Azati

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: Every insurance carrier wants AI in claims, underwriting, and back-office. Few want to touch the 15-year-old PHP syst...
12/05/2026

: Every insurance carrier wants AI in claims, underwriting, and back-office. Few want to touch the 15-year-old PHP system that runs accounting for 30M members. So they wait. Or they buy a standalone AI tool that doesn't talk to anything. Or they greenlight a "strategic rewrite" that quietly dies in year two. There's a third path – and it's how a US insurance carrier with 100+ affinity groups got to zero downtime, modern security, and an AI-ready foundation without rewriting a single core workflow.
https://azati.ai/portfolio/legacy-accounting-app-and-php-modernization/

How to modernize a legacy PHP insurance app: accounting software reverse-engineering, upgrade without rewrite & downtime. Fast value, easy support by Azati

BLAST is the gold standard for biological sequence search, but when it comes to patents, it falls short.Why doesn’t a to...
06/04/2026

BLAST is the gold standard for biological sequence search, but when it comes to patents, it falls short.

Why doesn’t a tool used by scientists worldwide answer a simple IP question like: “Is this sequence at least 95% identical?”

In this article, our Lead Software Developer shares his expert insight on how we extended BLAST to meet real patent search needs, eliminating manual filtering, reducing errors, and improving result completeness.

From fragment detection to variant identification, we break down real-world scenarios and show how it works in practice.

👉 Read the full article:

Standard NCBI BLAST wasn't built for patent search. Azati extended BLAST+ with percent identity and coverage filters for IP professionals, covering fragment detection, variant identification, and full-sequence containment.

You ship faster. Way faster.AI helps you write code in minutes. Everything feels smooth, until a few weeks later, when s...
26/03/2026

You ship faster. Way faster.

AI helps you write code in minutes. Everything feels smooth, until a few weeks later, when small issues start piling up. Then bigger ones.

This article puts a name to it: “vibe coding” without code review, and the hidden cost behind that speed.

A very relatable read for anyone building with AI today:
👉 https://azati.ai/blog/vibe-coding-hidden-cost-without-code-review/

Curious if this sounds familiar to your experience?

Discover the hidden costs of vibe coding without code review. Learn about AI-generated code risks, code review best practices, technical debt management, and software quality assurance strategies for 2026.

Most AI initiatives don't fail because of the technology. They fail because of what happens after go-live.No one owns ac...
11/03/2026

Most AI initiatives don't fail because of the technology. They fail because of what happens after go-live.

No one owns accuracy. No one monitors drift. Compute costs spiral. The model that performed brilliantly at launch quietly becomes a liability by month six.

🔍 Gartner projects $2.52 trillion in AI spending in 2026. Yet most organizations are still treating AI as a technology project, not an operating model. The difference is everything.

An operating model means someone is accountable for the system's performance on an ongoing basis. For retraining when data shifts. For optimizing costs as usage scales. For maintaining governance when regulators ask questions.

At Azati, we work with financial institutions, insurers, and enterprise operations teams who've already made the initial AI investment and need a partner who takes operational ownership, not just delivery ownership.

We've written up our full framework: how we assess current-state operations, redesign processes around AI, and run the system in production under SLA. 👇

If you're evaluating how to move from AI experimentation to AI-run operations, this is worth 10 minutes.

https://azati.ai/blog/managed-ai-services-operating-model/

Transform your business with managed AI services from Azati. Expert AI business transformation, enterprise AI implementation, and AI operating model consulting that turns AI from experiments into operational advantage.

Your competitors are implementing GenAI. So are you. So is everyone.Here's the uncomfortable truth: 79% of companies rep...
19/02/2026

Your competitors are implementing GenAI. So are you. So is everyone.

Here's the uncomfortable truth: 79% of companies report rivals are making the same AI investments, yet only 23% believe they're building any real advantage.

So who actually wins in a world where everyone has access to the same models?

It turns out the "moat" most executives are building... isn't one. Using the latest GPT version, optimizing prompts, being first in your industry, none of these create defensible advantage. Competitors can replicate your exact setup within days.

The organizations pulling ahead aren't racing to adopt new models. They're doing something completely different, and the window to do it is closing faster than most realize.

We broke down exactly where sustainable GenAI competitive advantage comes from, what destroys it (common mistakes most companies are already making), and a strategic framework to assess your own position.

Worth a read if you're an executive making AI investment decisions right now.

👉 Read the full article: https://azati.ai/blog/generative-ai-competitive-advantage-real-moat/

Strategic analysis of where real competitive advantage in generative AI comes from, separating defensible AI moats like proprietary data and network effects from easily replicated GenAI capabilities.

Generative AI is no longer a nice-to-have. It’s a strategic differentiator.Most companies are already “using” GenAI.Few ...
11/02/2026

Generative AI is no longer a nice-to-have. It’s a strategic differentiator.

Most companies are already “using” GenAI.
Few are turning it into real competitive advantage.

Pilots, productivity tools, and scattered use cases may look like progress, but they don’t build moats. While many teams experiment, leaders are embedding GenAI into their core business models, data assets, and operating processes.

This article breaks down:
- why most GenAI initiatives fall short,
- what separates tools from true strategic capability,
- and how executives can avoid being outpaced by more strategic competitors.

If GenAI is still treated as an add-on in your organization, the strategic gap is already forming.

👉 Full read:
https://azati.ai/blog/generative-ai-strategic-capability-executive-guide/

Transform generative AI from experimental tools into strategic capability. Executive guide to GenAI strategy, enterprise implementation, competitive advantage, and organizational transformation.

Pharma marketing has a data problem. Too much feedback. Not enough clarity.Doctors share invaluable insights every day: ...
29/01/2026

Pharma marketing has a data problem. Too much feedback. Not enough clarity.

Doctors share invaluable insights every day: about products, safety, effectiveness.

But most of that knowledge gets lost in unstructured surveys and interview notes.

We fixed this for a global Life Sciences company.

💡 Our AI & NLP solution automatically analyzed doctors’ responses and turned them into clear, actionable reports for marketing teams.

Results that matter:
✔️ 95% coverage of key phrases
✔️ 50+ real, usable market insights
✔️ +45% improvement in campaign targeting

What’s inside:

- Medical-grade NLP (not generic chatbots)
- Accurate speech-to-text for doctor interviews
- Sentiment & topic analysis
- Easy-to-read reports for executives and non-technical teams

No more guessing what doctors think. No more waiting weeks for analysis.
https://azati.ai/portfolio/nlp-solution-for-pharmaceutical-marketing/

🚀 If your pharma marketing decisions depend on HCP feedback, we can help you unlock its full value.

📩 Message us or book a free consultation.
https://azati.ai/contact/

AI-powered NLP solution for pharmaceutical marketing automates analysis of medical questionnaires, delivering actionable insights and sentiment reports to boost strategy.

🚨 Expert Systems Are Back And They’re Beating AI at Its Own Game in 2026For years, expert systems were considered obsole...
22/01/2026

🚨 Expert Systems Are Back And They’re Beating AI at Its Own Game in 2026

For years, expert systems were considered obsolete. Rule-based. Rigid. Dead.
That assumption is now dangerously outdated.

In healthcare, finance, manufacturing, and legal tech, modern expert systems combined with AI are outperforming human specialists and even pure machine-learning models in high-stakes decisions.

- 94-97% diagnostic accuracy in oncology;
- Decisions 1,000x faster than humans;
- Explainable reasoning regulators actually trust.

So here’s the uncomfortable question:
👉 When should you use AI and when is an expert system the smarter choice?

In our 2026 Complete Guide, we break down:
- The real difference between Expert Systems and AI (no hype);
- Why expert systems are making a serious comeback;
- Where AI fails and expert systems win;
- How hybrid systems are reshaping healthcare, finance, and industry;
- What it takes to build modern expert systems in 2026.

If you’re building AI products, leading digital transformation, or making technology decisions that must be accurate, explainable, and scalable this is a must-read.

👉 Read the full guide here
https://azati.ai/blog/ai-vs-expert-systems/

Discover the difference between AI and expert systems in 2026. Learn how artificial intelligence and expert systems work together, their benefits, and real-world applications from intelligent experts.

🏆 AI Is Changing Sports Data. Are You Keeping Up?What if managing massive sports data didn’t require massive effort?We’v...
13/01/2026

🏆 AI Is Changing Sports Data. Are You Keeping Up?

What if managing massive sports data didn’t require massive effort?

We’ve built an AI-powered sports data management solution that helps teams, leagues, and organizations:

- Automate data processing;
- Get real-time insights;
- Reduce manual work;
- Make smarter, faster decisions.

This isn’t theory - it’s a real, working AI system already transforming how sports data is handled.

👉 See the full case study and product details here:

🔗 https://azati.ai/portfolio/ai-sports-data-management/

If you’re working in sports tech, analytics, or digital transformation, this is a must-read.

AI-powered platform for centralized sports data ingestion, normalization, governance, and analytics, enabling accurate athlete and event data management for the Sport Organization ecosystem.

From hyper-personalized journeys to real-time support and predictive insights, AI is redefining how brands interact with...
08/01/2026

From hyper-personalized journeys to real-time support and predictive insights, AI is redefining how brands interact with customers at every touchpoint.

👉 In this article, we break down:
• How AI is transforming customer experience today;
• Real use cases across industries;
• What companies should do now to stay ahead.

If you’re working on CX, digital transformation, or product strategy, this is a must-read.

🔗 Read the full article:
https://azati.ai/blog/ai-customer-experience/

Discover how AI in customer experience transforms CX in 2026. Learn AI customer support, predictive analytics for CX, sentiment analysis AI, and emotion recognition AI strategies.

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Hoża 86/410
Warsaw
00-682

Godziny Otwarcia

Poniedziałek 09:30 - 18:30
Wtorek 09:30 - 18:30
Środa 09:30 - 18:30
Czwartek 09:30 - 18:30
Piątek 09:30 - 18:30
Sobota 09:30 - 18:30
Niedziela 09:30 - 18:30

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