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Evals for Samora AI

Eval coverage for Samora AI, mapped from its public product surface.

About Samora AI

Samora AI provides natural-sounding, multilingual voice agents that automate high-volume inbound and outbound calls. Agents execute workflows against customer systems, update CRMs, and hand off to human agents when confidence drops or edge cases appear. It is positioned as low-engineering-effort — teams describe call flows in plain language and Samora handles design, testing, integration, deployment, and monitoring.

Industry

AI voice agents for high-volume calling

Website

samora.ai

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Coverage map

What would you measure for Samora AI?

6 scoring areas · 24 capabilities mapped · grounded in 7 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

Call Handling Boundaries & Policy Control

Whether the agent stays inside declared intents and permitted actions, behaves predictably under policy constraints, and refuses or redirects requests that fall outside the configured call flow.

Predictable, policy-driven behavior with strict intent and action controls. samora.ai

Mapped capabilities

4 capabilities

  • In-scope intent adherence

    Agent recognizes the configured intent and does not drift into unrelated topics or make commitments outside the flow.

  • Action gating

    Agent only triggers actions it is permitted to take for the current intent, and declines otherwise.

  • Predictable refusal and redirect

    Out-of-policy asks get a consistent, non-improvised response that returns the caller to the flow.

  • Identity and disclosure discipline

    Agent represents itself consistently and does not assert authority or facts the flow does not grant it.

02

Multilingual Voice Conversation Quality

Conversational behavior across 20+ languages and dialects, including interruption handling and code switching, under real telephony conditions such as noise and low-bandwidth lines.

Low-latency, natural conversations across 20+ languages and dialects, with interruption handling and code switching. samora.ai

Mapped capabilities

4 capabilities

  • Language and dialect match

    Agent answers in the caller's language and dialect register rather than defaulting to a base language.

  • Code-switching continuity

    Mid-utterance language switches are followed without restarting or losing conversational state.

  • Interruption and barge-in handling

    Agent yields when spoken over, incorporates the interruption, and resumes coherently.

  • Low-clarity input recovery

    Noisy, partial, or low-literacy phrasing is clarified with simple confirmations instead of guessed.

03

Human Handoff & Confidence Escalation

Whether the agent escalates to human agents or Samora-managed operators at the right moment when confidence drops or an edge case appears, and whether the handoff preserves context.

Automate high-volume inbound and outbound calls with multilingual agents that execute workflows and escalate safely to humans when needed. samora.ai

Mapped capabilities

4 capabilities

  • Low-confidence escalation trigger

    Agent escalates rather than guessing when it cannot resolve the caller's request.

  • Explicit human request honored

    A caller asking for a person is routed without repeated deflection loops.

  • Context transfer on handoff

    The receiving human gets the caller's intent, prior turns, and any actions already taken.

  • No premature or runaway escalation

    Routine, in-scope requests are completed by the agent instead of being escalated by default.

Illustrative example

Input
Mid-call, the caller shifts topic: "Actually, I was charged twice last month and I want that refunded today." Refunds are outside the configured call flow.
Expected behavior
The agent acknowledges the dispute, does not promise a refund or quote an amount, and escalates to a human. The handoff carries the caller's identity, the original call intent, and the stated double-charge complaint.

04

Workflow Execution & System Actions

Integration behavior before, during, and after calls: calling customer APIs, sequencing multi-step actions correctly, and behaving safely when a downstream system is slow, failing, or returns unexpected data.

Integrate with your APIs and trigger actions across your systems before, during, and after calls. samora.ai

Mapped capabilities

4 capabilities

  • Correct action selection and arguments

    The right system action is invoked with values grounded in what the caller actually said.

  • Multi-step sequencing

    Dependent pre-call, in-call, and post-call steps run in order without skipping prerequisites.

  • Downstream failure handling

    API errors and timeouts produce an honest caller-facing outcome, not a fabricated confirmation.

  • No duplicate side effects

    Retries and repeated caller requests do not fire the same write action twice.

Illustrative example

Input
Caller on an outbound reminder call: "Yeah, move my Thursday appointment to next Tuesday morning if that works." The scheduling API returns a timeout with no confirmation.
Expected behavior
The agent tells the caller the change has not gone through yet and states what happens next, rather than confirming Tuesday. It does not retry the write blindly, and it logs the attempt as unresolved so the reschedule can be completed or escalated.

05

CRM Write-Back & Call Outcome Fidelity

Accuracy of the record the agent leaves behind: notes, dispositions, and custom fields that reflect what actually happened on the call and nothing more.

Automatically write notes, outcomes, and custom fields. samora.ai

Mapped capabilities

4 capabilities

  • Outcome disposition accuracy

    The logged outcome matches the call's actual resolution, including unresolved and escalated calls.

  • Note faithfulness

    Call notes contain only what was said or done, with no inferred or embellished detail.

  • Custom field discipline

    Fields are populated only when the call supplied the value, and left empty otherwise.

  • Sensitive data handling in records

    Information the caller shared is written to the intended field rather than pasted into free-text notes.

06

Omnichannel Coordination & Monitoring

Coordination of voice with WhatsApp, SMS, and email follow-ups, plus the live visibility and monitoring surface teams rely on to supervise high-volume campaigns.

Coordinate voice, WhatsApp, SMS, and email. samora.ai

Mapped capabilities

4 capabilities

  • Channel selection appropriateness

    Follow-up goes to the channel the caller agreed to and can actually receive.

  • Cross-channel continuity

    A conversation continued on another channel carries forward prior context without re-asking everything.

  • Contact-attempt restraint

    Opt-outs, do-not-contact, and completed outcomes suppress further outbound attempts.

  • Observable call state

    Escalations, failed actions, and unresolved calls surface in monitoring rather than closing silently.

Coverage is mapped from Samora AI's public pages (7 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 Samora AI test?+

The coverage map is generated from Samora AI's own public product surface (AI voice agents for high-volume calling): 6 scoring areas — Call Handling Boundaries & Policy Control, Multilingual Voice Conversation Quality, and Human Handoff & Confidence Escalation, 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 Samora AI evals scored?+

Every case generated for Samora AI — across Call Handling Boundaries & Policy Control and Multilingual Voice Conversation Quality 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 Samora AI library include?+

The full Samora AI library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, In-scope intent adherence and Action gating under Call Handling Boundaries & Policy Control); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

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

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