ScienceSoft - Digital Success Provider

10/26/2026

🤖 How can insurers introduce agentic AI into P&C claims while keeping risks under control?
ScienceSoft tackled this challenge when helping a US P&C insurer design a practical, risk-aware approach to agentic claims automation. 🚀

The proposed solution brings together specialized AI agents to:
🔹 Automate claims intake, validation, and eligibility assessment.
🔹 Coordinate claim processing and repair scheduling.
🔹 Apply rule-based and human guardrails to keep AI decisions in check.

Explore the case study to see how we approached solution design and implementation planning to enable reliable agent work and deliver measurable business value: 🔗 https://www.scnsoft.com/insurance/case-studies/agentic-ai-solution-for-p-c-insurance-claims-automation

10/26/2026

🤖 Agentic AI is attracting a lot of attention in P&C insurance policy servicing, but many carriers still aren't sure where or how to get started.

Vital Soupel, Senior Insurance IT & AI Consultant at ScienceSoft, shared his perspective on where the biggest opportunities lie and how to approach the first implementation in a three-part article series on Insurance Nerds.

The series explores:
🔹 Where agentic AI fits: Which policy servicing workflows are good candidates for agentic automation, which are better left for later, and why starting small makes sense.
🔹 How to implement it responsibly: Best practices for building controlled agentic workflows with appropriate safeguards and human oversight.
🔹 What it takes to get started: How to build a business case, estimate implementation timelines and costs, and identify opportunities for early value.

👉 Start with Part 1: https://insnerds.com/insights/agentic-ai-in-policy-servicing-part-1-where-it-fits-and-where-it-does-not

10/23/2026

🎥 From sorting incoming claims to spotting fraud, AI is changing how insurers work. Olga Vinichuk explains what it can handle, which decisions still need people, and what can make an AI project in claims processing succeed or fail.
▶️ Watch the interview:

Olga Vinichuk, Insurance IT & AI Consultant at ScienceSoft, explore...

10/22/2026

🚨 Insurance AI deployment is surging. But is the business value keeping up?

ScienceSoft has just released its Q3 2026 Insurance AI Trend Watch, highlighting a striking disconnect between the industry's AI ambitions and the realities of adoption.

What do the latest figures reveal about agentic AI, real-world scaling, and ROI? And what should insurance organizations and insurtech vendors expect next?

🔎 Get a first look at the key findings: https://www.scnsoft.com/insurance/news/80787_2026-q3-insurance-ai-trend-watch

10/22/2026

💡 What does it take to turn an idea for better rehab care into a connected solution?
Meet AcuFlex, the first connected rehab platform, featuring real-time flexibility tracking and injury risk analytics. In our video interview, SAE Orthopedics and ScienceSoft share how they brought the vision to life, the challenges they tackled, and how feedback from clinicians at AAOS 2026 is shaping what comes next.

🎥Watch:

10/21/2026

📊 Q3 2026 Insurance AI Trends — Agentic AI Adoption Surges, Organizational Change Lags

Through Q3 2026, insurance organizations stepped up AI deployment, moving AI agents beyond pilots and expanding GenAI across core operations. 🚀 Yet ROI remained hard to measure, and organizational change lagged behind AI adoption.

Based on ScienceSoft's Q3 2026 Insurance AI Market Watch and recent consulting work, we analyzed the trends shaping AI adoption across the insurance industry.

📌 What stood out most:
• Agentic AI is moving from pilots to production, with insurers increasingly building proprietary AI foundations to support autonomous workflows.
• Generative AI remains the most widely deployed AI technology, with notable new applications in coverage analysis, quoting, and underwriting.
• AI investments continue to grow, but financial returns remain difficult to measure, and reliable ROI benchmarks are still scarce.
• AI-focused organizational transformation – workflow redesign, workforce readiness, and AI governance – is struggling to keep pace with adoption.

🔎 Our key takeaway: AI deployment alone is no longer a differentiator. Organizations need to redesign workflows around AI, strengthen governance, and establish clear ROI metrics to scale AI effectively.

📖 Read the full Q3 trend watch here: https://www.scnsoft.com/insurance/insurance-ai-trends

📥 Need data or expert commentary for your story? Reach out to our team: https://www.scnsoft.com/press-room

👉 As agentic AI gains momentum, what do you see as the biggest challenge for insurers: proving ROI, modernizing workflows, or preparing their workforce?

10/20/2026

📢 New case study! Making workers’ compensation claims reviews faster and smarter with AI 🤖

For insurance agencies, reviewing workers’ compensation claims often means spending hours manually collecting, consolidating, and analyzing data from multiple carriers and third-party administrators.

ScienceSoft helped a US insurance agency design an AI-powered automation platform to streamline these workflows. 🚀

The proposed solution combines generative AI and rule-based automation to:
🔹 Gather and unify claims data from multiple sources
🔹 Triage claims and monitor critical deadlines
🔹 Extract key information from claim documents
🔹 Generate review summaries and support claims analysis

🔎 Read the case study to see how ScienceSoft approached accuracy, transparency, and AI autonomy controls in claims automation: https://www.scnsoft.com/insurance/case-studies/ai-powered-solution-for-workers-compensation-claims-review

10/20/2026

🩻🤖 Can AI ease radiologists’ workload?

Radiologists spend significant time on repetitive measurements, prioritizing studies, preparing reports, and managing follow-up.

Our new article explores how AI can support these workflows without taking clinical decisions out of radiologists’ hands.

✅ Where AI can save time
✅ How it can fit into existing radiology workflows
✅ How to reduce alert fatigue and monitor performance
✅ How to avoid unnecessary vendor lock-in
✅ What implementation may cost

📘 Explore the article: https://tinyurl.com/v4scnkkf

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

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