Enquiry triage
Every form, email or WhatsApp message is read, tagged by type, language and urgency, and routed to the right person. No more shared inbox roulette.
You do not need a new product to use AI. We add a language model to your existing website, app, CRM or ERP for one job at a time: drafting replies, summarising records, classifying requests, writing product copy, or searching your data.
ChatGPT integration means connecting a language model, such as OpenAI's GPT models or Anthropic's Claude, to your own software through an API, so it does a specific job inside your workflow. Our integrations start at AED 4,950 and take 2 to 4 weeks. Larger ones with several features reach about AED 17,500, excluding 5% VAT.
Updated · Prices in AED, excluding 5% VAT
Most people meet AI as a chat window, so they assume integrating it means adding a chat window to their site. Usually the bigger win is invisible. A model can read every incoming enquiry and tag it by type and urgency. It can summarise a 40-message customer history before your agent picks up the call. It can draft a quote email from the fields already in your CRM, in English or Arabic, for a person to check and send. Each of these is a small, well-defined feature with a clear input and output, which makes it testable, cheap to run, and easy to switch off if it does not help. We build those, one at a time, inside the screens your staff already use.
Every form, email or WhatsApp message is read, tagged by type, language and urgency, and routed to the right person. No more shared inbox roulette.
Draft answers in the customer's language from your policies, for an agent to edit and send.
A three-line summary of a customer, deal or ticket history at the top of the screen.
Ask the system in plain words, such as which customers in Sharjah have not ordered since June, instead of building a report.
Product descriptions, meta descriptions and translations generated from your data and reviewed before publishing.
Names, amounts, dates and TRNs pulled out of PDFs and emails into structured fields.
We are not tied to one provider. We test the candidate models on a sample of your real data and pick on quality, cost per task, speed and data terms. Many builds use a small, cheap model for routine steps and a stronger one only where needed.
| What we look at | Why it matters | |
|---|---|---|
| Answer quality | Scored on 50 to 100 of your real examples | Benchmarks on the internet are not your data |
| Arabic | Tested on your Arabic content and customers' wording | Quality varies between models and tasks |
| Cost per task | Measured in fils per request at your volume | Decides whether the feature pays for itself |
| Speed | Time to first word and full answer | Matters for live chat, less for overnight jobs |
| Data terms | Business terms on training and retention | Recorded at build time and rechecked |
| Where it runs | Provider region options, cloud platform availability | Some sectors have rules on processing location |
Model prices and names change often. We design the integration so the model can be swapped without rewriting your software.
A working prototype takes an afternoon. A feature you can rely on with real customers takes the rest of the work, which is what you are paying for.
Fine-tuning means retraining a model on your examples so it learns a style or a narrow task. It is sold often and needed rarely. For most business tasks, a clear instruction, a few good examples, and the right passages from your own documents (known as retrieval, or RAG) give better results, cost less, and update the moment your data changes. We consider fine-tuning when you have hundreds of high-quality examples of a repetitive task, the output format is strict, and the cheaper approaches have been tried and measured. If someone quotes you fine-tuning as step one, ask what they tried first.
We agree one job, what good output looks like, and how we will measure it, for example minutes saved per enquiry or share of drafts sent unedited.
We run two or three models on a sample of your real inputs and show you the scores and the cost per task.
The feature is added to your app or admin on a staging copy, with cost caps, logging and fallbacks.
A small group uses it for real work. We compare the results with the measure we agreed and adjust before wider release.
We quote after seeing your system and a sample of the data. If your software has no API or is a hosted product we cannot change, we tell you on the first call.
One job, one system, measured on your data.
A set of features across one product or several systems.
Model usage is paid directly to the provider at their rates. Care from AED 395 a month covers model updates and test reruns. Prices exclude 5% VAT.
A fair view, so you do not pay for more than you need.
If staff only need help writing emails, a ChatGPT business plan does that without any build.
If your rules forbid sending data to OpenAI or Anthropic, check that first. We explain the options; your policy decides.
An integration does one defined task. If you are still exploring, an AI consulting session gives you a ranked list first.
Zelqori builds ecommerce websites and runs performance marketing for premium brands across Dubai, the rest of the UAE, the GCC and globally. We are based in Dubai and work remotely by design: projects run on Gulf Standard Time over Google Meet, WhatsApp and a shared project channel, and we meet clients in Dubai by appointment.
A store only sells when the right people see it. See our performance marketing →
Stores and systems we designed and engineered to show how we approach a brief like yours.
Prices are in AED and exclude 5% VAT.
Our integrations start at AED 4,950 for one feature in one system and take 2 to 4 weeks. Several features across a product typically reach AED 17,500. Model usage is paid to the provider at their rates, and prices exclude 5% VAT.
Yes, if we can change its code or it has an API. Shopify, WordPress, custom web apps and most CRMs and ERPs with an API can be extended. Closed hosted products sometimes cannot.
It depends on the task. We test both, and sometimes Gemini, on your real data and compare quality, Arabic handling, cost per task and data terms, then recommend one. The integration lets you switch later.
Every build has a monthly spending cap at the provider, per-user limits, budget alerts and caching for repeated requests. You see the cost per task before launch.
Rarely. Clear instructions, examples and retrieval from your documents usually work better and cost less. We consider fine-tuning only after those are measured and fall short.
Both offer business terms that state API data is not used to train their models by default. We record the terms at build time, send only what each task needs, and keep keys on the server. Confirm sector rules with your adviser.
We include it in every build, because prompts only mean something when tested on your data. If you have an existing AI feature that performs badly, we can review and fix it from AED 2,450.
We will tell you whether it is worth building, which model we would test, and what it would cost per month to run.