Sistava

Custom Workflows

Custom AI Team

Automate any multi-step process end to end

Your AI team does not just respond to requests. They execute multi-step workflows autonomously. Intake a form submission, enrich the data, classify it, route it to the right person, draft a response, and log everything in your system of record.,Build workflows by describing them in natural language. Your AI employees figure out the execution. They handle branching logic, error recovery, and edge cases without you writing a single line of code.,Workflows run 24/7. No cron jobs, no Zapier limits, no manual triggers. Your processes run exactly when they need to, every time.

Benefits

How It Works

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At a Glance

85%
Reduction in manual process steps
24/7
Continuous execution
< 1 min
Trigger to first action
0
Lines of code required

Natural Language Process Design

Error Recovery Built In

Workflows That Improve Over Time

FAQ

How is this different from Zapier or Make?

Zapier and Make connect triggers to actions with fixed logic. Custom workflows use AI to handle ambiguity, exceptions, and multi-step reasoning. Your AI employee reads context, makes judgment calls, and adapts when the process changes.

Can workflows handle errors and edge cases?

Yes. You define what happens when something unexpected occurs: retry, skip, escalate to a human, or take an alternative path. The AI also flags new edge cases it encounters so you can add rules over time.

What triggers can start a workflow?

Incoming emails, form submissions, scheduled times, Slack messages, CRM updates, file uploads, or changes in any connected system. You can also trigger workflows manually by asking your AI employee.

Can I see what the workflow did at each step?

Yes. Every workflow run produces a detailed log showing each step, the data processed, decisions made, and time taken. You can audit any run and see exactly what happened.

How complex can a single workflow be?

There is no step limit. Workflows can include conditional branches, loops, parallel paths, human approval gates, and cross-system data transfers. If you can describe the process, your AI employee can execute it.