We start from a cost
A named process with an annual number attached. Without one there is no way to tell whether the project worked.
AI
AI agency in Dubai
AI applied where it measurably reduces cost or time — and a straight answer where it produces output nobody should publish.
Tell us what you want to automate
A senior person reads this and replies within one working day. No call centre, no drip sequence.
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Support@adnika.comPartners & recognition
The stack we work in, the clients we keep
The platforms we build and run campaigns in, and the clients whose numbers we publish with their names on. HubSpot is the one partnership we claim; the rest are tools we use, not badges.
The problem
Most AI projects solve a problem nobody had
A chatbot gets built because chatbots exist, not because anyone measured what the support queue costs. Six months later it is switched off and the budget is gone.
Start from the cost you are trying to remove, not from the model
The tool was chosen before the problem
'We need AI' is not a requirement. Without a named process, a measured cost and a target, an AI project has no way of being judged and no way of being finished.
Generic output is now free, and therefore worthless
Anyone can generate two thousand words or a passable image in seconds. Using AI to produce more of what everyone else can produce for nothing does not create advantage — it erodes it.
Nobody planned for the failure cases
An assistant that answers ninety per cent of questions well and invents the other ten per cent is a liability in a regulated category. The interesting design work is entirely in what happens when it does not know.
What we do
Where AI actually earns its place
The applications we build, each with its own page.
- 01
AI strategy & consultancy
Deciding where AI earns its cost before anybody buys a licence.
- 02
AI strategy & consultancy
Which processes are worth automating, with the cost written down first.
- 03
AI chatbots & virtual agents
Scoped to a knowledge base, with a designed hand-off when they do not know.
- 04
AI sales automation
Enrichment, scoring, summarisation and follow-up drafting inside the CRM.
- 05
AI knowledge base
Retrieval over your own documents, which is where AI is most reliable.
- 06
AI marketing automation
Workflows that segment, personalise and route without a person.
- 07
AI content generation
Used for scaffolding and research, edited by people before anything ships.
- 08
AI corporate training
Teaching a team to use it properly, which is usually the highest-return AI spend available.
- 09
AI video production
Generative video where it genuinely cuts cost.
- 10
Generative engine optimisation
Being cited by ChatGPT, Perplexity and AI Overviews.
- 11
All marketing services
Every capability in one place — strategy, web, search, content, paid, CRM and creative.
Capabilities in detail
What we build with AI
Applications with a measurable before and after.
AI readiness assessment
Which processes are worth automating, priced against what they currently cost, with the ones that are not worth it named.
Customer support assistants
Scoped to your documented knowledge, with escalation designed before launch rather than added after a complaint.
Internal knowledge assistants
Retrieval over your own policies, specs and history — usually the highest-value and lowest-risk starting point.
Lead qualification and routing
Enriching and scoring enquiries so the sales team calls the right one first.
Sales call summarisation
Notes, next steps and CRM updates generated from the recording, which removes the admin reps most reliably skip.
Content scaffolding
Research, outlines and first structure — never the published draft, because generic output no longer ranks or persuades.
Translation and localisation support
Arabic and English drafting with human review, which is required rather than optional in a considered purchase.
Marketing workflow automation
Segmentation, personalisation and routing that adapts without a person rebuilding the list.
Document processing
Extracting structure from invoices, contracts and forms, where the accuracy bar is measurable and the saving is real.
Generative imagery and video
Where it cuts production cost without producing something that will embarrass the brand.
Generative engine optimisation
Structuring content so AI answer engines cite you — an increasingly material traffic source.
AI policy and governance
What the team may use, on what data, with what review. Most UAE businesses have adoption and no policy.
Team training and workshops
Frequently the best return available: a team that uses existing tools well beats a bespoke build.
Integration into existing systems
Into HubSpot, the website and the tools already in use, rather than another separate product to log into.
Technology
What we build with
Models, tooling and the systems they plug into.
Models
What does the reasoning.
- Claude
- GPT
- Gemini
- Llama
- Open-weight models
- Fine-tuned models
Retrieval & data
Answering from your content rather than from memory.
- Vector databases
- Pinecone
- Embeddings
- RAG pipelines
- Document parsing
Automation
Wiring it into the business.
- HubSpot Workflows
- Zapier
- Make
- n8n
- Custom API integrations
- Webhooks
Generative media
Images, video and voice.
- Midjourney
- Adobe Firefly
- Runway
- Higgsfield
- ElevenLabs
Deployment
Where it runs.
- Cloudflare Workers
- AWS
- Vercel
- Node.js
- Python
Governance
Keeping it accountable.
- Audit logging
- Accuracy monitoring
- Human-in-the-loop review
- UAE data handling
How we work
How we approach an AI project
Cost first, model last. The interesting question is never which model — it is which process is expensive enough to be worth changing.
Name the process and price it
Which task, how many times a week, how long it takes and what that costs annually. If that number is small, we will tell you the project is not worth running.
- Process named and measured before any tooling is chosen
- Annual cost of the current approach quantified
- Target improvement agreed in writing
- An honest answer when the answer is 'do not bother'
Prove it on real data
Built against your actual documents, tickets or records rather than a demo dataset, because that is where accuracy problems appear.
- Prototype on real data, not a curated sample
- Accuracy measured against a human baseline
- Failure cases catalogued deliberately
- Go/no-go decision before the full build
What happens when it does not know
The most important part of the design. Escalation paths, confidence thresholds, human review points and a refusal that is better than an invention.
- Explicit refusal rather than a plausible guess
- Hand-off to a human with the context attached
- Confidence thresholds tuned to the risk of the category
- Audit trail of what it said and why
Keep it honest over time
Monitoring, review and a policy the team understands — because a system that was accurate at launch drifts as the underlying content changes.
- Monitoring on accuracy and refusal rate
- Knowledge base kept current, with an owner
- Data handling reviewed against UAE requirements
- Team trained on what it should and should not be used for
Why us
Why our AI work is deliberately unexciting
The projects that survive contact with a business are narrow, measured and boring. The impressive demos are the ones that get switched off.
We design the failure case
An assistant that invents an answer in a regulated category is worse than no assistant. Refusal is a feature.
Retrieval over your own content
AI is most reliable when answering from documents you control rather than from what it remembers.
We will talk you out of it
A good share of AI enquiries are better solved by fixing a form or a workflow. Saying so costs us the project and keeps the relationship.
Industries
Proven results across sectors
Every number below is the count of case studies we have actually published in that sector, and the best result among them. Nothing is a counter.
Selected work
Work we have shipped, filterable
:quality(80))
German Medical Center
Two disconnected websites rebuilt as one bilingual WordPress site with a HubSpot funnel behind it.
+288% organic traffic
View Case Study 
+288% organic traffic:quality(80))
Roxana Aesthetics
Seventy-two treatment pages in Dubai’s most contested clinical category, built inside DHA advertising rules.
+310% organic traffic
View Case Study :quality(80))
Elora Polyclinic
One site carrying aesthetics, dentistry and surgery — three audiences, three routes, one design system.
+230% organic traffic
View Case Study :quality(80))
Arabland
A Dubai property platform with filterable listing search, a map of the city and a mortgage tool.
+220% organic traffic
View Case Study :quality(80))
Concept Plus
A scroll-scrubbed WebGL scene experience spanning six divisions — and still a PageSpeed of 90.
PageSpeed 90 on WebGL
View Case Study :quality(80))
Bafco
Office furniture on Shopify, serving a single-chair buyer and a corporate fit-out from one catalogue.
+320% organic traffic
View Case Study :quality(80))
A2 Sweden
A smart-lock catalogue with parallel routes by product, by industry and straight to the flagship.
+180% organic traffic
View Case Study Client stories
What clients say
On camera and in writing — swipe through the founders and teams we’ve helped design, build and grow.
In their words
★★★★★
GMC is thrilled to extend our heartfelt appreciation to Adnika! Collaborating with Ehsan and his team has consistently been an absolute delight. Ehsan's dedication and commitment have ensured that German Medical Center remains an exceedingly satisfied and happy client, especially regarding their Hubspot Onboarding, Digital Marketing, Website Development, Content Creation and Social Media Marketing. Adnika is indeed the Best Digital and Growth Marketing Agency in UAE!
★★★★★
Adnika provided us with their Inbound Sales and Marketing solutions through Hubspot. They helped us generate more qualified leads for our sales team, drive website traffic, increase customer engagement, and grow our customer base. Adnika is a reliable partner that has always taken our specific goals and needs seriously.
★★★★★
Adnika has helped us plan, implement and optimize ad campaigns on Facebook and Instagram. Adnika is truly committed to Performance Marketing. They provided us with a fantastic dashboard with detailed KPIs that helped us track the campaigns’ performance in real time. Adnika also gave us helpful and dedicated support during the whole project, and the campaigns turned out to be a great success. We highly recommend working with Adnika's growth experts.
★★★★★
We really enjoyed working with Adnika’s team. Not only are they talented, but they all take the time to understand whom they're working with, what they're trying to accomplish, and how to help the business achieve its goals. The quality of work we've experienced has made a huge difference for us and helped drive new business.
★★★★★
Adnika helped Sea Technology with setting up new digital channels, such as Google Search Ads, to attract more customers and leverage our brand. We are very satisfied with the results and we will continue with the implementation of lead generation, marketing automation, and performance marketing.
★★★★★
Working with the Adnika team has been a real pleasure! Extremely friendly, Ehsan and Elin are always available with prompt replies, valuable insights, patience, a problem-solving attitude, and high knowledge. Super easy to work with them. I highly recommend the Adnika team to help your business!
★★★★★
I am an artist, but I also manage a collective of DJs. In order to promote our services to our clients, we needed Inbound solutions that could attract the right traffic and promote the brand. Adnika built and designed our Inbound processes as well as create and manage campaigns on social media and Google Ads which helped us attract many more customers. I’m very happy!
★★★★★
We've been using Adnika growth marketing solutions only for a few months. They are highly professional, competent, experienced, and creative. Get ready to get to work with this agency. They will come alongside you as a business owner and feel your pain and joy! Get ready to transform your business.
Questions
AI for business, answered
What businesses here ask before committing to an AI project.
A scoped assistant or automation typically runs from around AED 30,000, with ongoing costs for model usage and maintenance. Model usage itself is usually the smallest line. The honest framing: if we cannot identify an annual cost larger than the project, the project should not happen, and we will say so.
Almost always with an internal knowledge assistant or a document-processing task, not a customer-facing chatbot. Internal use has a measurable baseline, a forgiving audience and no brand risk if it is imperfect — which makes it the cheapest way to find out whether the value is real.
No, and the businesses treating it that way are producing content that no longer ranks. What it changes is the cost of drafting, research and admin. The scarce things — judgement, real numbers, an actual opinion — are exactly what a model cannot supply about your business.
The design question is what happens when the system does not know. We build retrieval over your own content rather than relying on model memory, set confidence thresholds, and make refusal-with-hand-off the default. An assistant that says 'I do not know, here is a person' is far better than one that invents plausibly.
It depends entirely on the architecture, and it is worth asking every vendor. We can build so your data is never used for training, stays in a defined region, and is auditable. That constrains model choice, which is a trade-off worth making explicit before you build.
Unedited generic AI content does, because it is indistinguishable from the enormous volume of it now being published. AI used for research and scaffolding, with a person adding the specifics and the judgement, does not. The distinction Google is getting better at is not how it was made but whether it is worth reading.
Generative engine optimisation — being cited inside ChatGPT, Perplexity and Google's AI Overviews rather than ranked as a link. It is becoming a real traffic source, and it rewards clear structure and content that answers outright, which overlaps heavily with good SEO.
An AI readiness assessment: your processes measured, the annual cost of each named, and a ranked list of what is worth automating. It frequently concludes that two things are worth doing and the rest are not, which is a more useful answer than a roadmap.
No questions match — try another search.
Next step
Find out which of your processes is worth automating
An assessment that prices your current processes and names the ones worth changing — including the ones that are not, whether or not you work with us.