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Intelligent workflow infrastructure
for modern teams.

Arden Lane connects your tools, automates the repetitive, and ships AI agents that actually do the work — so your team can focus on what moves the needle.

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arden.app/workflows

Active runs

2,847

↑ 23.4% this week

Time saved

412h

across 38 workflows

Cost reduction

$24K

vs. previous quarter

Platform

Everything you need to ship AI-powered workflows.

From connecting your data to orchestrating multi-step agents in production — Arden Lane handles the infrastructure, so your team ships features instead of plumbing.

Workflows in minutes

Drag, drop, and ship. Build agentic pipelines visually or in code — your choice. Version control built in.

200+ integrations

Native connections to Salesforce, HubSpot, Snowflake, Slack, GitHub, and every tool your team already uses.

Enterprise-grade security

SOC 2 Type II, GDPR compliant, SSO, audit logs, and customer-managed encryption keys.

Real-time observability

Trace every step. Replay any run. Catch regressions before your customers do.

Model-agnostic

Bring your own LLM. OpenAI, Anthropic, Google, open-source — swap models without rewriting workflows.

24/7 expert support

Slack-connect with our engineers. Dedicated solutions architect for enterprise customers.

Developer-first

Build with code or no-code. Both first-class.

Engineers ship in Python, TypeScript, or Go. Ops teams configure the same workflows visually. Everyone stays in sync — no exports, no copy-paste.

✓ Type-safe SDK for Python & TypeScript
✓ CLI for local development & CI/CD
✓ Git-backed versioning of every workflow
✓ One-click rollback to any prior version

# Define an AI workflow in 12 lines
from arden import Workflow, agent

flow = Workflow("support-triage")

@flow.step
def classify(ticket):
    return agent("claude-opus").run(
        prompt=f"Categorize: {ticket.body}",
        tools=["crm.lookup", "kb.search"],
    )

flow.deploy(env="production")

Intelligent workflow infrastructure for modern teams.