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From 10 minutes down to just 30 seconds. ⏱️

That is the kind of transformation we recently delivered for a global tax leader. Their legacy calculation engine had hit a performance wall, limiting growth and requiring hundreds of hours of manual intervention.

At DGITAL Labs, we stepped in to rebuild their core system from the ground up.

The results?

🚀 95% reduction in tax return processing time.
📉 75% decrease in manual operational overhead.
☁️ 99.9% system uptime with a cloud-native, microservices architecture.

Transitioning from a legacy bottleneck to an automated platform became a business necessity, and not just a technical upgrade.

Read the full story of how we modernized this business-critical system: https://dgital.com/case-studies/building-business-critical-enterprise-tax-calculation-system

Building Business-Critical Enterprise Tax Calculation System A global tax firm modernized its outdated system with a scalable, automated cloud platform, reducing processing time by 95% and enabling business growth.

Örömmel osztjuk meg, hogy elindult a szoftverfejlesztési projektünk, amelynek célja a mesterséges intelligencia bevonása a légiközlekedést támogató rendszerekbe.
A projekt a Széchenyi Terv Plusz program és az Európai Unió társfinanszírozásával valósul meg.
👉 Részletek:

DGITAL | Elevate your Business Leading AI and tech transformation to elevate customer experience, boost revenue and cut cost. End-to-end software solutions working for you every day.

Big news! DGITAL is heading to Lisbon for the World Aviation Festival 2025

👉 Come meet our team at Booth 1-251

We'd love to connect, share ideas, and talk about the future of aviation. If you're attending, stop by and say hi, our team will be ready to welcome you!

How do you give a language model access to the right internal knowledge without drowning it in static documents?

We ran into this challenge while building AI-driven customer support and internal search tools. Our early approaches didn't scale, so we experimented with Retrieval-Augmented Generation (RAG), vector databases, and orchestration frameworks.

After testing multiple vector stores, we chose Azure AI Search for its hybrid retrieval, enterprise security, and Azure integration. Then we brought in Semantic Kernel to handle the orchestration, replacing our custom-built logic with a modular system.

The result: faster development, cleaner architecture, and AI assistants that can retrieve domain-specific knowledge on the fly.

In this post, we share the full story, the challenges we faced, and how we tackled them.

Unlocking Modern AI Search: How RAG, Vector Stores, and Semantic Kernel Power Smarter Systems Unlocking Modern AI Search: How RAG, Vector Stores, and Semantic Kernel Power Smarter Systems

We published the final part of our GitOps series at DGITAL Labs and this one brings everything together with a real-world implementation!

In this post, we share how we handle multiple environments with a Gitflow-like workflow and implement a deployment strategy that checks the environment state, deploys only what's changed, and gradually shifts traffic to new service versions with zero downtime.

It's a deep dive filled with practical takeaways, architecture decisions, and actual code.

👉 If you're building or refining your GitOps setup, this one's worth a look. Download the full whitepaper here: https://dgital.com/blog/2025/06/17/gitops-practical-implementation

GitOps - A Practical Implementation GitOps - A Practical Implementation

The DGITAL Labs team was proud to attend Business Fest Budapest conference. And even prouder to pose with the AI Robot of our new strategic partner, SwiconGroup 🤖

Together, we're exploring new frontiers in AI-powered innovation, automation, and digital transformation.
Exciting things ahead. Stay tuned!