Case Studies

Real AI engagements we've shipped, from PoC to production, across finance, public sector, healthcare, aviation and industry.

Public Sector

A five-language city outgrew the digital front door built for two.

A federal law-enforcement entity in the Gulf region was serving a city whose population had outgrown its digital front door - we rebuilt it as an agentic, multilingual assistant.

GenAI & LLMsRAGAI Agents

Ismail Mebsout•May 12, 2026

Aviation

At 120,000 employees, the HR intranet stops scaling.

A global aviation group with a six-figure workforce was drowning in policy questions - we built the assistant that gave each employee a personal HR concierge.

GenAI & LLMsRAGEnterprise AI

Ismail Mebsout•May 5, 2026

Aviation

A frontline agent shouldn't be scrolling through PDFs in front of a customer.

The airport-services arm of a global carrier needed its agents to answer faster than the customer could ask - we put the SOP library inside an agentic assistant.

GenAI & LLMsRAGAI Agents

Ismail Mebsout•Apr 28, 2026

Aviation

A quality issue at 35,000 feet is a brand issue at ground level.

The catering arm of a global aviation group needed an early-warning system for in-flight food quality - we built it from the complaint stream they already had.

NLPApplied MLGenAI & LLMs

Ismail Mebsout•Apr 15, 2026

Aviation

Bury a flight plan under irrelevant NOTAMs and pilots stop reading it.

The flight operations function of a global carrier was buried in NOTAMs - we built the AI filter that gave the cockpit its signal back.

NLPApplied MLDocument AI

Ismail Mebsout•Apr 3, 2026

Banking

A credit proposal is twelve documents masquerading as one.

A global tier-1 corporate & investment bank wanted its analysts to spend time on judgment, not assembly - we built the agentic AI that handled the assembly.

GenAI & LLMsAI AgentsApplied ML

Ismail Mebsout•Mar 22, 2026

Banking

Two days of work hidden inside every annual statement.

A global tier-1 corporate & investment bank was paying senior analyst time to do data entry - we built the pipeline that gave them the hour they actually needed.

Document AINLPMLOps & Deployment

Ismail Mebsout•Mar 10, 2026

Public Sector

Strategic execution can't outpace the manual review behind it.

A national executive office in the GCC was bottlenecked by manual review - we built the AI recommendation layer that gave analysts a head start instead of a starting line.

Applied MLRecommendation SystemsGenAI & LLMs

Ismail Mebsout•Feb 25, 2026

Healthcare

The patient voice doesn't live in the clinical record.

A globally recognized oncology research institute wanted to hear what patients say when no clinician is listening - we built the social-listening pipeline that surfaced it.

NLPApplied MLDocument AI

Ismail Mebsout•Feb 12, 2026

Industry

Over-injecting expensive additives is what you do when you can't measure the right dose.

A multinational mining & metallurgy group was buying quality with excess additive cost - we built the AI that bought it with precision instead.

Applied MLPredictive MLMLOps & Deployment

Ismail Mebsout•Jan 28, 2026

Aviation

You can't optimize what you can't see - and an aircraft turnaround has too many moving parts to watch.

A leading European airport authority needed a structured view of every turnaround on its apron - we built it from the CCTV they already had.

Computer VisionApplied MLMLOps & Deployment

Ismail Mebsout•Jan 15, 2026

FMCG

Reactive churn management is a euphemism for losing customers slowly.

A global FMCG beverages player was watching high-value customers disappear without warning - we built the model that flagged them a month before they left.

Predictive MLApplied MLMLOps & Deployment

Ismail Mebsout•Dec 20, 2025

Case Studies

A five-language city outgrew the digital front door built for two.

At 120,000 employees, the HR intranet stops scaling.

A frontline agent shouldn't be scrolling through PDFs in front of a customer.

A quality issue at 35,000 feet is a brand issue at ground level.

Bury a flight plan under irrelevant NOTAMs and pilots stop reading it.

A credit proposal is twelve documents masquerading as one.

Two days of work hidden inside every annual statement.

Strategic execution can't outpace the manual review behind it.

The patient voice doesn't live in the clinical record.

Over-injecting expensive additives is what you do when you can't measure the right dose.

You can't optimize what you can't see - and an aircraft turnaround has too many moving parts to watch.

Reactive churn management is a euphemism for losing customers slowly.

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