Agentic AI rewrites insurance underwriting: See how it works
With AI, insurance underwriting evolves – and insurers can choose to manage the decisions of their AI agents.
Tag: AI agents
Agentic AI for insurance underwriting: The what, why and how
With strong governance, data quality and thoughtful integration, agentic AI can transform insurance underwriting.
Tech takes: Jared Peterson on LLMs, agentic AI and low-code/no-code
Ever feel like tech headlines are coming at you faster than your morning coffee kicks in? One minute it’s LLMs, the next it’s agentic AI, and suddenly your spreadsheet wants to talk back. In a world where innovation never hits pause, SAS isn’t just watching the change; we’re part of the
What’s in a decision?: Four components needed to operationalize your analytics
Every organization collects data, but collecting it isn’t enough. For companies that want to make personalized offers, detect fraud and optimize supply chains, decision-making is the ultimate measure of analytics success. But despite massive investments in data infrastructure and AI, many companies still struggle to bridge the gap between insight and action. That’s
AI can make fast decisions – but can you trust them?
Every day, AI is making choices that shape lives, industries and the future. But can we trust those choices? Organizations are making huge investments in AI, and it’s changing how decisions are made. But without clear results and proven value, investing in these technologies may be a failure. In fact,
Enterprise tech trends SMBs can’t afford to ignore
The future is already here and somehow, it keeps accelerating. Small to midsize businesses (SMBs), in particular, are feeling all the effects of this in real time. From shifting customer demands to tightening budgets and fiercer competition, SMBs are navigating more change than ever. Technology can be a powerful growth
Building trustworthy AI agents with SAS Viya
AI agents take on more responsibility in our most sensitive systems – from finance to public safety to health care – one thing is clear: trust can’t just be designed in. It has to be sustained. Continuously. In the first two parts of this series, we explored the ethical foundations
Starting your AI journey: The groundwork
AI is transforming every industry, from automating insurance claims to optimizing supply chains in manufacturing. But for many organizations, the challenge isn’t whether to adopt AI; it’s how to start. This blog, the first in a two-part series, outlines the initial steps you can take to deliver a strong foundation for
Your questions answered: How to succeed in generative AI using LLMOps and agents
This guide explains how businesses can successfully implement generative AI by focusing on narrow use cases, curating data, leveraging AI agents, safeguarding sensitive information, monitoring for bias and toxicity, and ensuring model accuracy and relevancy.
The inflection point for our lifetime – autonomous AI
Back in the 80s and 90s, life was simple. Kids roamed the neighborhood. Parents didn’t track them with GPS. Commercials interrupted your TV shows and you watched them. If you wanted to know if Ross and Rachel got back together, you waited – patiently – for the next episode. Research
The hard part of agentic AI: Designing for trust
Agentic AI is more than just the next step in automation. It’s a shift toward systems that don’t just respond to commands – they reason, decide and act with a blend of analytics and embedded governance. This is the second blog post in a series exploring how to design AI
Using GenAI and AI agents to combat AI-generated fraud
Many of today’s fraudsters are figuring out how to use AI to automate and structure scams that are unique to each person they target. If fraudsters can analyze your data, learn your patterns, track your interests, and exploit who you trust – how can you combat them? According to SAS
Agentic AI at your service: A real-world look at frictionless banking
I’m a credit card transactor – I pay off my balance in full each month and use credit purely as a payment method to avoid interest. Recently, a major payment processor experienced an outage that disrupted many money movement services. As a result, my scheduled electronic payment was converted into
Building a foundation for agentic AI success with SAS Viya
Call it what you want – an arms race, a land grab, a gold rush – but AI is now the centerpiece of most business strategies. Executives aren’t just curious about AI anymore; they are positioning their organizations for the technology's future. The problem? Most organizations aren’t ready. Even as
SAS Innovate: The real AI advantage? It’s not what you think
Ask most people what gives AI its edge and they'll likely point to speed, automation or the aura of generative AI tools. But according to experts at SAS Innovate 2025, AI's real competitive advantage isn’t the algorithm – it’s the ability to use it responsibly to make trusted, faster, better decisions. As
From weeks to minutes: How a data mapper agent can change the game
What if integrating your data for AI didn’t take weeks or months – but happened in minutes, without ever moving your data at all? That’s the vision guiding the development of a new data mapping agent at SAS. It’s not just a feature – it’s a potential shift in how
4 core insurance functions primed to benefit from agentic AI
Agentic AI in insurance has potential to transform insurance. Read four use cases.
Building trust: A principled approach to ethical AI agent development
AI agents are no longer confined to labs and prototypes. They’re shaping how we live, work and make decisions. From customer service bots and self-driving cars to robotic surgical assistants and virtual companions, these systems now influence real outcomes in society. This is the first blog post in a series
Threat modeling for agentic systems
As agentic AI systems evolve through protocols like MCP and A2A, traditional security practices must be adapted to address new risks such as goal misalignment and tool instruction abuse. This article explores practical threat modeling strategies, including goal alignment cascades and distinguishing between parameter-only vs. instruction-enabled tool calls.
Accelerating value from health care data with ready-made AI models
The health care industry has more data than it can utilize in meaningful decision-support capabilities. Whether it is the volume, the velocity, or the variety of the data, wrangling insights from this incessant stream is a never-ending and complex task. Enter the age of AI, where an agent can synthesize
Beyond the black box: How agentic AI is redefining explainability
Navigating the interpretability paradox of autonomous AI: Can we maintain trust and transparency without sacrificing performance? AI has rapidly evolved from simple, rule-based systems into sophisticated autonomous agents capable of making decisions without direct human oversight. These advanced systems, known as "agentic AI," go beyond basic automation to independently sense
AI agents are here, but how autonomous should they be?
AI has been largely reactive for years: following human commands, assisting with tasks and providing insights based on predefined rules. But 2025 is shaping up to be the year of agentic AI, where AI agents exist to not just respond to human input but act independently. In the movie I, Robot, there's
AI agent governance: The new frontier of trustworthy AI
As AI agents gain autonomy, who governs their actions? How do we ensure they align with human values, ethical standards, and legal frameworks? The urgency of governance for AI agents AI is no longer just a tool – it is becoming an actor in decision-making processes. From AI research assistants
Understanding the components of an AI agent: A five-step life cycle
AI agents are the tech trend of the moment. It is promising to reshape industries, streamline operations, enhance customer experiences and drive smarter decision-making in ways we couldn’t have imagined just a few years ago. As businesses, leaders, and innovators, it’s vital to understand how these systems actually function, not
Why decision intelligence matters more in the age of AI agents
As AI agents gain autonomy, the ability to make informed, strategic decisions – at scale – becomes mission-critical. AI has evolved rapidly. We started with rule-based automation and then moved to machine learning models. Then 2023 was the year of ChatGPT, and 2024 was the year of multi-modal AI. We’re now
Modern governments will use AI for a smarter future workforce
The critical link between skills, productivity and AI in the public sector Fifteen years ago, I would not have believed that my office would be phone-free or that meetings would be virtual, even with nearby colleagues. Today’s work environment would have seemed impossible back then. And as we look to