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Interface automation that can automate any flow a human can do. No APIs needed.

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1849 Union St, San Francisco, CA 94123, USA·Loot Discount inc dba Stepwork
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AI Automation
StepworkvsLindy.ai

Lindy.ai uses AI agents. Every run is a new reasoning.

Stepwork is deterministic. 98% accuracy. Every time.

Lindy.ai builds AI agents that automate tasks through natural language and reasoning. But AI agents are non-deterministic — each run can behave differently. Stepwork uses deterministic replay with AI self-healing: the same workflow runs the same way every time, with 98% accuracy. Purpose-built for IT provisioning. Enterprise security. Local execution.

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Two tools. Two very different outcomes.

Compare automating user provisioning with deterministic vs AI-agent approaches.

StepworkAutomation
1Record the workflow in the browser2 min
2Stepwork builds an executable flowDone
3Run with MFA & SSO through your IDPInstant
4Deterministic replay — same result every time98% accuracy
5UI changes? Self-healing handles itAlways current
98% accuracy
Deterministic · Self-healing · Local
VS
Lindy.aiAI Automation
1Create Lindy agent with instructions30 min
2Connect tools via API / OAuth15 min
3Agent reasons differently each runNon-deterministic
4Provisioning fails — wrong field, wrong appDebug
5Data processed through Lindy cloudOngoing
Variable
AI reasoning each run · Cloud-processed

Why teams choose Stepwork over Lindy.ai.

The capabilities that make Stepwork fundamentally different.

Deterministic, not probabilistic

Stepwork replays a recorded workflow the same way every time — with AI vision only for self-healing when the UI changes. Lindy.ai agents reason from scratch on each run, producing variable outcomes that aren't suitable for production provisioning.

Purpose-built for IT provisioning

Stepwork is designed for user provisioning, access management, onboarding, and offboarding. Lindy.ai is a general-purpose AI agent platform — not optimized for the precision and auditability that IT workflows require.

98% accuracy, not AI guesswork

Stepwork achieves 98% flow accuracy through deterministic replay. Lindy.ai agents rely on LLM reasoning for each action — accuracy varies by task complexity and model behavior.

Local execution, not cloud

Stepwork runs in a Docker container on your device. Lindy.ai processes agent actions through its cloud — credentials, PII, and workflow data pass through external servers.

Self-healing with AI vision

Stepwork uses AI vision only when the UI has changed — to find elements and adapt. Lindy.ai uses AI for every step, which is powerful for open-ended tasks but unreliable for structured provisioning.

Enterprise identity support

Stepwork authenticates through Okta, Entra ID, Google Workspace, and 1Password with native MFA. Lindy.ai connects to tools via OAuth and API keys — no native IDP integration for enterprise SSO flows.

98%
Deterministic accuracy
100%
Local execution
0
AI reasoning per run
5 min
To first automation
100%
Reproducible audit trail

Security by design.

How Stepwork and Lindy.ai handle your data, credentials, and access.

100% local execution

Stepwork runs inside a hardened Docker container on your device. Data never leaves your machine.

Stepwork
Cloud-processed agent actions

Lindy.ai agents execute through its cloud infrastructure. Task data, tool calls, and context flow through Lindy's servers.

Lindy.ai risk
IDP-native authentication

Stepwork authenticates through your existing identity provider with native MFA. No OAuth tokens stored in third-party platforms.

Stepwork
OAuth token storage

Lindy.ai stores OAuth tokens and API credentials for connected tools on its platform.

Lindy.ai risk
Feature-by-feature comparison
8 dimensions. One clear winner.
FeatureStepworkLindy.ai
ApproachDeterministic replay + AI self-healingAI agent reasoning per action
Accuracy98% flow accuracyVariable — depends on AI reasoning
Provisioning use casePurpose-builtGeneral-purpose agent
MFA / SSOOTP, passkeys, push — nativeOAuth / API keys
Data handlingProcessed locallyCloud-processed
Audit trailDeterministic, reproducibleAI reasoning — not reproducible
Self-healingAI vision when UI changesAI adapts — but non-deterministic
Enterprise securityLocal, hardened containerCloud-based

Lindy.ai breaks when UIs change.
Stepwork self-heals and keeps running.

When a UI changes, most automation tools fail silently or require manual fixes. With Stepwork, flows self-heal. AI detects layout shifts, finds the right elements, and keeps the automation running — no human intervention required.

UI change detected
Button moved, layout shifted, new element added
Self-healing activates
AI identifies the correct element using vision, not selectors
Flow continues
Automation completes with 98% accuracy. No re-recording needed.

Frequently Asked Questions

Is Stepwork an AI agent like Lindy.ai?

No. Stepwork uses deterministic replay — it records a workflow and replays it the same way every time. AI is used only for self-healing when the UI changes. Lindy.ai uses AI reasoning for every action, which is flexible but non-deterministic and less suitable for production provisioning.

Why is deterministic better than AI agents for provisioning?

Provisioning requires precision: the right user, the right app, the right role, every time. AI agents can make different decisions on each run. Stepwork's deterministic approach ensures 98% accuracy and full auditability — critical for IT compliance.

Can Lindy.ai handle enterprise MFA?

Lindy.ai connects to tools via OAuth and API keys. It doesn't authenticate through your identity provider or complete MFA natively. Stepwork signs in through Okta, Entra ID, or 1Password and handles OTP, passkeys, and push notifications.

Is Stepwork more secure than Lindy.ai?

Stepwork processes all data locally in a hardened Docker container. Lindy.ai routes agent actions and data through its cloud. For provisioning workflows involving PII and credentials, Stepwork's local-first model keeps sensitive data on your infrastructure.

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Record once. Run forever. Join teams saving 1,000+ hours with 98% accurate automation.

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