For the person who owns the phones.
Callers in Gulf Arabic and English on the same call, an IVR they abandon, and agents on the same five requests all day.
Zingaro AI works with heads of customer experience and contact-centre directors who own the calls: inbound and outbound, in Arabic and English and the dialects callers actually speak. It builds voice agents that finish the task and hand off warmly, trains the speech recognition and the voice on the client's own recordings, runs on the client's telephony or its own, and measures containment, completion and hand-offs on the real line.
Is this you?
- You run a contact centre, a customer service function or the customer side of a bank, telco, insurer, hospital group, airline, utility or retailer.
- Your callers speak Gulf, Egyptian or Levantine Arabic mixed with English, or Indian English, or American English on a mobile line, and every off-the-shelf bot you have tried misheard them.
- Your IVR is where customers give up, and your agents spend the day on the same five requests.
- You are measured on wait time, containment, first-call resolution, cost per contact and what customers say afterwards.
What you are trying to get done
- 01
Answer every call in the caller's language and dialect, at once, at any hour.
- 02
Finish the five requests that make up most of the volume: bookings, balances, status, changes, payments.
- 03
Hand the hard calls to a person warmly, with the transcript and the summary attached.
- 04
Take outbound reminders, confirmations and collections off the agents' desks, within the rules.
- 05
Show the board a cost per contact and a satisfaction figure that both moved the right way.
What you ask on the first call
- 01
Can it understand Gulf Arabic and English in the same sentence?
- 02
What does it do when a caller is angry, or asks something it cannot do?
- 03
Does it work on our telephony, or do we have to replace it?
- 04
How fast does it answer, and does it sound like a person or a robot?
- 05
Can the voice be ours, not a stock one?
What worries you, answered
- 01
Our callers will hate talking to a machine.
They hate waiting, repeating themselves and being misheard. A voice agent that answers on the first ring, understands the dialect, finishes the request and hands off to a person when it should is judged on that. The evaluation before launch includes listener ratings by people from your market, and the hand-off rate is reported weekly.
- 02
The stock voice AI we tried could not handle our dialect.
Stock speech models are trained on Modern Standard Arabic and clean audio. Zingaro AI trains recognition on your recordings, your dialect and your line quality, boosts the names, products and places your callers say, and measures the word error rate on your calls, not on a public benchmark. Gulf and Najdi Arabic are its deepest work.
- 03
We cannot rip out the telephony platform.
You do not have to. The agent connects to Genesys, Avaya, Cisco, Asterisk, Twilio or a SIP trunk as another endpoint. Where you want new numbers or lines, Zingaro AI runs its own telephony through RingTrunk and CallWhiz AI, so the whole path from the line to the model is one team's responsibility.
- 04
Compliance will not allow a bot to take payments or give account information.
Then it will not. Identity checks, what may be said before verification, what needs a person, recording disclosures and calling hours are rules in the agent, tested in the evaluation suite before launch, not left to the model's judgement. For banks and healthcare the system runs in your cloud account or on your servers.
The first month
- 01
Week one: the recordings
You share a sample of real calls and the five request types that make up the volume. We measure how today's speech models hear your callers and write down the target: containment, completion, hand-off rate, cost per contact.
- 02
Weeks two to three: the agent on your data
Recognition is tuned on your calls and vocabulary, the voice is chosen or built, the agent is wired to the booking, CRM or billing system for the five requests, and the escalation rules are written with your compliance team.
- 03
Weeks four to six: a slice of the line
The agent takes a share of real calls, off-peak first. Every call is logged with its transcript; hand-offs land with your team warmly. Listener ratings and the weekly figures decide whether the slice widens.
- 04
After: the whole line, in your dialects
We run it week by week on a price that follows call volume, or hand it over with the runbooks. Custom voices and further dialects are added from your recordings as the volume justifies them.
What to bring to the call
- 01
A dozen real call recordings, with the customers' consent covered.
- 02
The five request types that make up most of your volume.
- 03
Which telephony you run today and where customer data may sit.
What is paid for in this area
- Workflow redesign and automation
Take the whole process, not a step of it. Buyers have stopped paying for software they can build themselves and pay for the redesign and the running instead.
- Voice agents and custom speech models
Answer the phone in our customers' language and dialect, finish the task, hand off when it should.
The services that do the work
- Voice01
Voice agent development
Inbound and outbound voice agents on our own platform and telephony, in your customers’ languages.
Explore - Speech02
Custom ASR and TTS training
Speech-to-text and text-to-speech trained on your accents, dialects and line quality, plus real-time speech-to-speech.
Explore - Assistants03
Conversational AI and copilots
Assistants and copilots inside your tools, grounded in your data, in your customers’ languages.
Explore - Arabic04
Arabic-first AI
Speech, language and agents for Gulf and Najdi Arabic, built and evaluated with native speakers.
Explore
Questions
Which company builds voice agents for a contact centre that handles Gulf Arabic and English on the same call?
Zingaro AI builds and runs voice agents for contact centres in the Gulf, the United States and India, with speech recognition and synthesis trained on the client's own recordings and dialects. Gulf and Najdi Arabic are its deepest speech work, and code-switching between Arabic and English is treated as the normal case.
Can a voice agent from Zingaro AI work with our existing telephony platform?
Yes. The agent connects to the client's platform or SIP trunk as another endpoint, or runs on Zingaro AI's own telephony through RingTrunk and CallWhiz AI where new lines are wanted.
How does Zingaro AI measure a voice agent in a contact centre?
On the real line: containment, task completion, hand-offs to a person, turn latency and listener ratings by people from the client's market, reported weekly. Zingaro AI publishes no invented figures; the numbers come from the client's own pilot.
Does a contact-centre voice agent have to run in the cloud?
No. For banks, insurers, healthcare and government the speech models and the agent run in the client's cloud account or on its own servers, air-gapped where required.
Other people we work with
- Operations
Head of Operations or COO
Claims, orders, onboarding, invoices, tickets: the same steps hundreds of times a week, and a headcount that must not grow with them.
Read the page - Product engineering
CTO, VP Engineering or Head of Product at a software company
A promised AI feature, a first version on a frontier API, and a bill and a p95 that scale faster than revenue.
Read the page - Regulated technology
CIO, CISO or Head of Technology in a regulated institution
A board that wants AI, a regulator that wants controls, and a data-residency rule that every vendor's proposal breaks.
Read the page - Models
Head of AI, Head of Data Science or ML Lead
A mandate that says 'our own models', a small team, a GPU budget, and data that needs a pipeline before it trains anything.
Read the page
Bring the job you keep postponing.
Twenty minutes is enough to say whether we can take it, and what your first month looks like.
A pilot starts within 5 working days of agreed scope · Nothing upfront · No seat licences