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Product
Zynapte Flow connects your applications, then runs workflows that combine business rules, AI and human approvals — and records every step so you can see what happened.
Connected systems
CRM, ERP, inbox, data
Data
Events and records
AI
Classify, extract, enrich
Workflow
Rules and approvals
Result
Logged and observable
What is Zynapte Flow?
It listens for events in your applications, runs the workflow you designed, asks people to decide where it matters, updates your systems and logs every step.
What it automates
Cross-system business processes: lead routing, invoice handling, onboarding, support triage, alerting and synchronisation.
Who uses it
Operations, finance, sales, customer operations and IT teams — with APIs and webhooks for developers.
How AI fits
As a step type that classifies, extracts, enriches or recommends. Rules and approvals decide what happens next.
What makes it different
Scripts and manual work
Point-to-point connectors
Zynapte Flow
A comparison of approaches, not of specific products.
Workflow automation
Model a process as connected steps. Branch on conditions, test against sample data and publish a version when it's ready.
AI automation
Classify, extract, enrich and recommend inside a workflow. You define the output schema, set a confidence threshold and decide what happens when confidence is low.
Input mapping
{{lead.company}} {{lead.notes}}
Output schema
segment · confidence
Confidence threshold0.80
Below threshold → route to human approval
Integrations
Each integration defines how it authenticates, which triggers it exposes and which actions it can perform. Status is shown on every entry, because the catalogue is still being built.
Human approvals
A workflow can pause and ask a person to approve, reject or request more information. The approver sees the context — including any AI recommendation — and the decision is recorded.
Approval requested
WaitingAI recommendation
Approve — total matches purchase order and is within the vendor's usual range. Confidence 92%.
Decision, approver and time are recorded on the execution.
Execution monitoring
Open any execution to see its timeline, each step's input and output, and where it failed. Retry a step without restarting the run.
| Execution | Workflow | Status | Duration | Started |
|---|---|---|---|---|
| exec_7f3a9c21 | Enterprise Lead Qualification | Completed | 8.4s | 2 min ago |
| exec_41be08d5 | Invoice Processing | Awaiting approval | — | 6 min ago |
| exec_c90d2a17 | Support Request Routing | Completed | 5.1s | 9 min ago |
| exec_0be6f4a3 | Invoice Processing | Failed | 7.9s | 14 min ago |
| exec_a2d17c88 | IT Alert Automation | Completed | 4.6s | 21 min ago |
| exec_5e93b0c6 | Enterprise Lead Qualification | Completed | 8.1s | 33 min ago |
Enterprise Lead Qualification
8.4s · 2 min ago
Invoice Processing
— · 6 min ago
Support Request Routing
5.1s · 9 min ago
Invoice Processing
7.9s · 14 min ago
IT Alert Automation
4.6s · 21 min ago
Enterprise Lead Qualification
8.1s · 33 min ago
Analytics
Track volume, success rate, duration and approval latency across workflows, so you can find the slow step and fix it.
last 14 days
of completed runs
end to end
avg. wait 42 min
Executions per day
Sample data
Developer capabilities
APIs and webhooks let other systems start workflows and receive execution events. The interface below is an illustrative design, not a live API.
curl -X POST https://api.example.com/v1/workflows/wf_lead_qualification/executions \
-H "Authorization: Bearer $ZYNAPTE_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "input": { "lead": { "company": "Sample Robotics" } } }'
# 202 Accepted
{ "id": "exec_7f3a9c21", "status": "queued" }Security
Role-based access, audit logs, managed secrets and tenant isolation are part of the architecture. We don't currently claim third-party certifications.