A voice agent’s language performance should carry the same measurable commitments as call availability, response time, and failure handling. If callers use Twi, the service-level agreement should define how recognition, language switching, task completion, abandonment, and review will be measured in Twi.
Consider an illustrative early-access test in Accra. At 10:18 on a humid Tuesday morning, Adwoa, an operations lead with a cooling cup of tea beside her laptop, listens as a test caller answers an English greeting in Twi. The agent catches the first phrase, misses the account reference, then repeats the wrong question in English.
The caller tries once more in Twi. After a pause, he hangs up.
Adwoa cannot label this a rough conversation and move on. The failed call leaves a live operational question: if the same pattern reaches a real campaign, will Twi-speaking callers abandon before giving consent, confirming an instruction, or completing the reason for the call?
The first abandonment changes the measurement
A mid-call abandonment is observable. Its cause may be harder to establish.
The caller might have lost reception. He might have become busy. He might also have left because the agent failed to understand a language the service claimed to support. A useful SLA cannot collapse all three outcomes into one “disconnected” status.
Language coverage needs its own evidence. That starts with segmenting each call by the language actually spoken, including transitions between Twi and English. Teams can then review where recognition confidence dropped, where the agent repeated itself, where the caller corrected it, and which turn came immediately before abandonment.
Aggregate completion rates can hide this failure. An English-heavy campaign may look healthy while a smaller group of Twi-speaking callers repeatedly drops out at the same point. The overall number stays acceptable. The language-specific experience does not.
This is why language transitions belong in the audit trail. Without that record, the team can see that a call ended but cannot reliably connect the ending to what the agent heard, understood, and did.
Define support as a service obligation
A localization checkbox answers a product question: can the system process Twi at all?
An SLA answers the operational questions. How often does the agent recognize the caller’s intent in Twi? What happens when the caller moves from English into Twi halfway through a sentence? Which failures pause a campaign? Who reviews them, and what evidence supports the decision to resume?
The contract or internal service agreement should name the measurements that matter for the actual job. Depending on the call, these may include task completion by language, abandonment after a recognition failure, successful handling of language switches, correction frequency, and the percentage of sampled calls with a complete transcript and event trail.
Thresholds should come from evaluated performance, not aspiration. If the team has only tested a narrow set of Twi call flows, the SLA should say so. If a scenario remains on the roadmap, it should not appear as current coverage.
This distinction matters for Asenda Talk. Native Twi speech recognition and synthesis are fine-tuned in-house, rather than passed through as generic English-first speech. The platform also records telephony lifecycle events, consent, opt-out status, and call audit history. Those components make language-specific review possible, but they do not prove that every accent, topic, or mixed-language exchange already meets a production threshold.
Active early access requires direct language about that boundary.
Connect language failures to operational controls
Back at her desk, Adwoa opens the failed call record. The disconnect event is present. The language segment and preceding turns show where the exchange broke down. She now has enough evidence to classify the call as a probable language-handling failure and keep the test cohort paused.
That pause is the turn in the story. The team does not “fix Twi” as one broad task. It adds the failed utterance to evaluation, checks the recognition and response path, and defines the condition that must be met before another controlled test.
A serious SLA should connect a missed condition to a specific response. That could mean routing the call to a human, changing the supported flow, reducing the campaign scope, or stopping calls until a tested correction is available. For outbound calling, the authority to place real calls also remains separate from language readiness. Asenda Talk uses an operator-controlled real-money gate, and the telephony-provider decision has not yet been made live. A configured agent and a passing language test do not authorize dialing.
The same separation protects consent. A transcript can look plausible while the agent takes the wrong action after a bilingual instruction. A correct transcript can still trigger the wrong action, so review needs to cover both the words captured and the system behavior that followed.
Write the obligation before the next call
Adwoa’s next test begins with a smaller, clearer promise. The approved flow identifies which Twi and English interactions have been evaluated, the dashboard separates outcomes by language, and a mid-call abandonment after a recognition error triggers review before the next batch.
The cooling tea is still beside her laptop. This time, the call record answers the question the first abandonment raised: what failed, who must act, and what evidence is required before another caller hears the agent.
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