02 / Platforms, analytics & AI
AI & intelligent automation
Use-case discovery, machine learning, intelligent automation and AI governance, delivered on data the organization already trusts.
Why it matters
AI creates value when it is tied to a specific decision or process, runs on governed data, and keeps a qualified person accountable for the outcome. Jadara helps organizations identify and prioritize AI use cases, build and evaluate models, automate document-heavy and rule-based processes, and govern AI models as assets with training data, lineage and ownership recorded. The Jadara Nadhee Accelerator applies the same principle: AI proposes; a certified human expert approves.
What you get
Outcomes that outlast the engagement.
A prioritized AI use-case portfolio ranked by value, feasibility and data readiness
Models built, evaluated and explainable, with human review where decisions matter
Intelligent process automation, process mining and digital assistants in daily operations
AI governance: model inventory, training-data lineage and accountable ownership
Scope of work
Clear scope. Connected work.
Strategy
- AI transformation model and use-case navigator
- Data readiness, ethical and regulatory considerations
- Innovation and data-centric thinking workshops
Build
- Predictive and prescriptive machine learning models
- Document understanding, information extraction and classification
- Chatbots, digital assistants and intelligent agents
Automate & govern
- Intelligent and robotic process automation and process mining
- Model operations and monitoring (MLOps)
- AI model governance inside the data catalog
Scope, deliverables and acceptance criteria are defined for each engagement.
How we work
From the first session to the final handover.
Discover
We identify use cases with the business and rank them by value, feasibility and data readiness.
Prove
We pilot on representative, authorized data with acceptance criteria agreed up front.
Industrialize
We integrate the solution into the working environment and systems, with monitoring, retraining and documentation.
Govern
We register the model, its training data and its owner, and define when human review is required.
Common questions
A little more clarity.
Where should we start with AI?
With a measurable use case whose data is ready; document reading, demand forecasting and request classification are common examples that prove value quickly.
Is our data ready?
We measure readiness during discovery. Often the first work is on quality and cataloging, which is what makes the AI investment safe.
How do you keep AI accountable?
With documented acceptance criteria, human review of consequential decisions, an audit trail for every result, and registration of models and training data in the catalog.
Connected capabilities
All capabilities
Business intelligence & advanced analytics
KPI frameworks, dashboards, self-service analytics and predictive models that turn governed data into decisions.
Data governance & regulatory alignment
Ownership, policies, classification and privacy controls aligned with NDMO frameworks, the National Data Index and the Personal Data Protection Law.
Data platforms, integration & warehousing
Enterprise data warehouses, big data and data lake platforms, data integration and virtualization, built to feed analytics reliably.
Illustrative photographs
START A CONVERSATION
Tell us about your initiative.
A data office to establish, an index cycle to prepare for, a platform to deliver, a program to rescue. Share the context and we will come back with the right team and a scoped proposal.
Discuss a projectOpens an email to our team. Proposals and RFP responses are prepared in Arabic and English.
HEADQUARTERS
7076 ALSAHBA 4431Riyadh, Saudi Arabia
What helps us respond precisely
- The initiative or challenge to address
- The systems and data sources involved
- The regulatory requirements or measurement cycle in view
- The timeline and the stakeholders