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AI & Intelligent Automation

AI that reaches production, and stays useful.

We embed AI where it creates the most value: faster decisions, leaner operations and better customer experiences. From strategy to deployment, every initiative is practical, measurable and built to be run.

AI strategy, language and vision models, forecasting, MLOps and automation. Built for production, with people in control.

We believe AI should augment people, not replace them. Our work starts from a real business problem and a measured baseline, not from a model looking for a use. The same team that advises on AI builds and operates it, including solutions already running in production for our clients, and your data is handled on terms you agree up front.

  1. 01

    People stay accountable

    AI handles volume and routine; decisions that matter keep a person in the loop, with an audit trail behind every automated step.

  2. 02

    Measurable results

    Every initiative starts from a baseline, so the impact on time, cost and quality is shown rather than assumed.

  3. 03

    Your data, on your terms

    We collect only what a solution needs, process data locally where possible and never use client data to train anything we offer to others.

Capabilities

What this service covers

Engage us for one capability or the full set. Each one is delivered by people who have run it in production.

01

AI strategy & advisory

Where AI pays off in your business, what to build first and what to leave alone.

We guide organizations through AI adoption with a business-aligned approach. We identify high-impact use cases, assess data readiness and develop an actionable roadmap, so each investment is tied to an outcome you can measure rather than to a trend.

  • Use-case discovery and value scoring
  • Data readiness assessment
  • Build, buy or integrate recommendations
  • A phased roadmap with success criteria
02

Natural language processing

Chat, voice and text understanding in Arabic and English, wired into the channels you already use.

We build chatbots, virtual assistants and language processing tools that understand context, tone and intent. They support customer service, internal operations and multilingual environments, with clear hand-off to a person when a conversation needs one.

  • Chat and voice assistants
  • Document and text classification
  • Arabic and English language support
  • Escalation paths to human agents
03

Computer vision & OCR

Documents and images turned into structured, validated data.

We use computer vision and OCR to digitize large volumes of documents, automate inspection processes and extract data that would otherwise be keyed in by hand. Extracted fields are validated against business rules, and low-confidence results are routed for review.

  • Extraction from statements, invoices and forms
  • Field validation against business rules
  • Image-based inspection workflows
  • Review queues for low-confidence results
04

Predictive analytics & forecasting

Forecasts for demand, risk and capacity, trained on your own history.

We use your historical and real-time data to anticipate demand, optimize inventory, detect anomalies and understand customer behavior. Models are evaluated against your current methods first, so the improvement is visible before anyone depends on it.

  • Demand and capacity forecasting
  • Anomaly and fraud signal detection
  • Customer behavior and churn models
  • Back-testing against your current approach
05

MLOps

The pipelines and practice that keep models reliable after launch.

We bridge the gap between model development and production. We implement automated training, deployment, monitoring and versioning, so models stay accurate as data changes and every release can be traced and rolled back.

  • Automated training and deployment pipelines
  • Model versioning and rollback
  • Drift, accuracy and cost monitoring
  • Evaluation sets maintained over time
06

Robotic process automation

High-volume, rule-based work automated end to end, with people kept on the exceptions.

We automate repetitive processes across departments by emulating the way people work with existing systems. Execution gets faster and more consistent, and your team is freed for work that needs judgment.

  • Process discovery and baseline measurement
  • Automation of rule-based, high-volume tasks
  • Exception handling routed to people
  • Run logs and an audit trail for every action
In production

Running in production

AI solutions we have built and run, ready to be adapted to your processes, data and channels.

Voice AI

AI call center

Voice assistants that handle inquiries, route calls and support customers around the clock in natural conversation.

  • Inquiry handling and call routing
  • Natural, conversational voice
  • Hand-off to human agents
  • Available outside business hours
Generative AI

AI advertising agent

Researches market trends and drafts native ad titles, video scripts and visual assets for marketing teams to review.

  • Market and trend research
  • Ad titles and video scripts
  • Visual asset generation
  • Human review before publishing
Document AI

Financial document OCR

Extracts and validates data from statements, invoices and contracts, replacing manual data entry.

  • Statements, invoices and contracts
  • Field-level validation
  • Review of low-confidence results
  • Structured output for downstream systems
Agentic AI

Help desk agent

Resets passwords, submits access requests and automates IT workflows through chat or voice.

  • Password resets and access requests
  • IT workflow automation
  • Chat and voice channels
  • Escalation to the service desk
Language AI

Arabic translation LLM

A model fine-tuned for English to Arabic translation, with attention to context and cultural nuance.

  • English to Arabic translation
  • Context-aware output
  • Tuned for cultural nuance
  • Domain terminology support
Approach

How an AI engagement runs

We move from a measured problem to a working system in small steps, and each step has to earn the next.

  1. Step 01

    Baseline

    Measure the current process: time, cost, error rate and volume. Without a baseline there is no improvement to claim.

  2. Step 02

    Prove

    A focused pilot on real data, evaluated against the baseline and agreed success criteria.

  3. Step 03

    Build

    Production integration with confidence thresholds, escalation paths and monitoring in place.

  4. Step 04

    Operate

    Ongoing evaluation, retraining and cost control, by your team, ours or both.

Questions

Frequently asked

Platforms & technology
  • Azure
  • AWS
  • Google Cloud
  • LLMs & RAG
  • NLP
  • OCR
  • .NET
  • Kubernetes
  • RPA
Will AI replace our team?

That is not how we design it. Our solutions take on volume and routine work, and people stay responsible for judgment, exceptions and decisions that matter. Each automated step has a clear escalation path.

How do you handle our data?

We collect only what a solution needs, agree processing terms with you up front and process data locally or in your own cloud where possible. Client data is never used to train models we offer to anyone else, and you keep the right to access, correct and delete it.

Can you work in Arabic?

Yes. Our language work covers Arabic and English, including a translation model fine-tuned for English to Arabic, and chat and voice assistants that serve customers in both languages.

How do we know an AI project is worth it?

We measure the current process before building anything and agree success criteria for a pilot. If the pilot does not beat the baseline, we say so before you invest further.

Ready to talk about AI & Automation?

Tell us what you are working on. An engineer reads every message and replies within one business day.

Amman, JordanPrincess Tharwat Hassan St., Amman, Jordan
Dubai, UAEDubai Design District, Dubai, UAE