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Workflow automation for business operations
Zynapte Flow connects your applications and runs workflows that combine business rules, AI and human approvals — so less work is done by hand, and every execution is visible while it runs.
Connected systems
CRM, ERP, inbox, data
Data
Events and records
AI
Classify, extract, enrich
Workflow
Rules and approvals
Result
Logged and observable
Connected systems → intelligent workflows → automated execution → observable results
Illustrative product interface with simulated sample data.
Every execution logged
Step inputs, outputs and timing for each run.
Rules you can audit
Deterministic conditions decide what happens next.
Approvals where people decide
AI prepares. People approve important actions.
APIs for what you build
Trigger and monitor workflows programmatically.
The problem
Business processes cross the CRM, finance tools, inboxes and spreadsheets. The gaps between those systems are filled by people, and the work leaves no record.
Manual re-entry
The same customer, invoice or request is copied between systems by hand.
Invisible processes
Approvals live in inboxes. Nobody can say what is waiting, what failed, or why.
Fragile glue code
One-off scripts connect systems until the person who wrote them moves on.
Before
With Zynapte Flow
The solution
Zynapte Flow sits between your applications. It listens for events, applies rules and AI, routes approvals to people, updates your systems and logs every step.
Core capabilities
From the first trigger to the final notification, each part of a business process has a place in Zynapte Flow.
Build triggers, conditions and actions on a canvas, then test with sample data before you publish.
Learn moreConnect CRM, communication, database, storage and API systems. Status is shown on every integration.
Learn moreAI Classification
Lead → EnterpriseClassify, extract, enrich and recommend inside a workflow, with structured output that rules can act on.
Learn morePause a workflow for a person to approve or reject, with context and a recorded decision.
Learn moreFollow every run in real time, inspect step inputs and outputs, and retry what failed.
Learn moreTrack volume, success rate and approval latency, and alert the right people when something needs attention.
Learn moreHow it works
Authorize the systems your process touches. Scopes are shown up front, and credentials are held as managed secrets.
Browse integrationsInteractive demo
Pick a workflow and press Run. Watch each step change state, approve or reject at the approval step, or simulate a failure to see how recovery works. No signup required.
Trigger: CRM · New lead created
Select a step to inspect it, or press Run Workflow to start a simulated execution.
No execution yet. Steps will appear here as they run.
Select any step on the canvas to see its configuration and simulated output.
Simulated demonstration with sample data. It illustrates how a run is presented and does not execute real customer workflows.
Use cases
Each workflow below is available as a template you can open, read and run in the demo.
Problem
Leads wait for manual research and assignment.
Result
Leads are enriched, classified and routed on arrival, with high-value accounts sent for approval.
Product features used
Workflow
Simplified view. Open the template for the full workflow including branches.
Integrations
The integration catalogue covers CRM, communication, productivity, databases, storage, developer tools and APIs. Zynapte Flow is pre-release, so each entry shows its real status.
Application names are trademarks of their respective owners and appear only to describe planned compatibility. No affiliation is implied.
AI capabilities
In Zynapte Flow, AI is a step type. It returns structured output, deterministic rules decide what happens next, and approvals keep people in control of important actions.
Messy input goes into an AI step, structured output comes out, and ordinary rules decide what happens next. Illustrative 3D visualization.
Categorise incoming records — requests, leads, alerts — so rules can route them consistently.
Incoming message
I was charged twice this month and I need this fixed today.
AI · Classify
Structured output, logged with the run
Business rule
IF urgency = High THEN assign Tier 2
Assigned to Tier 2 queue
AI proposes. Rules decide. People approve when it matters. AI output can be wrong, which is why thresholds and approvals are part of the workflow.
Execution monitoring
Every run has a timeline. Open any step to see its input and output, retry a failed step, and route alerts to the people who need them.
Recent runs
Invoice Processing
exec_0be6f4a3
Input
{ "vendor": "Sample Supplies Ltd", "total": 7480.00 }Output
{ "error": "503 Service Unavailable", "attempts": 3 }Select a run or a step. Try “Retry failed step” on the failed invoice run. Simulated sample data.
Security & reliability
Security architecture includes role-based access, audit logs, managed secrets and tenant isolation. We don't currently claim third-party certifications, and the enterprise roadmap is published.
Access control
Role-based permissions for builders, approvers and viewers.
Audit logs
A record of who changed, ran and approved what.
Secrets management
Credentials held apart from workflow definitions and masked in logs.
Tenant isolation
Workspace-level separation of data and configuration.
Encryption
Protection of data in transit and at rest as an architecture requirement.
Enterprise controls
SSO / SAML and extended audit retention.
Pricing
Plans are based on executions and AI usage, not just seats. Prices shown are proposed and may change before general availability.
Free
For evaluation
$0
Build and test real workflows before you commit.
View plan details →Pro
For small teams
$29/ month
ProposedApprovals, alerts and API access for teams running workflows every day.
View plan details →Business
For growing organizations
$99/ month
ProposedGovernance and visibility for multiple teams.
View plan details →Enterprise
For larger organizations
Custom
Custom limits, security review and support terms.
View plan details →Start from a template, adjust the rules and run it against sample data before anything goes live.