With Alteryx One, teams engage with generative AI directly inside the workflows they already trust, not as a separate tool.
Across the analytics lifecycle, AI assists teams at each stage of work:
Users receive natural language guidance and suggestions for the next step or tool directly on the workflow canvas.
AI can automatically describe what a workflow is doing, helping teams document processes, support audit requirements, and quickly understand complex workflows.
AI generates stakeholder-ready reports with natural language summaries and intuitive visualizations that explain business results.
AI-generated outputs scale across workflows with built-in governance, permissions, and audit controls enforced by the platform.
Together, these capabilities make analytics faster, easier to understand, and simpler to automate, embedding AI across the entire analytics lifecycle.
Generative AI operates directly inside the data-to-decision workflow in Alteryx One. LLMs run within governed analytics pipelines, enabling teams to generate explainable results without managing model complexity.
Data routing and AI output are fully embedded. The platform moves structured and unstructured data through governed pipelines, applies business logic, and invokes enterprise-approved LLMs where outputs such as summaries, recommendations, or workflow documentation are required.
AI activates directly within the analytics workflow to generate and explain results as work happens:
These capabilities make AI scalable, explainable, and usable by teams beyond data science.
Alteryx One connects natively to cloud, hybrid, and on-premises systems, with governance controls inherited automatically.
Support pushdown processing and policy alignment via RBAC, Unity Catalog, and audit trails.
Inherit IAM and Data Catalog settings, with seamless integration into Looker and Vertex AI.
Connect to S3, Lake Formation, and SageMaker while respecting access controls and region-specific policies.
Access ERP, CRM, and file-based data with the same workflow-level governance.
With generative AI built into analytics workflows, teams no longer have to wait for others to draft, format, or interpret outputs. Summaries, documentation, and stakeholder-ready deliverables are produced as part of the workflow itself — reducing delays, removing manual effort, and improving consistency across teams.
Before AI takes a single action, Alteryx One ensures the data behind it is complete, contextualized, and compliant.
When AI outputs reach decision-makers, they carry the context and traceability of AI-ready data.
Generative AI in Alteryx One builds on existing business logic using the same rules, thresholds, and team inputs already built into the workflow.
Each output is shaped by the business logic that teams already rely on and is delivered with greater speed, consistency, and scale.
Generative outputs from Alteryx One are tailored to the tools, audiences, and actions each workflow supports.
This delivery model reduces turnaround time, eliminates duplicate formatting efforts, and gets decisions into motion faster.
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.
As generative outputs become part of the workflow, the process of reviewing, documenting, and distributing results changes across teams.
This shift increases analyst capacity by reducing time spent formatting and increasing time spent analyzing.
Generative AI runs on the same infrastructure that powers the rest of the analytics workflow:
This tight integration makes it easier to scale generative outputs across teams without increasing platform complexity or compliance risk.
Alteryx One uses governed workflows, role-based controls, and traceable data pipelines so that generative outputs reflect clean, validated, and policy-aligned data.
Teams can configure what’s included, how it’s phrased, and where AI is triggered using existing filters, field rules, and conditional logic within the workflow. This means the output matches your team’s standards and priorities without manual rewriting.
Alteryx One uses the same permission models, security controls, and governance frameworks already applied to your analytics workflows. Generative AI is not a bolt-on; it runs inside the same governed workflow environment and inherits the rules you’ve already configured.
Because generative outputs are tied to the logic in the workflow, any updates to business rules, filters, or thresholds are automatically reflected in future AI-generated content, so there’s no need to reconfigure outputs separately.
