Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
A global leader in energy, infrastructure, and industrial solutions operating in 60 countries with 34+ industrial facilities and exports to more than 110 countries, built over more than 80 years.
Manual processes across HR, legal, and finance required large teams and slow turnaround times: legal document review took 3 hours per document with 8...
“الذكاء الاصطناعي بالنسبة لنا ليس مشروعًا تجريبيًا، وإنما جزء أصيل من استراتيجية العمل، حيث نربط كل مبادرة بأهداف واضحة تشمل زيادة الإيرادات ورفع الكفاءة التشغيلية وخفض التكاليف وتحسين تجربة العملاء، مع قياس العائد على الاستثمار لكل مشروع قبل تنفيذه.”
Also reported by
Manufacturer of cables, electrical products, and energy infrastructure solutions.
Elsewedy Electric's Process automation is part of this use case:
Related implementations across industries and use cases
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
A global leader in energy, infrastructure, and industrial solutions operating in 60 countries with 34+ industrial facilities and exports to more than 110 countries, built over more than 80 years.
Manual processes across HR, legal, and finance required large teams and slow turnaround times: legal document review took 3 hours per document with 8...
“الذكاء الاصطناعي بالنسبة لنا ليس مشروعًا تجريبيًا، وإنما جزء أصيل من استراتيجية العمل، حيث نربط كل مبادرة بأهداف واضحة تشمل زيادة الإيرادات ورفع الكفاءة التشغيلية وخفض التكاليف وتحسين تجربة العملاء، مع قياس العائد على الاستثمار لكل مشروع قبل تنفيذه.”
Also reported by
Manufacturer of cables, electrical products, and energy infrastructure solutions.
Elsewedy Electric's Process automation is part of this use case:
Related implementations across industries and use cases
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.