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Autoflux is only as powerful as the ecosystem it connects to, and that ecosystem is deliberately broad. You can wire Autoflux into the applications your team already relies on — CRMs, project management tools, accounting platforms, cloud storage services, and AI providers — as well as any custom system that exposes an API or accepts a webhook. This page covers every major integration category available in Autoflux, explains how to connect them, and shows you where to find pre-built templates to get up and running quickly.

Integration Categories at a Glance

Cloud Services

Sync data across Google Drive, Dropbox, AWS, Microsoft Azure, and other SaaS platforms. Autoflux supports secure, automated data transfer between cloud environments with enterprise-grade encryption.

CRM & ERP

Connect CRM systems, accounting software, ERP platforms, and project management tools. Keep records consistent in real time and eliminate manual data entry across business systems.

APIs & Webhooks

Integrate any service that exposes a RESTful, SOAP, or GraphQL API, or that can send or receive webhooks. Full support for custom authentication, headers, and response mapping.

AI & ML

Trigger intelligent actions using OpenAI, Google AI, and other machine learning platforms. Use AI steps for text analysis, image recognition, sentiment scoring, and predictive analytics inside your workflows.

App-to-App Integrations

Autoflux supports direct, two-way connections between leading business applications, enabling smooth data exchange and real-time synchronisation without custom development. CRM Systems — Connect Salesforce and other CRM platforms to pull contact records, push new leads, update deal stages, and trigger follow-up sequences based on activity in other tools. Accounting Software — Integrate accounting platforms to automate invoice creation, sync payment status, and reconcile records whenever data changes in a connected source. Project Management — Connect project management platforms to create tasks, update ticket status, and notify team members when upstream data conditions are met. E-commerce Platforms — Link your store to Qvista to capture orders, fetch customer details from an external CRM, trigger personalised email sequences, and update loyalty point balances automatically.
Autoflux supports connections to both cloud-hosted and on-premise applications. If your organization runs a business system behind a private network, use Qvista’s on-premise deployment option to keep all data transfer within your own infrastructure.

Cloud Service Integrations

Modern businesses spread their data across multiple cloud providers. Autoflux brings it all together:
  • Google Drive — Trigger workflows when a file is created or updated, read file contents, and write processed results back to a folder.
  • Dropbox — Move, copy, and read files as workflow steps, or trigger a workflow when a folder receives new content.
  • AWS — Interact with S3 buckets, invoke Lambda functions, and consume events from SQS queues directly within an Autoflux workflow.
  • Microsoft Azure — Read from and write to Azure Blob Storage, trigger workflows from Azure Event Grid events, and pass data to Azure Functions.
  • Other SaaS Services — Any SaaS platform that provides an API or webhook endpoint is connectable. Use the API Management features described below for services without a pre-built connector.
Autoflux encrypts all data in transit using industry-standard protocols, and enterprise-grade access controls ensure that each connected service can only read or write the data it needs.

API Management

When a pre-built connector does not exist for a service, the API Management module lets you build a custom integration in minutes.

Supported Protocols

  • RESTful APIs — Send GET, POST, PUT, PATCH, and DELETE requests to any HTTP endpoint. Configure query parameters, request headers, and JSON request bodies using dynamic data mapped from upstream steps.
  • SOAP APIs — Connect to legacy SOAP services by providing the WSDL endpoint. Autoflux handles XML serialization and deserialization so the rest of your workflow works with clean, structured data.
  • GraphQL APIs — Write queries and mutations directly in the step configuration. Map variables from upstream step outputs into the query at run time.
  • Webhooks — Use Autoflux as both a webhook sender and a webhook receiver. Generate a unique inbound webhook URL to trigger a workflow when an external service posts a payload, or configure an outbound webhook step to push data to any endpoint.

Authentication and Security

Autoflux supports all common API authentication patterns: API keys, Bearer tokens, OAuth 2.0 (with automatic token refresh), Basic Auth, and custom header schemes. Credentials are stored in the Credentials Vault and are never exposed in workflow logs or version history. Real-time analytics and logging track each API call’s status code, response time, and payload so you can monitor integration health from the Autoflux dashboard.

AI and Machine Learning Integrations

Autoflux connects to AI and ML providers so you can embed intelligent processing directly into your automation flows, without building a separate pipeline. OpenAI — Use GPT models to summarise text, classify content, draft responses, extract structured data from free-form input, or generate personalised copy at scale. Pass any upstream field as a prompt variable and map the model’s output to downstream steps. Google AI — Connect to Vertex AI or the Gemini API to run natural language tasks, vision models, or custom ML endpoints hosted in Google Cloud. Other Machine Learning Platforms — Any ML platform that exposes an API endpoint — including custom models hosted on AWS SageMaker, Azure ML, or Hugging Face — is connectable via the API Management module. Common AI-powered automation patterns include:
  • Text analysis and sentiment scoring — Classify incoming support tickets or lead responses and route them to the right team automatically.
  • Image recognition — Process uploaded images, extract labels or text, and populate structured records without manual review.
  • Predictive analytics — Send historical data to a prediction endpoint and use the returned score to trigger personalised outreach or surface a dashboard alert.
Combine an OpenAI step with a Condition node to create a branching workflow that reacts differently based on AI-classified intent — for example, routing “complaint” messages to a support queue while routing “purchase intent” messages to a sales rep.

Pre-Built Workflow Templates

If you want to move quickly, Autoflux includes a library of pre-configured workflow templates covering the most common business automation scenarios. Browse and deploy templates directly from Autoflux → Templates. Templates are available across these domains:
DomainExample Templates
MarketingLead capture → CRM sync → email nurture sequence
SalesNew deal → Slack notification → task creation in project management tool
HRNew employee form → onboarding task creation → system access provisioning
ITIncident webhook → ticketing system → on-call Slack alert
Every template is fully editable. Clone a template, adjust the trigger, swap in your own app credentials, and activate — most common workflows are running in under ten minutes.

Custom Scripting and Plugin Integration

For situations where a pre-built connector and standard API management are not sufficient, Autoflux supports Custom Script steps. Write JavaScript directly in the step editor to transform data, call internal utilities, or interact with third-party plugins that do not expose a public API. Custom scripts run in a sandboxed execution environment and have access to all upstream step outputs as variables.
Custom scripts are executed in a restricted sandbox with no access to the host filesystem or network resources outside of explicitly permitted outbound API calls. Contact your Qvista administrator to configure the outbound allowlist for your workspace.