Recognition in context
Capture the speaker across real accents, vocabulary, audio conditions, channel compression, pace, and noise.
Built to listen. Designed to hand over.
We design natural voice experiences for support, qualification, scheduling, information access, and other spoken interactions—complete with interruption, recovery, and a clear human route.
Audio and turn detected.
Intent and key details formed.
Permitted tool or answer route.
Clarify, retry, or transfer.
Fallback remains available
Conversation is a timing system.
Turn-taking and interruption
Know when a person has finished, allow them to interrupt, and avoid filling every useful pause.
Useful speech, not a monologue
Keep language concise, confirm important details, and make the next action easy to understand by ear.
Repair without a dead end
Clarify uncertain details, repeat selectively, offer another channel, or transfer with context.
Recognition quality matters, but so do silence, interruption, response delay, repair language, background noise, emotional context, accessibility, channel conditions, and the cost of getting a task wrong.
Voice earns its place when speaking is faster, more natural, more accessible, or the only practical channel for the moment.
Service and triage
Understand the reason for contact, answer bounded questions, complete simple checks, and route complex or sensitive cases.
Transfer with the reason, details already gathered, and steps already completed.
Enquiries and lead routing
Ask relevant questions, capture structured details, answer common queries, and route the conversation to the appropriate team.
Move high-intent or uncertain conversations to a person without restarting discovery.
Booking and coordination
Find permitted availability, collect preferences, confirm key details, and manage straightforward changes or cancellations.
Escalate policy exceptions, conflicts, accessibility needs, or complex coordination.
Knowledge access
Let customers or employees ask spoken questions and receive concise, grounded answers suited to listening rather than reading.
Offer a person or written channel when the answer needs judgement, detail, or source inspection.
Spoken workflow input
Turn calls, voice notes, or field conversations into structured summaries, tasks, records, and review queues.
Keep final submission, sensitive interpretation, and consequential action under the right owner.
Accessible interaction
Provide a spoken route when typing, reading, screen use, mobility, or the physical environment makes another interface difficult.
Always preserve alternative channels and avoid assuming voice is accessible for everyone.
Every voice journey needs an exit.
The system should recognize when confidence, policy, user preference, emotion, complexity, or repeated repair makes a human conversation the better route.
Observe the signal
Low confidence, repeated repair, explicit request, sensitive topic, policy boundary, or operational failure.
Tell the person
Explain that the route is changing and what information can move with the conversation.
Prepare context
Assemble the reason, confirmed details, completed actions, open questions, and permitted conversation record.
Connect the owner
Transfer to the correct team, queue, callback, or alternate channel with a clear status.
Confirm continuity
Make the next person aware of the context and give the caller a recoverable next step if transfer fails.
Transfer the context, not just the call.
A useful handoff can carry the reason, verified details, completed steps, consent context, and transcript or summary permitted for the next person.
One conversation. Several live systems.
The voice experience depends on the channel, audio pipeline, orchestration, business systems, voice output, and operational controls behaving as one service.
Channel and telephony
Receive and place calls or spoken sessions, manage numbers, routing, media, session state, and channel events.
Caller identity context, consent state, audio quality, and connection continuity.
Speech recognition
Turn audio into words, timestamps, confidence, speaker turns, and language context suitable for the task.
Names, numbers, domain terms, uncertainty, and the original audio policy.
Conversation orchestration
Track the goal, dialogue state, instructions, permissions, repair attempts, tool calls, and handoff conditions.
What is known, what needs confirmation, and what the system must not infer.
Tools and business systems
Check availability, retrieve knowledge, update records, create tasks, send confirmations, and trigger permitted workflows.
Authorization, idempotency, data validation, failure state, and audit trail.
Voice generation
Produce clear, appropriately paced speech with pronunciation, tone, language, and channel quality suited to the listener.
Meaning, emphasis, disclosure, numbers, names, and interruption responsiveness.
Observability and review
Capture traces, transcripts where permitted, latency, errors, transfers, cost, feedback, versions, and incident signals.
Privacy, retention, redaction, evaluation evidence, and accountable ownership.
The gaps are part of the dialogue.
We choreograph listening, thinking, speaking, interruption, tool work, and handoff so the system feels responsive without talking over the person or hiding what it is doing.
Caller
Speaks, pauses, interrupts
Voice
Acknowledges, confirms, responds
Systems
Retrieves or completes permitted action
Human
Receives context
Person speaking
Voice response
System work
Human route
The spoken channel changes the risk.
Identity and expectations
Make the automated nature of the interaction clear where appropriate and avoid designing the voice to mislead someone about who or what is speaking.
- Clear introduction
- Capability boundary
- Alternative channel
Privacy and recording
Define consent, recording, transcription, redaction, retention, access, and provider handling for each channel and jurisdiction.
- Consent state
- Sensitive-data controls
- Retention and access
Identity and consequential action
Use proportionate verification before revealing protected information or completing actions with material impact.
- Authentication route
- Confirmation step
- Action limits
Safety and human support
Recognize distress, abuse, emergency language, vulnerability, repeated failure, and other situations requiring a different response.
- Specialist routes
- Immediate stop conditions
- Transfer continuity
From conversation research to a monitored live service, the work combines experience design, speech technology, systems integration, and operational readiness.
Conversation research
Study real calls, intents, vocabulary, accents, environment, failure points, policies, human skills, and channel constraints.
Call and workflow mapIntent and vocabulary viewRisk routesOpportunity brief
Conversation design
Define openings, turns, confirmations, repair, interruption, tool states, silence, transfer, closing, and alternate channels.
Conversation modelPrompt and response patternsHandoff designExperience prototype
Speech and model selection
Compare recognition, synthesis, language, latency, deployment, provider terms, cost, and task performance.
Technology comparisonVoice and language testsLatency budgetArchitecture recommendation
Integration and orchestration
Connect telephony, knowledge, scheduling, CRM, support, identity, notifications, and other permitted systems.
Integration contractsDialogue stateTool actionsFailure handling
Evaluation and safeguards
Test real audio conditions, diverse speakers, task completion, interruption, repair, permissions, handoff, and harmful failure modes.
Audio test setEvaluation rubricSafety controlsLaunch thresholds
Production and operations
Deploy with observability, routing, scaling, cost controls, versioning, incidents, review, and accountable service ownership.
Production serviceMonitoring and tracesRunbooksHandover
Design the difficult turns first.
Listen to the real calls
Understand why people call, how the conversation changes, what experts notice, and where current routes fail.
Model the turns
Design the happy path together with interruption, uncertainty, repair, silence, transfer, and alternate channels.
Prototype end to end
Connect representative audio, dialogue, one useful tool action, and a real human handoff route.
Test difficult audio
Evaluate accents, pace, names, numbers, noise, poor connections, ambiguity, emotion, overlap, and out-of-scope requests.
Launch with ears open
Monitor recognition, latency, task outcomes, repair, abandonment, transfer, incidents, cost, and user feedback.
A scheduling call with a visible route.
A bounded voice service can understand the request, check permitted availability, confirm key details, and transfer when the situation falls outside the normal path.
Caller explains the need
The system listens for the requested time, relevant constraints, and whether the route appears straightforward.
The caller can interrupt, repeat, or request a person at any time.
System queries availability
Permitted scheduling data is checked while the voice sets an expectation instead of leaving an unexplained silence.
No appointment is claimed before the live system confirms it.
Voice repeats critical details
The chosen slot, identity details, channel, and next step are confirmed in language designed to be understood by ear.
Important names, dates, and times receive explicit confirmation.
Exception moves to a person
Policy exceptions, uncertainty, accessibility needs, conflict, or user preference trigger a transfer with context.
The person receives the reason and completed steps, subject to permissions.
Listen to the failures before launch.
Recognition
Does the system hear the words and critical entities needed for the task?
Representative speakers, accents, languages, vocabulary, names, numbers, noise, devices, and channel conditions.
Turn-taking
Does it wait, interrupt appropriately, accept barge-in, and recover from overlap or silence?
Scripted timing cases, spontaneous conversations, interruption tests, long pauses, and endpoint analysis.
Task behaviour
Does it understand the request, use the right tools, confirm critical details, and avoid unsupported action?
Scenario suite, structured traces, tool results, task completion review, and consequential-action checks.
Speech output
Is the response concise, intelligible, correctly pronounced, paced for listening, and suitable for the context?
Listening review across devices, languages, names, dates, numbers, abbreviations, and accessibility needs.
Recovery and transfer
Can it clarify uncertainty, stop loops, honor a request for a person, and transfer with useful context?
Failure injection, repeated repair, explicit handoff, unavailable destination, and alternate-channel tests.
Operations
Can the team observe latency, failure, abandonment, transfers, cost, versions, and incidents without retaining unnecessary data?
Traces, dashboards, redaction checks, alerts, runbooks, owner drills, and release evidence.
Practical answers about channels, voices, languages, interruptions, handoff, privacy, evaluation, and prototypes.
A Voice AI system lets a person interact through speech. It typically combines a voice or telephony channel, speech recognition, conversation logic, language models or other decision methods, business-system tools, speech generation, evaluation, monitoring, and human handoff for a defined task.
Potentially. The design depends on the channel, region, telephony provider, number and routing requirements, consent and recording rules, identification, expected volume, integration needs, and the purpose of inbound or outbound contact.
Yes, when the chosen audio and orchestration stack supports responsive barge-in. Interruption design also needs decisions about background speech, short acknowledgements, accidental triggers, tool execution, what can be cancelled, and how the system resumes without losing the conversation state.
Potentially, but support should be tested for the actual speakers, vocabulary, acoustic conditions, and tasks. Language availability alone does not establish equal recognition, pronunciation, cultural appropriateness, or task performance across accents and contexts.
We consider intelligibility, pace, pronunciation, language, expressiveness, consistency, interruption behaviour, channel quality, accessibility, disclosure, brand fit, licensing, provider terms, and user research. The goal is clarity and appropriateness rather than pretending to be human.
The system detects or receives a transfer need, explains the route, prepares permitted context, connects the appropriate team or alternate channel, and preserves a recoverable next step if the transfer fails. The person should not need to repeat everything unnecessarily.
Recording, transcription, consent, redaction, retention, access, security, provider handling, and deletion must be defined for the use case and relevant jurisdictions. A system should avoid collecting or retaining audio and text that the service does not need.
Yes. A focused prototype can test one high-value conversation, representative audio, a real tool action, interruption and recovery, and a working transfer route. It should produce evidence about quality, risk, latency, integration, cost, and whether voice is the right channel.
Bring the calls.
We’ll map the turns.
Show us the conversations people handle today, the systems behind them, and where a voice service must slow down, recover, or hand over. We will help define the right first route.
studio@quirkydock.com · working internationally · CET