Crypto tax and compliance workflows in late 2025 require stitched-together pipelines that reconcile on‑chain activity, off‑chain exchange data, user documents, and regulatory guidance into auditable outputs. This topic covers AI-enabled tools and integration patterns that address four practical needs: Data Catalog & Lineage (provenance and reconciliation), Document Management Integrations (statements, KYC/AML documentation), Knowledge Base Connectors (regulatory rules and firm policies), and Tool Integrations (APIs, scrapers, and automation). Key tooling patterns shown here include MCP (Model Context Protocol) servers that let LLMs orchestrate specialized services (e.g., Strata-based connectors used by Klavis ReportGen and Atlassian MCP for Confluence/Jira), hosted integration platforms like Pipedream to link thousands of exchange and accounting APIs, browser-automation MCPs such as Playwright for scraping legacy exchange UIs, and developer tools like Semgrep to embed static-analysis guardrails around smart-contract and ingestion code. Klavis ReportGen demonstrates the final-mile need for query-driven, professional report generation that converts reconciled data into tax filings and audit artifacts. Taken together these components form an end-to-end pattern: ingest (Pipedream, Playwright), normalize and trace lineage (data catalog approaches and MCP metadata), secure code and pipelines (Semgrep), and produce audit-ready outputs and documentation (Klavis ReportGen, Atlassian integration for evidence and workflows). This approach responds to continued regulatory scrutiny, the technical complexity of DeFi/NFT transactions, and organizational needs for reproducibility and explainability. For teams building or selecting solutions, the practical priority is interoperable connectors, verifiable lineage, and automation that preserves human oversight and audit trails rather than purely black‑box automation.