendor changes its model or workflow, rerun the affected live tests and record the new results beside the old ones. For broader purchasing questions, see the CEO buyer guide.