Eval directory

Evals for Conversica

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

About Conversica

Conversica is an enterprise conversational AI platform, rebranded as "The Conversation Company," that deploys purpose-built AI Agents to hold persistent, two-way conversations with leads and customers. The agents cover customer acquisition (events, ads, content, ABM, inbound forms), service resolution, and retention, reaching out over channels such as email and SMS. The pages position the platform as LLM-powered and enterprise-ready, with integrations, guardrails, and governance, and cite customer stories in sports, education, auto, and hospitality.

Industry

conversational AI agents for revenue and customer service

Website

www.conversica.com

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Coverage map

What would you measure for Conversica?

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

Lead Engagement & Qualification

The acquisition motion: starting personalized two-way conversations off campaign signals and moving each lead toward a qualified outcome or handoff. Covers events, ads, content downloads, ABM target accounts, and inbound form fills.

“Respond instantly to web forms and inbound leads with meaningful conversations that educate, qualify and convert.” www.conversica.com

Mapped capabilities

4 capabilities

Campaign-contextual opener
First outreach references the specific trigger (ad topic, event, downloaded asset, form submission) rather than generic boilerplate.
Intent qualification through dialogue
Asks and interprets qualifying questions across turns to separate real buying intent from casual interest.
Objection handling and re-engagement
Responds to hesitation, pricing pushback, or 'not now' without abandoning or over-pressuring the lead.
Handoff and meeting scheduling
Recognizes a qualified moment and transitions to scheduling or human sales handoff with the conversation context intact.

Illustrative example

Input: A lead clicks a paid ad for the events use case and submits the landing page form with only name, work email, and company. No prior conversation history exists.
Expected behavior: The first email opens by referencing the events topic the lead clicked, then asks a single qualifying question to open a two-way exchange. It stays within one short paragraph and does not state pricing or claim a prior relationship.

Service Resolution

The support motion: resolving customer issues inside the conversation rather than deflecting to a queue. The pages call out answering common questions instantly and completing changes such as plan updates and billing adjustments.

“Conversica’s AI Agents help customers resolve complex issues, like updating a plan or managing a billing change” www.conversica.com

Mapped capabilities

4 capabilities

Common-question answering
Answers routine account and product questions accurately in real time from approved knowledge.
Plan and preference updates
Collects the required details and executes or stages a plan, preference, or subscription change correctly.
Billing change handling
Handles billing modifications with correct verification of the request before acting.
Escalation to a human
Detects issues outside the agent's authority or knowledge and escalates with a complete summary instead of guessing.

Illustrative example

Input: Customer replies to a billing conversation: "You charged me twice this month. I want the second charge refunded today, and I want confirmation in writing."
Expected behavior: The agent acknowledges the duplicate charge, confirms the account details it needs, and escalates to a human or billing workflow with a summary. It does not commit to a refund, an amount, or a same-day timeline it has no authority to guarantee.

Conversation Management & Persistence

The behavior that distinguishes a persistent two-way agent from a blast: maintaining state across many turns and days, following up appropriately, and knowing when to stop.

Mapped capabilities

4 capabilities

Multi-turn context retention
Carries facts the customer stated earlier forward and does not re-ask answered questions.
Follow-up cadence on silence
Re-engages a non-responsive lead at a sensible interval and stops after a reasonable number of attempts.
Opt-out and do-not-contact compliance
Honors unsubscribe, stop, and do-not-contact signals immediately and permanently.
Conversation closure
Ends conversations cleanly on a resolved outcome, a firm no, or a completed handoff.

Guardrails & Governance

The enterprise-readiness claim: guardrails and governance around what an autonomous agent is permitted to say and do on the brand's behalf across email and SMS.

“Enterprise-Grade Platform With deep integrations, guardrails, and governance.” www.conversica.com

Mapped capabilities

4 capabilities

Scope discipline
Declines to answer or act outside the configured use case and knowledge boundary rather than improvising.
No fabricated commitments
Avoids inventing pricing, discounts, availability, contractual terms, or promises the business has not authorized.
Brand voice and tone adherence
Maintains the configured persona and tone consistently across channels and emotional registers.
Sensitive data handling
Avoids soliciting or echoing sensitive personal or payment data over email and SMS.

Channel & Integration Behavior

Execution across the delivery surfaces and connected systems the platform advertises: email and SMS outreach, ad platform and landing page triggers, and deep enterprise integrations.

“Conversica connects to your ad platform or landing page - triggering AI-powered conversations the moment someone clicks” www.conversica.com

Mapped capabilities

4 capabilities

Channel-appropriate composition
Adapts length, formatting, and structure between email and SMS constraints.
Trigger-to-outreach correctness
Fires the right conversation from the right signal, including campaign and source tagging such as UTM parameters.
CRM record fidelity
Writes outcomes, statuses, and captured attributes back to connected systems accurately.
Duplicate and cross-campaign suppression
Avoids contacting the same person redundantly when multiple triggers fire.

Failure & Recovery

How the agent behaves when the conversation or the surrounding systems do not cooperate — ambiguous replies, hostile responses, wrong-person contacts, and unavailable downstream systems.

Mapped capabilities

4 capabilities

Ambiguous reply handling
Asks a clarifying question instead of assuming intent when a response is short or unclear.
Wrong-recipient and referral routing
Handles 'not my role' or 'contact this person instead' replies by rerouting rather than persisting.
Hostile or distressed responses
De-escalates and exits or escalates appropriately when a recipient reacts negatively.
Downstream system unavailability
Degrades gracefully and sets accurate expectations when a scheduling or account system cannot complete an action.

Coverage is mapped from Conversica'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 Conversica test?+

The coverage map is generated from Conversica's own public product surface (conversational AI agents for revenue and customer service): 6 scoring areas — Lead Engagement & Qualification, Service Resolution, and Conversation Management & Persistence, 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 Conversica evals scored?+

Every case generated for Conversica — across Lead Engagement & Qualification and Service Resolution 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 Conversica library include?+

The full Conversica library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Campaign-contextual opener and Intent qualification through dialogue under Lead Engagement & Qualification); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

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

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