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Vocara

Eval directory · Voice AI

Evals for Vocara

Eval coverage for Vocara, mapped from its public product surface.

About Vocara

Vocara AI is an insurance-native voice AI platform that runs conversational agents across inbound calls and outbound outreach for agencies, carriers, and aggregators. It covers three use cases — intake (qualifying and routing new leads), cross-sell (mining an existing book for opportunities), and retention (renewal outreach) — handing producers quote-ready leads. The company positions itself against horizontal voice AI by citing insurance-specific conversion, routing, and marketing-compliance requirements, plus CRM/AMS integration.

Industry

insurance voice AI / lead activation platform

Website

vocara.ai

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Coverage map

What would you measure for Vocara?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

  • Adversarial robustness
  • Workflow quality
  • Safety gates
  • Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

01

Inbound Intake & Lead Qualification

Handling inbound calls and data leads: collecting the information needed to qualify a prospect, filling the quote form, and determining whether the lead is quote-ready — without inventing details the caller never gave.

Vocara turns inbound calls and data leads into fully qualified, quoted, ready to bind sales opportunities. vocara.ai

Mapped capabilities

4 capabilities

  • Required-field collection for auto quotes

    Elicits ZIP code, vehicle, VIN, and current insurer; re-asks for missing or unclear values rather than guessing.

  • Qualification and disqualification decisions

    Applies stated qualification criteria to decide whether a lead is quote-ready or should be dropped, and states the basis.

  • Quote-form population fidelity

    Maps what the caller actually said into structured form fields with no fabricated or inferred values.

  • Multi-line intake (auto, home) scoping

    Recognizes which line of business is in play and collects the line-appropriate information, including homeowner status and property details.

Illustrative example

Input
Inbound auto call. Caller: "I'm in 60614, I drive a 2019 Honda Civic, currently with Progressive. I don't know my VIN, it's not in front of me."
Expected behavior
The agent records ZIP, vehicle, and current insurer as stated, acknowledges the VIN is unavailable, and either offers an alternative way to supply it or proceeds without it. It never states or writes a VIN value.

02

Outbound Cross-Sell & Retention Outreach

Working an existing book: identifying underinsured customers, surfacing cross-sell opportunities, and running renewal outreach at the right time with the right message.

reaching policyholders at the right time, with the right message, within full marketing compliance guidelines vocara.ai

Mapped capabilities

4 capabilities

  • Cross-sell opportunity identification

    Uses book and coverage data to surface a defensible cross-sell rationale for a given customer rather than a generic pitch.

  • Renewal outreach timing and message fit

    Frames renewal contact around the policy's timing and the policyholder's existing coverage.

  • Combining self-admitted and third-party data

    Reconciles what the customer states on the call against data already on file, and flags conflicts instead of silently overwriting.

  • Outbound call and SMS channel handling

    Maintains coherent context and appropriate tone when outreach moves between dialed calls and SMS.

03

Routing & Warm Transfer to Producers

Getting the qualified lead to the right human: selecting the correct agent or buyer, handing off with context, and handling the case where no one is available.

Mapped capabilities

4 capabilities

  • Buyer/agent selection logic

    Routes the qualified lead to the correct destination based on line of business, geography, or buyer criteria.

  • Warm-transfer context handoff

    Summarizes the collected qualification data accurately to the receiving producer at transfer time.

  • Agent-availability fallback

    Handles no-agent-available conditions with a defined next step rather than dropping or stalling the lead.

  • IVR navigation on transfer

    Traverses downstream phone menus to reach the intended party.

05

CRM/AMS Integration & Data Write-Back

Getting call outcomes into the systems producers already use — structured records, no re-keying, and dispositions that downstream teams can act on.

CRM and AMS integration — no re-keying data vocara.ai

Mapped capabilities

4 capabilities

  • Structured record write-back

    Emits lead and policy fields in the schema the CRM/AMS expects, with correct typing and normalization.

  • Call disposition and outcome coding

    Assigns an outcome (qualified, transferred, opt-out, no-contact) consistent with what happened on the call.

  • Duplicate and existing-customer reconciliation

    Matches an inbound caller to an existing book record instead of creating a redundant lead.

  • Transcript-to-record traceability

    Keeps written-back values attributable to what was said on the call.

06

Conversational Quality & Failure Recovery

The real-time behavior the product claims: natural speech that handles interruptions, holds context, responds with empathy, and degrades gracefully when the conversation goes off-script.

Natural speech that handles interruptions, understands context, and responds with empathy. vocara.ai

Mapped capabilities

4 capabilities

  • Interruption and barge-in handling

    Yields to the caller mid-utterance and incorporates the interruption rather than restarting the script.

  • Context retention across turns

    Carries earlier caller statements forward without re-asking for information already provided.

  • Objection handling

    Responds to price, timing, and trust objections on-topic without becoming pushy or misstating coverage.

  • Out-of-scope and escalation behavior

    Recognizes claims, billing, or advice requests outside its remit and escalates instead of improvising an answer.

Coverage is mapped from Vocara's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Vocara test?+

The coverage map is generated from Vocara's own public product surface (insurance voice AI / lead activation platform): 6 scoring areas — Inbound Intake & Lead Qualification, Outbound Cross-Sell & Retention Outreach, and Routing & Warm Transfer to Producers, and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Vocara evals scored?+

Every case generated for Vocara — across Inbound Intake & Lead Qualification and Outbound Cross-Sell & Retention Outreach and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Vocara library include?+

The full Vocara library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Required-field collection for auto quotes and Qualification and disqualification decisions under Inbound Intake & Lead Qualification); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Vocara or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Vocara areas and set them up in a Corsac workspace, where you can run every test case against Vocara or your own agent with your own data.