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Decision intelligence people can question in natural language.

Connect governed business data to Arabic and English analytics experiences, from executive dashboards to read-only Text-to-SQL and traceable automated insights.

Where decision intelligence helps

It is useful when valuable operational data exists but access depends on specialist reports, fragmented dashboards or slow manual analysis.

Natural-language analytics

Let authorized users ask governed questions without writing SQL.

Executive visibility

Bring KPIs, trends and exceptions into role-specific decision views.

Automated insights

Surface meaningful changes and forecasts with traceable source context.

Natural language without unrestricted database access

The analytics layer constrains identities, schemas, queries and outputs so convenience does not bypass data governance.

  • Approved databases, schemas, metrics and business definitions
  • Read-only query controls and row-level permissions
  • Query validation, timeouts, logging and result limits
  • Arabic and English terminology and explanation quality

From idea to an operating system

Each phase produces a clear decision or piece of evidence before the next investment is made.

DiscoverConfirm the workflow, users, evidence and constraints.
DesignChoose the architecture, controls and measurable acceptance criteria.
PilotTest with representative data and real operational scenarios.
OperateDeploy with monitoring, ownership, support and a change process.

Frequently asked questions

What is Text-to-SQL?

It converts a natural-language question into a structured database query, executes it under defined controls and presents the result in an understandable form.

Can users access every table?

No. Access can be limited by role, approved schemas, views, metrics and row-level policies.

Can the system explain a chart?

Yes. It can provide a plain-language interpretation while retaining the query and source context needed for review.

Start with a clear operational problem.

We will help you evaluate value, data, risk and the right deployment path before committing to a build.

Book a discovery session