ScienceSoft - Digital Success Provider

ScienceSoft - Digital Success Provider An international provider of AI transformation and software development services established in 1989.

ScienceSoft USA Corporation, doing business as ScienceSoft, is a trusted IT consulting and software development company founded in 1989. With 750+ tech experts, we help businesses across healthcare, financial services, and 30+ other industries grow through secure, high-quality software. We design and build custom digital solutions — from EHR and telehealth platforms to banking apps, data analytics tools, and enterprise systems. Our projects focus on reliability, compliance, and real results. Driven by our mission — “Driving project success, no matter what” — we combine deep domain knowledge, ISO-certified quality, and AI-powered innovation to help clients in 80+ countries achieve measurable success.

Early adopters of AI in insurance compliance report 30–60% faster risk review cycles and 20–40% lower compliance effort....
10/17/2026

Early adopters of AI in insurance compliance report 30–60% faster risk review cycles and 20–40% lower compliance effort.

🔍 But where should you start to achieve similar results, and which types of AI can actually deliver them?

ScienceSoft’s new guide explores:
🔹 High-value AI use cases across insurance compliance operations.
🔹 Where ML, GenAI, and agentic AI work best.
🔹 Practical implementation paths based on existing compliance bottlenecks.
🔹 Safeguards for building reliable, auditable, and regulation-ready AI solutions.

Check out the guide for ways to introduce compliance AI without creating unnecessary risks.

👉 https://www.scnsoft.com/insurance/artificial-intelligence/compliance-control

🤖 Imagine you set up an AI assistant to help your support agents handle customer requests faster, but its response draft...
10/16/2026

🤖 Imagine you set up an AI assistant to help your support agents handle customer requests faster, but its response drafts aren’t reliable enough for day-to-day work.

An imaging technology company turned to ScienceSoft with this exact challenge: improve response accuracy to make the AI assistant genuinely useful.

Instead of focusing on the language model alone, ScienceSoft optimized the AI workflow end to end. The team improved:
🔹 Knowledge ingestion and retrieval
🔹 The RAG-based response drafting pipeline
🔹 Rules for grounded, controlled response generation

The result: response accuracy increased from about 56% to 80%, and more than 85% of the AI assistant’s draft replies are now accepted by support agents as is or with no more than 20% editing.

🔗 See the full project: https://tinyurl.com/mv6afau6

🤖 How do you get AI into complex specialty underwriting without rebuilding existing tools, increasing operational risks...
10/13/2026

🤖 How do you get AI into complex specialty underwriting without rebuilding existing tools, increasing operational risks, or complicating regulatory compliance?

That's the challenge a US specialty insurance underwriter brought to ScienceSoft.

Together, we designed an AI underwriting solution that would work alongside the company's existing systems and help:
🔹 Extract and validate data from specialized documents.
🔹 Summarize risks and find comparable historical cases.
🔹 Generate underwriting recommendations and draft communications.
🔹 Keep critical underwriting decisions in human hands.

👉 Explore the case study to see how we approached AI accuracy, transparency, controlled autonomy, and integration with existing workflows.
🔗 https://www.scnsoft.com/insurance/case-studies/underwriting-ai-solution-design-for-a-us-insurance-brokerage

Speeding up insurance policy administration doesn't have to require overhauling your PAS or pushing brand-new AI across ...
10/13/2026

Speeding up insurance policy administration doesn't have to require overhauling your PAS or pushing brand-new AI across the entire process.
Sometimes, something as simple as extending policy self-service or tuning the policy database can bring big – and quick – speed gains. 🚀

ScienceSoft's recent guide explores common policy administration bottlenecks and practical ways to speed things up without unnecessary investments.
💡 Check it out to see which improvements could deliver the most value for your policy operations: https://www.scnsoft.com/insurance/how-to-reduce-policy-administration-timelines

🚀 ScienceSoft will be attending Global Health Exhibition 2026 in Riyadh on October 26–29. This year, our conversations w...
10/06/2026

🚀 ScienceSoft will be attending Global Health Exhibition 2026 in Riyadh on October 26–29.

This year, our conversations will focus on a question many healthcare organizations are working through: how to move from promising AI pilots to AI-enabled workflows that deliver measurable clinical, operational, or financial value.

Representing ScienceSoft at the event will be Hadeel Abu Baker, Senior Healthcare IT & AI Consultant, and Sergey Tatarinov, Transformation Director.

They’ll be available to exchange perspectives on:

🔹 Identifying AI use cases with clear business or clinical value
🔹 Assessing workflow, system, and data readiness for AI
🔹 Integrating AI into existing environments
🔹 Establishing appropriate governance and human oversight
🔹 Scaling successful pilots without creating a patchwork of disconnected solutions

If you’re also heading to Riyadh, read more about our focus for the event and how to connect with the ScienceSoft team: https://bit.ly/4hIxa4d

🩺 AI scribes for ambient clinical documentation are among the most widely adopted AI use cases in healthcare today. In o...
10/06/2026

🩺 AI scribes for ambient clinical documentation are among the most widely adopted AI use cases in healthcare today.

In our new article, ScienceSoft’s healthcare IT architects break down:
🧭 The main AI scribe adoption approaches.
🧩 When a customized solution makes sense.
🛡️ Key architecture and safety decisions.
📈 How to monitor and improve scribe quality after launch.
💰 What a customized AI scribe can cost.

Explore the full article: https://www.scnsoft.com/healthcare/artificial-intelligence/medical-scribe

Better microchips are expanding what’s possible with AI. But how quickly can regulated sectors turn that potential into ...
10/06/2026

Better microchips are expanding what’s possible with AI. But how quickly can regulated sectors turn that potential into real transformation? 🤖

ScienceSoft CEO Nick Kurayev discussed this question with SemiWiki founder Daniel Nenni, looking at AI transformation through the lens of healthcare, insurance, and investment management.

🔍 The discussion explores the opportunities and hurdles of AI adoption in regulated environments and the role advances in chip technology play in AI’s capabilities and economics.

📖 Read more: https://www.scnsoft.com/press-room/pressreleases/80460_2026-ceo-interview-semiwiki

📈 Healthcare AI is widespread, but proof of value lags. Health systems are starting to buy dedicated AI governance softw...
10/01/2026

📈 Healthcare AI is widespread, but proof of value lags. Health systems are starting to buy dedicated AI governance software.

🔹 More than 90% of surveyed health systems had deployed third-party AI, while nearly a third had not started measuring its value.

🔹 78% of surveyed healthcare leaders had AI or ML in sustained production, but only 19% had comprehensive AI governance controls.

🔹 A consortium of 12 US health systems is validating diagnostic AI and developing shared practices.

Our take: The consortium’s most valuable result may be a validation method another hospital can repeat, not specific AI tool accuracy data.

📖 More analysis and expert commentary in our Q3 2026 healthcare AI trends: https://www.scnsoft.com/healthcare/healthcare-ai-trends

🏥 The hospital stay no longer defines the hospital. Over the past two decades, more US hospital care has moved beyond th...
09/28/2026

🏥 The hospital stay no longer defines the hospital.

Over the past two decades, more US hospital care has moved beyond the inpatient setting. That shift is now visible across several parts of the system.

In the recent analysis, ScienceSoft’s healthcare consulting and analytics teams look at the trends reshaping the hospital model in 2026:
📉 Inpatient stays are down.
📈 Outpatient encounters are up.
🌾 Rural hospitals are giving up inpatient care to at least keep emergency and outpatient services available locally.
💻 Telehealth has settled into a lasting role after its pandemic-era peak.

Explore what these changes mean for clinical operations and patient care.

👉 Read the full analysis: https://bit.ly/3Td5kox

🤖 Insurance fraud gets smarter with AI. Fraud detection needs to get smarter, too.ScienceSoft’s new guide takes a practi...
09/18/2026

🤖 Insurance fraud gets smarter with AI. Fraud detection needs to get smarter, too.

ScienceSoft’s new guide takes a practical look at how AI can strengthen insurance fraud detection, and what implementing it can realistically involve:
🔹 ML, GenAI, and agentic AI use cases across fraud detection and investigation.
🔹 Practical implementation paths for different levels of AI maturity.
🔹 Agentic AI workflows and human oversight mechanisms.
🔹 Key integrations and engineering best practices.
🔹 Indicative implementation timelines and costs.

Read the guide: https://www.scnsoft.com/insurance/artificial-intelligence/fraud-detection

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