Agents that finish the job, not chatbots that deflect
Voice and chat agents that answer every call, qualify the enquiry, take the booking and write it into the systems you already use, in English and Arabic, around the clock. Plus back-office agents that read documents, reconcile records and hand exceptions to a person.
- Right for you if
- You lose enquiries to voicemail, or your team spends its day on the same repetitive tasks.
- Outcome
- Enquiries answered in seconds, at any hour, without adding headcount.
- Timeline
- 4–12 weeks depending on scope and integrations.
- Pricing
- Fixed build fee plus running costs per minute or per conversation, modelled during scoping.
Why most deployments disappoint
A chatbot answers questions. An agent takes actions. It checks a real calendar, holds a real slot, writes to a real system, and knows when to stop and fetch a person.
Most deployments disappoint because the agent was built as a conversation rather than as an operation. It sounds good in a demo and falls apart when a caller switches language, asks something odd, or the CRM is slow.
We design the operation first: which systems it touches, what it is allowed to do, when it must hand over. The conversation is the last thing we design.
Signs this is you
- Calls outside business hours go to voicemail and many never call back.
- Your team answers the same handful of questions all day.
- Enquiries arrive by phone, WhatsApp, web and social with no single view.
- Response time to a new enquiry is measured in hours.
- Staff re-key data from emails, PDFs and portals into your systems.
From ring to confirmed booking, without a person.
This is the kind of call our voice agents handle: understand the request, check your systems, quote from your real price list, and write back a booking, a CRM update and a confirmation message.
Agents for the back office, too.
The same approach works for work that never touches a customer: reading documents, reconciling records and moving data between systems, with a person approving anything unusual.
Invoice & document intake
Read invoices, delivery notes and forms in English and Arabic, match them to orders and post to your ERP.
Inbox triage
Sort, summarise and route shared-inbox email, drafting replies for a person to approve.
Multi-step workflows
Agents that call your tools in sequence, check results, and stop for approval when rules say so.
What happens, week by week.
- Weeks 1–2
Listen before designing
We review real call recordings, chat logs or documents, and confirm what your systems will let an agent read and write.
You get: A task map, target journeys and integration feasibility confirmed in writing.
- Weeks 3–5
Set boundaries, then build
Allowed and forbidden actions and handover triggers are agreed and enforced in code, not as polite suggestions in a prompt. The agent is wired into calendar, CRM and messaging.
You get: A working agent in a test environment, connected to real systems.
- Weeks 6–8
Try to break it, with your team
Accents, code-switching, rude callers, edge cases, slow systems. This is where a deployment is won or lost.
You get: A test log and a go or no-go recommendation.
- Weeks 9–12
Go live narrowly, then widen
Start with after-hours or one channel. Weekly transcript reviews, then monthly once it settles.
You get: A live agent, a tuning rhythm and a dashboard.
What you walk away with.
Voice agents
Answer inbound calls on your number, qualify, quote from your price list and book.
Chat & WhatsApp agents
The same brain across web chat, WhatsApp and Instagram, with one conversation history.
Back-office agents
Read invoices, emails and forms; update ERP and CRM; route exceptions to a person.
Ongoing tuning
Monthly transcript review, new intents, and accuracy reporting.
Included
- Call and transcript analysis
- Escalation design and human handover
- Integration with calendar, CRM, telephony and WhatsApp
- Bilingual handling, including mid-sentence switching
- Multi-step workflows with tool use and approvals
- Adversarial testing with your team
- Phased go-live and a performance dashboard
Not included
- Replacing your telephony, CRM or booking platform
- Clinical, legal or financial advice to customers
- Outbound cold calling
- Training models on your customers' data without consent
How you'll know it worked.
- Share of calls and chats answered
- Containment rate (resolved without a person)
- Booking or qualification conversion vs. baseline
- Escalation rate and handover quality
- Cost per handled conversation vs. staffed cost
Where this fits best.
From our insights.
What a bilingual voice agent actually costs to run
Build cost gets all the attention. Running cost decides whether the agent pays for itself.
Why AI pilots stall: an operational post-mortem
Most AI pilots do not fail. They fade. Two weeks of enthusiasm, then nothing. The reasons are almost always operational, and almost always predictable.
Questions we hear a lot
How is this different from voice AI platforms we could buy directly?
We build on strong platforms. What we add is the part that decides whether it works: integration, boundaries, testing against your real calls, and tuning after launch.
How good is the Arabic?
Good enough to run in production, including switching between Arabic and English mid-sentence. It is not flawless with every dialect, and we will show you test results before go-live.
What does it cost to run?
Running costs are per minute of voice or per conversation, and depend on volume. We model them during scoping so there are no surprises.
What if a customer refuses to talk to an AI?
They ask for a person and get one, with the conversation so far attached.
Who owns it after launch?
You do. It runs in your accounts and we document everything.
Can we start small?
Yes. A single channel, after hours only, is a common and sensible first step.
Start with a conversation, not a proposal.
Thirty minutes with someone who has built this before. If we're not the right fit, we'll say so and point you to who is.