AI Implementation
AI implementation
AI implementation
Transforming Business Operations with AI
Through targeted internal AI Hackathons, we have successfully scaled our AI capabilities. Over 50 team members are now proficient in AI-driven development, ready to implement these advanced methodologies across our project teams.
What We Can Do for You with AI
Instant Answers from Your Internal Knowledge
Teams waste hours searching manuals, regulations, and FAQs. We build AI assistants that surface the right answer instantly from your own documents, cutting search time by up to 50% and reducing repeat questions to your experts.
Automate the Repetitive, Free Your Team for High-Value Work
We use AI to take over routine, rule-based tasks so your people can focus on creative and strategic work. In our own operations, this removed up to 40% of manual work per month.
Lower-Effort, Higher-Reliability Infrastructure
We apply AI to monitoring and routine infrastructure management, minimizing manual effort and reducing the risk of human error —keeping your systems stable while saving operational time.
Faster, Safer Development
We embed AI into our development and security workflow to ship features faster while strengthening security, delivering more reliable systems with fewer defects reaching production.
Practical Experiences in AI Application
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01 — Accelerated Legacy Modernization (Laravel Upgrade)
Challenge: A major Laravel version upgrade risked long downtime and high engineering cost.
Our approach: We used AI to assist code migration, refactoring, and impact analysis.
Result: Cut the upgrade effort by approximately 80% / 28 weeks → 8 weeks, with development speed measurably improved.
01 — Accelerated Legacy Modernization (Laravel Upgrade)
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02 — Higher Code Quality & Security (Quality Gate)
Challenge: Maintaining consistent security and code quality across projects.
Our approach: We standardized automated security and quality checks using SonarQube as a quality gate in our pipeline.
Result: Reduced critical issues found in later stages and raised first-pass code quality.
02 — Higher Code Quality & Security (Quality Gate)
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03 — AI Chatbot that Cut Support Workload (Bamawl HR)
Challenge: Customer support for our Bamawl HR product consumed significant staff hours.
Our approach: We integrated an AI assistant chatbot to handle common inquiries automatically.
Result: Reduced support man-hours by approximately 80% and improved response times for users.
03 — AI Chatbot that Cut Support Workload (Bamawl HR)
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04 — AI Across the Full Development Lifecycle
Challenge: Improving speed and quality across the entire SDLC, not just coding.
Our approach: We applied AI to requirements documentation, system design, code review, and test-case generation.
Result: Shortened overall delivery time by about 40% while improving review coverage and reducing defects.
04 — AI Across the Full Development Lifecycle
