Home / AI Solutions / AI Voice Assistants
Design voice workflows with a clear human handoff.
Explore voice interfaces for bounded tasks such as answering routine questions or collecting initial details. Review consent, latency, language coverage and escalation requirements before implementation.
Overview
AI Voice Assistants, explained
AI voice assistants answer calls, understand what callers need and complete simple tasks such as booking, order status or collecting details. Modern speech and language models make conversations natural, but voice adds challenges: latency, interruptions, accents and the need for a quick route to a person.
We design voice assistants around a few high-volume call types, connect them to your systems and hand over to staff with a transcript and summary when needed. Our experience building a dictation and transcription app informs how we handle speech quality and review.
Before you build
Decisions worth settling first
Settling these points early keeps scope realistic and makes the estimate meaningful.
01
Call types
Identify the most frequent call reasons suitable for automation.
02
Systems
Confirm the booking, order or CRM systems the assistant must access.
03
Handover
Define when and how calls transfer to a person.
04
Languages and accents
List languages and test with realistic recordings.
05
Consent and recording
Review disclosure and recording requirements in your markets.
06
Measures
Agree containment, transfer rate and caller satisfaction targets.
Services
What our AI voice assistants services include
Inbound call assistants
Answer common calls and complete routine tasks.
Appointment booking
Check availability and book or reschedule appointments by voice.
Outbound reminders
Automated reminder and confirmation calls with response capture.
In-app voice
Voice commands and dictation inside mobile and web apps.
Transcription and summaries
Call transcripts and summaries for staff and CRM records.
Telephony integration
Connection to telephony platforms and contact centre software.
How it is built
The layers behind a dependable result
Every layer has an owner, tests and documentation, so the system can be supported after launch.
01
Speech recognition
Converting speech to text quickly and accurately.
02
Understanding
Language models that identify intent and extract details.
03
Actions
Integrations that look up information and complete tasks.
04
Speech output
Natural text-to-speech with low latency and interruption handling.
Use cases
Where it helps
Clinics and services
Appointment booking and general questions.
Retail
Order status and store information.
Hospitality
Reservations and frequently asked questions.
Logistics
Delivery updates and rescheduling.
Field teams
Hands-free reporting and dictation.
Internal helplines
IT and HR questions by phone.
Illustrative use case
A caller can provide booking details to an assistant that confirms the information and escalates unsupported requests.
Why PoliteTech
Why teams choose PoliteTech
Scope before commitment
Priorities, assumptions and acceptance criteria are agreed in writing before a delivery plan is fixed.
Engineers who build
Recommendations come from the people who design, code and support the software, so they reflect real implementation effort.
Visible progress
A shared backlog, regular demos and recorded decisions keep you informed without chasing updates.
Practical AI
Evaluation sets, review steps, cost limits and monitoring are part of every AI feature we ship.
Flexible engagement
Start with a scoped project, a dedicated team or support, and change the model as your roadmap evolves.
Clear ownership
Repositories and accounts can live in your organisation, with IP and confidentiality terms agreed in the contract.
Industries
Where this work fits
Retail and Ecommerce
Build web and mobile journeys around product discovery, ordering and customer service.
Financial Software
Support reporting, document processing and internal operations through defined application workflows.
Logistics Software
Connect planning, task assignment and operational updates in one workflow.
Education and Elearning
Create platforms for content, activities and progress tracking.
Fitness and Wellness Apps
Support tracking, coaching content and user engagement around a clear product goal.
Manufacturing Software
Replace fragmented tracking with workflows for quotations, work status and supporting documents.
Real Estate Applications
Create listing, enquiry and internal coordination tools around your business process.
Business Operations
Build task, approval and reporting tools around the way your team works.
Process
A practical path from requirements to release.
Each stage ends with something you can review: a scope, a prototype, a working increment or a release.
01
Understand
Discuss your users, business needs, existing systems and delivery constraints.
02
Define
Agree scope, technical approach, responsibilities and a delivery plan.
03
Design and build
Develop in manageable increments with visible progress and review points.
04
Test and release
Validate agreed workflows, resolve release blockers and prepare deployment.
05
Support and improve
Document the handover, review production feedback and plan the next priorities.
Technology
Tools and platforms we work with
TwilioVonageOpenAI RealtimeWhisperGoogle Speech-to-TextAzure SpeechElevenLabsDeepgramNode.jsPythonReact NativeAWS
Cost
What shapes the cost of your project?
There is no useful price without scope. These are the factors we review when preparing an estimate, and the estimate lists every assumption so you can see what would change it.
01
Number of workflows
Each workflow needs its own prompts, tools, evaluation set and review design.
02
Data preparation
Cleaning, labelling, chunking and access rules often take more effort than the model itself.
03
Integrations
Connections to CRMs, ERPs, document stores and identity providers add design and testing work.
04
Evaluation and review
Building test sets, review queues and monitoring is essential for reliable results.
05
Model and hosting
Hosted APIs, open models and private deployment have very different setup and running costs.
06
Security and compliance
Sensitive data, audit needs and data residency add controls and documentation.
Engagement models
Choose the engagement that fits your next step.
Dedicated Team
For a changing roadmap or ongoing development. Agree roles and working process, then manage priorities through a shared backlog.
Best for team extension and long-term product work.
Scoped Project
For a defined product or milestone. Align on requirements, deliverables and acceptance criteria, with changes reviewed before they affect the plan.
Best for MVPs, integrations and focused releases.
Maintenance and Improvement
For software that already exists. Start with a technical review, then agree support routines and planned improvements.
Best for live applications and modernisation.
FAQ
Questions about AI voice assistants
Will callers know they are talking to AI?
We recommend clear disclosure at the start of the call and follow local requirements.
Can it handle accents?
Modern speech models handle many accents; we test with recordings from your callers.
What happens if it does not understand?
It asks a clarifying question once, then transfers to a person with the transcript.
Can it connect to our phone system?
Usually yes, through telephony platforms such as Twilio or your contact centre software.
How fast does it respond?
We optimise speech recognition, models and voice output to keep pauses short.
Can calls be recorded and summarised?
Yes, with consent handling, transcripts and summaries saved to your CRM.
Can we begin with a focused scope?
Yes. We can review your current situation and agree a bounded first engagement before a wider build.
How are pricing and timelines determined?
We review requirements, technical complexity, team needs and delivery constraints before proposing an engagement. Estimates list assumptions and what may change the plan.
Can we discuss a project under an NDA?
Yes. Let us know before sharing confidential materials so we can agree confidentiality terms first.
Our work
Voice and dictation projects

Healthcare · Web
Clinical Operations Platform Suite
A suite of platforms for Australian clinical and regulated organisations, covering incident reporting, imaging referrals, radiology reporting, occupational health and medico-legal cases.
Web platformsAI referral processingDictation to reportAccounting integration

Healthcare · Mobile & web
Doctor Recording Supporter
A system for recording dictations and having them transcribed.
React NativeNode.jsReactJSAWS
Discuss your AI voice assistants needs
Share your goals, current situation and the help you need. We will review your message and suggest a practical next step.

