AI-Ready Starter Kits
Practical workflow examples to get started faster
Practical workflow examples to get started faster
Starter Kits show how workflows are built in Alteryx and how data is prepared for analytics and AI, using practical examples grounded in real business problems. Each kit includes example workflows you can explore, run, and adapt to your own data and processes.
These Starter Kits are AI-ready, meaning they demonstrate how data is prepared, structured, and improved so it can be used more effectively for downstream analytics and AI-supported outcomes.
Browse Starter Kits by domain or capability to find an example, learn how workflows are structured, and start building your own.
This Starter Kit helps finance teams produce disclosure-ready financial data by mapping trial balances, applying materiality thresholds, and flagging exceptions with traceable controls.
This Starter Kit helps compliance and finance teams prepare regulatory filings by standardizing datasets, validating rules, and assembling submission-ready outputs.
This Starter Kit helps accounting close teams detect and resolve close breaks earlier using validation rules, materiality thresholds, and exception workflows that produce audit-ready evidence.
This Starter Kit helps finance, legal, and tax teams map corporate ownership structures by linking entity records, exposures, and registry data.
This Starter Kit helps consolidation teams compare entity ledgers, match counterparties, and generate elimination entries with reconciliation packs.
This Starter Kit helps procurement and risk teams monitor vendors by tracking sanctions signals, control expirations, and payment exposure.
This Starter Kit helps tax teams execute consistent control testing by sampling transactions, validating rules, and assembling audit-ready evidence for compliance reviews.
This Starter Kit helps finance teams extract insights from financial reports by detecting anomalies, identifying root causes, and producing evidence-backed analysis.
This Starter Kit helps accounting teams produce accurate depreciation and rollforward schedules by validating asset policies and identifying exceptions across ERP records.