We engineer AI systems that carry real work.
Agents that answer, book and follow up. Automations that move data to where it belongs. Products built to last. Designed around how your business runs, and installed on infrastructure you own.
Lina, the AI receptionist we built for dental clinics, answers patients on WhatsApp and on the clinic's website. See her at work
How a Flowramo system works: messages, email, documents, calls and forms come in, the system does the work, and bookings, answers, follow-ups, updates and reports come out.
Most businesses still run on people doing the work of software.
- 23:48Customer waitingReplied at
Messages wait.
A customer writes at night. Your team replies in the morning, after they have asked someone else.
Unanswered since 23:48
Answered at 23:48
- Who can answer
Knowledge sits with one person.
Answers live in one person's head or a folder nobody opens. When that person is away, so is the answer.
Only one person knows the answer
Answered from approved knowledge
- Days since the enquiry
Follow-ups slip.
The second message, the one that turns interest into revenue, is the one nobody has time to send.
Follow-up not sent, day 6
Followed up on day 2
Each of these is a system problem, and each has a system answer.
What we build
Six kinds of systems, and one project can combine several.
Agents that hold real conversations and finish the job: they answer, qualify, book and escalate.
- Several agents working as one
- Tools that take real actions
- Hand-off to a person with full context
Lina answers, books, follows up and hands urgent cases to the doctor.
Workflows that move information between your tools so nobody copies it by hand.
- Event-driven workflows
- Approvals and alerts
- Scheduled jobs and reminders
Reminders and follow-ups go out on time without anyone sending them.
Internal tools that read documents, images and voice, and turn them into decisions your team can act on.
- Document and image understanding
- Voice-note transcription
- Review queues for your team
Lina transcribes the voice notes patients send, and passes their photos and X-rays straight to the doctor with the conversation.
Products other businesses run, from the data model to the dashboard to multi-client infrastructure.
- Multi-client data model
- Dashboards and briefings
- Admin and onboarding tools
The clinic gets a dashboard and a morning briefing.
Assistants that answer only from what your business has approved, and say so when they do not know.
- Search across your own documents
- Answers tied to a source
- Knowledge that stays current
Answers come from the clinic's own documents.
Connections to the platforms you already use: WhatsApp Business, calendars, CRMs, databases and internal APIs.
- WhatsApp Business Platform
- Calendars and CRMs
- APIs and webhooks
The clinic's WhatsApp is connected to its calendar.
A system we built
One of our systems answers patients at 2 am.
Lina is the AI receptionist we built for dental clinics. She runs a clinic's WhatsApp and website chat in whatever language the patient writes, books into the calendar, follows up when patients go quiet and hands urgent cases to the doctor. Lina is the clearest way to see how we build.
- Agents that book, follow up and escalate
- Answers drawn from approved knowledge
- A hand-off the doctor can trust
- Installed on the clinic's own infrastructure
From the first conversation to a system that runs.
Map the work
We sit with the work as it happens today: who does what, where it waits and what it costs.
A map of the work
Design the system
You get a written blueprint: the system, its limits, what stays human and how we will measure it. Change or add anything before we build.
A written blueprint
Engineer and connect
We build, connect and test against your real cases, in Arabic and English.
A system tested on your cases
Install
The system goes live on infrastructure you choose, connected to your own accounts.
Live on your infrastructure
Train and stay
We train your team to run it, or set up an AI assistant that handles everyday issues for them. After launch we stay available when you need us.
A team that can run it
Yours to keep.
You own where it runs, the accounts it uses and the data it keeps.
- Your infrastructure
- Installed on hosting you choose and control.
- Your accounts
- Connected to your own WhatsApp, calendar and tools.
- Your data
- Customer conversations and records stay in systems you own.
- No subscription
- You pay for the system, not for permission to keep using it. Hosting and messaging are billed to your own accounts.
Questions worth asking first.
If yours is not here, send it with your project and we will answer it directly.
What is Flowramo?
Flowramo is a founder-led AI systems and product engineering studio. It designs, engineers and installs AI agents, business automation, custom AI applications, SaaS products, AI knowledge systems and integrations, in Arabic and English, on infrastructure the client owns.
Do you only build for dental clinics?
No. Lina, the AI receptionist we made for dental clinics, which answers patients on WhatsApp and on the clinic's website, is one system we built. The same methods apply to any business whose work runs through conversations, documents and repeatable steps.
What kinds of businesses do you work with?
Businesses whose work runs through conversations, documents and repeatable steps: clinics, service companies, operators and product teams. If your team does the same task a hundred times a week, it is a candidate for a system.
How is a project priced?
We price each system after a call, once we know what it has to do. The written blueprint states scope and price before any build begins. You pay for the project, not a monthly subscription. Hosting and messaging are billed by those providers to your own accounts.
Who owns the system and the data?
You do. We install the system on infrastructure you choose and connect it to your own accounts, so your customers' data stays with you.
Do you work in Arabic?
Yes. We design, write and test in Arabic and English, including Gulf dialect in customer conversations.
What if the AI gets something wrong with a customer?
Every system we build has limits. It answers from approved knowledge, says when it does not know, and hands sensitive or urgent cases to a person with the full conversation. Before launch we test it on your real cases, and you change anything you don't like.
What happens after launch?
We train your team to run the system, or set up an AI assistant that handles everyday issues for them. Hosting and messaging are billed by those providers straight to your own accounts. We stay available whenever you need us.
How do we start?
Tell us what slows your team down. We reply by email or WhatsApp, set up a call, and come back with a written blueprint before any build begins.
Latest insights
All insights
Tell us where the work piles up.
We will show you the system that clears it.