Compose Multi-Agent AI Workflows That Reason, Act, and Learn.
SketricGen's AI workflow builder goes beyond rule-based automation. Describe your goal, Max generates the multi-agent workflow, and you deploy it to any channel — with full traces on every run. No code. No wiring. No guessing.
Used by operations, product, and growth teams · 2,000+ integrations · No credit card required
Platform highlights
Platform highlights
Beyond
if-this-then-that
2,000+
app connectors
Full
per-run traces
Multi-agent
handoffs with context
Reasoning, Tools, Traces.
All in One AI Workflow.
Traditional automation tools run fixed rules. When conditions change — or a step needs judgment — they break. SketricGen's AI workflow builder is built for agents that reason, route, and adapt based on context.
Every workflow in SketricGen runs on the AgentSpace canvas — a visual workspace where multi-agent pipelines are laid out as they actually execute. Each agent has a role, a set of tools, and a handoff condition. The workflow doesn't just fire steps in sequence; it thinks.
Related: What Is an AI Workflow Builder?
From Idea to Running
Multi-Agent Workflow in 3 Steps.
Step 1
Describe Your Goal in Plain English
Tell Max what you need your workflow to do. Max asks clarifying questions, identifies the right tools and agents, and presents a plan for your approval.
No flowcharts. No drag-and-drop assembly from scratch. Just describe the outcome.
Step 2
Max Builds the Workflow on the Canvas
Max generates the complete multi-agent workflow directly on the AgentSpace canvas — creating agents, attaching tools, writing instructions, and setting handoff logic in real time.
This is text-to-workflow automation: describe once, get a production-ready pipeline.
Step 3
Test in Playground, Inspect Traces, Deploy
Run the workflow in the Playground to validate behavior. Open the Traces panel to see exactly what each agent did. Adjust any agent's instructions from the canvas, then deploy as a widget, API endpoint, or channel integration.
2000+ App Connectors
and Integrations
Connect your agents to apps like Notion, Calendar, Airtable, Linear and more so your workflows run seamlessly across every tool you use. Publish to apps like Slack, WhatsApp, WordPress, Shopify and more.
What Makes SketricGen's
AI Workflow Builder Different.
Max Orchestrator — Text-to-Workflow Generation
The only AI workflow builder that generates your multi-agent pipeline from a plain-English description. Describe the goal. Max builds the workflow. You review, adjust, and deploy.
AI-Routed and Forced Handoff Orchestration
Choose your routing model per workflow. AI-routed handoffs let agents decide when to pass context. Forced Handoffs create deterministic pipelines where Agent A always passes to Agent B.
Agent-as-Tool Pattern
Use any agent as a callable tool inside another agent. Run a classification agent inside your main workflow as a sub-process — perfect for sentiment classification, content extraction, or entity recognition.
Structured Inputs and Outputs
Define typed schemas for agent inputs and outputs. Agents validate their outputs against the schema and retry until the result is schema-valid — production-safe multi-agent data passing.
Full Trace Observability on Every Run
Every workflow run is logged: which agents ran, which tools were called, what was passed between agents, how long each step took, and total credit consumption.
Portable Workflow Configs
Export your workflow as a JSON config for version control, sharing, or migration. Sensitive fields are automatically stripped on export.
What Teams Are Automating
With SketricGen AI Workflows.
| Agents Involved | Result | |
|---|---|---|
| Inbound lead qualification | Intake · Enrichment · Scoring · Email | Qualified leads in CRM, personalized follow-up sent |
| Customer support tier-1 triage | Triage · Knowledge base · Escalation router | 70%+ tickets resolved without human touch |
| Research and competitive intelligence | Web search · Summarizer · Formatter | Research briefs delivered to Notion or Slack |
| Content pipeline automation | Briefing · Draft · Editor · Publisher | Blog drafts from keywords to CMS-ready |
| Post-purchase ecommerce support | Order lookup · Policy · Returns router | Full post-purchase support handled autonomously |
| Internal IT helpdesk | Intake · Knowledge base · Escalation | 40–60% ticket deflection without IT involvement |
Built to Handle Real
Business Data. Responsibly.
SketricGen is built for production workflows that process real business data.
AWS-Backed Infrastructure
Encryption in transit and at rest across all workflow runs.
Account-Scoped Isolation
Your workflows, knowledge bases, and traces are private to your account.
Structured I/O Validation
Agents retry until schema-valid output is produced, preventing corrupt data from propagating through multi-agent pipelines.
Audit Trail
Every run is logged in Traces; full conversation history exportable as JSON.
AWS-Backed Infrastructure
Encryption in transit and at rest across all workflow runs.
Account-Scoped Isolation
Your workflows, knowledge bases, and traces are private to your account.
Structured I/O Validation
Agents retry until schema-valid output is produced, preventing corrupt data from propagating through multi-agent pipelines.
Audit Trail
Every run is logged in Traces; full conversation history exportable as JSON.
AWS-Backed Infrastructure
Encryption in transit and at rest across all workflow runs.
Account-Scoped Isolation
Your workflows, knowledge bases, and traces are private to your account.
Structured I/O Validation
Agents retry until schema-valid output is produced, preventing corrupt data from propagating through multi-agent pipelines.
Audit Trail
Every run is logged in Traces; full conversation history exportable as JSON.
AWS-Backed Infrastructure
Encryption in transit and at rest across all workflow runs.
Account-Scoped Isolation
Your workflows, knowledge bases, and traces are private to your account.
Structured I/O Validation
Agents retry until schema-valid output is produced, preventing corrupt data from propagating through multi-agent pipelines.
Audit Trail
Every run is logged in Traces; full conversation history exportable as JSON.
SketricGen vs. Zapier, Make, n8n,
UiPath, and Power Automate.
Most tools called AI workflow builders are traditional automation platforms with an AI step bolted on. SketricGen is built from the ground up for multi-agent, reasoning-first workflows.
| SketricGen | Zapier | Make | n8n | UiPath | Power Automate | |
|---|---|---|---|---|---|---|
| Multi-agent orchestration | Yes — native | No | No | Partial | No | No |
| Text-to-workflow generation | Yes — Max | No | No | No | No | No |
| AI-native reasoning | Yes | Partial | Partial | Partial | No | Partial |
| Full trace observability | Yes — per run | Limited | Limited | Partial | Yes (enterprise) | Partial |
| Structured I/O validation | Yes | No | No | No | No | No |
| Agent-as-Tool pattern | Yes | No | No | Partial | No | No |
| No-code for non-technical users | Full no-code | Yes | Yes | Partial | No | Yes |
| Multi-channel deploy | Yes | Partial | Partial | Dev-required | No | Partial |
| Free plan | Yes | Yes | Yes | Yes (self-hosted) | No | Partial |
| Best for | AI-native multi-agent workflows with reasoning and traces | Broad SaaS automation triggers | Visual automation with complex flows | Developer-grade workflow automation | Enterprise RPA | Microsoft ecosystem automation |
