Shirley Yeung
FWD Insurance
FWD Insurance customer storyWith Alteryx One, teams can quickly move from question to outcome using plain language, AI- guided workflows, and governed automation in one place.
Data is connected, prepared, and explored using AI-guided analytics that combine natural language processing with visual, drag-and-drop workflows across structured and unstructured data
AI and machine learning support pattern discovery, predictive modeling, and scenario testing within the same analytic workflows
AI-driven insight delivery surfaces key patterns and drivers and translates results into clear, business-ready insights
AI-ready outputs flow to your organization’s cloud data platform and approved large language models, maintaining enterprise governance
To deliver insights with AI, teams need access to the right data without moving it, replicating it, or losing governance. Alteryx One connects natively to cloud platforms, enterprise apps, and on-prem systems so AI-driven workflows can run securely and efficiently across your existing tech stack.
AI-ready workflows can run directly on Snowflake, Databricks, BigQuery, Redshift, and others.
Analyze data from SAP, Salesforce, Workday, and ServiceNow without manual exports.
Pull from SQL Server, Oracle, spreadsheets, or flat files in place and on demand.
Apply AI-assisted analysis without re-platforming legacy systems.
Enhancing analytic workflows with AI changes how teams approach their work. Instead of manually preparing data or building one-off models, analysts use AI to build workflows and predictive models to deliver repeatable insights faster, with less manual effort.
AI-driven insights are only as strong as the data behind them. Alteryx One helps analysts ensure that data is accurate, complete, and aligned with business logic before models run or outputs are shared. With built-in data profiling, validation rules, and lineage tracking, teams can catch issues early, reduce rework, and maintain consistency across workflows. These controls also help prevent downstream drift — keeping insights aligned with current data and business priorities.
With AI capabilities like natural language workflow building, native connection to LLMs, machine learning, and automated insights, analysts can embed thresholds, policies, and operational context directly into analytics workflows. These capabilities let teams define the rules and exceptions that matter to the business, so models reflect pricing policies, approval thresholds, regional variations, and other real-world factors that shape decisions.
Alteryx One makes it easy to bring AI into existing workflows and connect to your approved LLMS. Insights arrive through familiar tools like dashboards, email, or business applications, so teams don’t need to learn new systems or change how they work.
Alteryx One is built to meet enterprise requirements for security, governance, compliance, and transparency. Organizations rely on the platform to run analytics at scale while maintaining control, compliance, and auditability.
Integrating AI-enhanced capabilities into daily workflows enhances how teams operate. Instead of building models manually or generating reports from scratch, analysts use embedded capabilities that streamline tasks and improve consistency across the business.
accelerate onboarding and workflow creation, helping analysts build and transform data through simple prompts with less setup and navigation
enable advanced logic directly in workflows, improving data quality and reducing reliance on dedicated data science resources
replace manual slide creation and ad hoc explanations with consistent, business-ready outputs
manage access, security, and use across Alteryx One, supporting enterprise governance as AI becomes standard
This shift turns analytics into a continuous, governed process that accelerates decisions and reduces reliance on custom workarounds or siloed teams.
Alteryx became the backbone of how we modernized finance. It turned data into a shared language across teams and positioned us for AI and advanced analytics.
Scaling AI analytics across an organization requires a shared foundation that keeps workflows consistent, accessible, and aligned to the business.
With this foundation in place, teams can scale AI confidently while keeping workflows aligned with evolving business goals.
Most analytics tools treat AI as an add-on — requiring separate systems, custom integrations, or data science resources. Alteryx One takes a different approach:
This model shortens the gap between raw data and operational outcomes — and makes AI usable, not just impressive.
Most AI projects struggle to scale due to issues like tool fragmentation, limited adoption, and lack of oversight. Alteryx One is designed to support long-term AI success by:
This approach helps organizations avoid pilot fatigue and build AI into everyday work — not just one-off experiments.
Beyond accurate outputs, enterprise teams need to understand how results were generated. Alteryx One supports explainable AI by:
This makes it easier to validate decisions, share findings with stakeholders, and meet internal or regulatory review requirements.