AI that never leaves the pilot
I take use cases from idea to production, then measure them. At NADEC, six AI solutions are live: three I originated and three I took over and run.
See what's liveKhalid AlghamdiManager – Business Analytics | Enterprise Data & AI, NADEC
I'm a data, analytics and AI leader in Saudi Arabia. I take use cases from idea to production and measure what they return: five years turning SABIC Finance's manual work into measured savings, and since July 2026, leading NADEC's shift from report delivery to a governed Data & AI function.
I take use cases from idea to production, then measure them. At NADEC, six AI solutions are live: three I originated and three I took over and run.
See what's liveI replace manual preparation with automation and machine learning, and keep the exceptions visible for review. At SABIC, one of those builds avoided USD 4M in vendor costs.
Read the storyI decide what goes first by business value, and make the numbers provable. A seven-criteria model ranks NADEC's initiatives; 3,000+ analytics assets were validated for S/4HANA at SABIC.
See how I decideEvery solution below is running today. The lane shows how it reached production.
About 4,000 scanned invoices a month, prepared for posting
Put invoice-extraction AI into production, reading about 4,000 scanned supply-chain invoices a month and preparing them for posting.
Better collections follow-up, less analyst time
Launched a Finance AI agent that analyzes customer invoices, payments, collections and exceptions, improving collections follow-up and cutting analyst time.
Used for 30+ business requirements documents
Rolled out a GenAI e-BRD solution, used for 30+ business requirements documents, that assesses requirements and helps generate functional specifications.
Search-to-interview cycle cut from 5 days to 1
Lead SmartHR (taken over on joining): five live recruitment AI agents on Azure that cut the search-to-interview cycle from 5 days to 1.
Built for the CEO, C-level and CHRO, grounded in approved KPIs
Lead a live GenAI workforce-analytics platform for the CEO, C-level and CHRO (taken over on joining), with an LLM chat layer grounded in approved KPIs.
Classifies attrition reasons, linked to SAP SuccessFactors
Lead a live AI voice assistant for exit interviews (taken over on joining) that transcribes, summarizes and classifies attrition reasons, linked to SAP SuccessFactors.
NADEC's initiatives are ranked on seven weighted criteria. Leadership adopted the model, and business impact and cost savings carry half the weight.
Five more criteria share the remaining 50%
Each story covers the problem, what I did, how, and what changed.
Decides what gets built by business value, takes AI from idea to production, and measures what each solution returns.
Connected Finance and technical teams around controls, validation evidence and measured savings.
Built the foundation for linking predictive methods, enterprise data models, and decision-ready reporting.

Certified Artificial Intelligence PractitionerCertNexus, valid until Oct 11, 2028

Certified Data Management Professional — AssociateDAMA International, valid until Apr 3, 2029
I'm open to conversations about AI strategy, analytics transformation, leadership roles and speaking.