Almadar AI, Data & Technology in Riyadh
Business intelligence, financial analytics, data governance and AI-enabled finance tools, from executive dashboards to invoice automation.
What AI, Data & Technology covers
Most finance functions generate far more data than they use: transaction records, ERP exports, spreadsheets nobody has cleaned up in years. This practice works in the gap between having data and using it well, building the dashboards and data governance, and the automation that turns raw financial data into something a CFO can act on.
This increasingly includes AI-enabled tools: invoice processing automation, predictive cash flow modeling and anomaly detection in financial transactions. We apply them where the underlying data quality supports it, not as an add-on for its own sake.
The right scope differs by team. A finance function running enterprise-scale data volumes needs a different build from a smaller team, where a handful of clean dashboards matters more than a full BI platform.
For most companies the starting point is less exciting than an AI pitch suggests: an assessment of what data exists, where it lives and how reliable it is. A predictive model built on inconsistently categorized transactions produces output that looks confident and is quietly wrong. That is worse than no model, because it invites decisions based on numbers nobody has reason to trust.
The most valuable early wins are usually unglamorous: a single reliable source of truth for revenue and cash position that replaces three conflicting spreadsheets, or an automated monthly reporting pack that used to take a week to assemble by hand. These are not the AI headlines, but they change how a finance team spends its time day to day.
We also assess how well your current tools fit before recommending anything new. Many companies already own reporting and analytics capability in their ERP or accounting system that has never been fully used, and sometimes the best answer is to use what exists better instead of adding a platform on top.
AI, Data & Technology
- Power BI Consulting
- Microsoft Fabric
- Tableau Consulting
- Qlik Sense Consulting
- Executive Dashboards
- CFO Dashboards
- ZATCA Reporting Dashboards
- Financial Analytics
- Operational Analytics
- Predictive Analytics
- Business Intelligence Strategy
- Data Strategy
- Data Analytics Services
- Data Governance
- Data Visualization
- KPI Analytics
How we work with clients in this practice
We start with your actual reporting pain points, not a generic business intelligence platform pitch. If your monthly close takes two weeks because data has to be manually reconciled from three systems, that's the problem worth solving before any dashboard gets built on top of an inconsistent data foundation.
Implementation is scoped to what your team can maintain afterward. A sophisticated analytics platform nobody in your finance team can update independently becomes a liability the day the original consultants leave.
This work suits finance teams that already have significant transaction volume but still rely on manual consolidation. It also suits businesses whose leadership makes decisions on delayed or unreliable numbers because producing a current report takes too long. It is less relevant for a very early-stage business whose transaction volume does not yet justify automation, and becomes more relevant once manual reporting consumes days each month instead of hours.
Questions about AI, Data & Technology
Do we need clean data before starting a BI project?
Some degree of data cleanup is almost always part of the work itself, not a prerequisite that has to be finished separately first. We assess data quality as part of scoping.
Can AI tools reduce manual finance work?
Yes, particularly for high-volume, rules-based tasks like invoice processing and reconciliation, though the specific savings depend heavily on your current process and data structure.
What platforms do you work with for BI and analytics?
We work across the major platforms, including Power BI, Tableau and others. The right choice depends on what you already use elsewhere in your technology stack.
How do you handle bilingual reporting requirements for Arabic and English audiences?
Dashboards and reports are built with bilingual support from the start where required, since a board that reads primarily in Arabic and auditors who need English documentation both need to trust the same underlying numbers.
How long does a typical dashboard or BI implementation take?
A focused dashboard covering a specific reporting need often takes four to eight weeks. A broader data governance and analytics program spanning multiple reporting areas takes considerably longer and is usually phased.