No-code

workflow design without heavy engineering lift

50+

functional nodes for connected operations

Cross-system

automation that moves across business tools

Workflow modules

Operational automation that stays configurable as complexity grows

The goal is not only to automate steps. It is to keep the process understandable while connecting inputs, logic, decisions and system actions.

Unified orchestration

Bring AI, business logic and system actions into one operational layer

Synapsis connects data inputs, AI steps and downstream actions so teams can move from fragmented tooling into a more coherent automation model.

Unified orchestration

1 layer

for orchestration across tools and logic

Cross-system workflow controlOperational visibility into each stepCleaner orchestration for applied AI
Workflow orchestration interface

Event-driven execution

Start workflows from the events the business already uses

Use email, forms, schedules, dates and API calls as practical entry points so the workflow fits how the organization already operates.

Event-driven execution

Real-time

entry points for business operations

Email, forms and scheduled triggersAPI-based workflow entry pointsData transformation and system actions
Workflow trigger interface

Configurable logic

Customize the path without rebuilding the workflow from zero

A growing library of functional nodes makes it possible to adapt approval logic, enrichment, transformations and AI decisions without a fragile custom stack.

Configurable logic

Flexible

logic blocks for changing process needs

Reusable workflow nodesPractical branching and conditionsAdaptable automation as requirements change
Workflow logic interface

Workflow path

A simple path from trigger to action

A useful workflow system should make the route readable: what starts the process, what enriches it, what decides next and what action gets executed.

  • 1

    Trigger

    Receive the signal that starts the operational flow.

  • 2

    Enrich

    Bring in context, data and intermediate AI outputs.

  • 3

    Decide

    Apply rules, approvals or model-assisted decisions.

  • 4

    Act

    Push the next step into the business system that owns it.

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