Tealfabric

Integration pipeline

Set up → pull → data store → push → review

01 Configure02 Pull03 Data store04 Push05 Audit

New tenant integration

salesforce-prod

Connector: Salesforce · OAuth2 · active

Credentials: keystore · token refresh: on

Test connection: OK

hubspot-marketing

Connector: HubSpot · API key · active

Test connection: OK

Simulated flow — one connection model from external systems through your data store to connected systems

Connect your stack

“Hundreds of systems, one way to connect them—workflows, APIs, and AI all use the same controlled setup.”

Platform

Integrations built into how work gets done

Connect CRMs, ERPs, cloud storage, databases, and custom APIs once—then run them from workflows, the REST API, and AI where you allow it. Not one-off automation tools sitting beside your real work.

Adoption context

You need this when
Your main systems must read and write data inside live workflows—not as separate automation tasks or scripts beside your processes.
Often bundled with
Process Automation for live workflows on one platform.
Not required if
You only need internal step logic with no external system calls—and can add connectors when a workflow needs them.

Integrates with the tools you already run on

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A connector is a ready-made bridge. An integration is your live connection on the platform—set up once, used everywhere.

Most platforms force a tradeoff: point-to-point scripts that break, automation connectors disconnected from your processes, or custom code that is expensive to secure and maintain.

Tealfabric sits in the middle—a broad connector library wired directly into workflows, your data, and access controls. Connections are not side projects; they are part of how work gets done.

  • Connect your stack to your workflows—not a separate automation layer
  • Connector = ready-made bridge; integration = your live connection, set up once
  • Hundreds of systems, one connection model—workflows, APIs, and AI share it
  • Set up once, run from workflows, the REST API, and AI where you allow it
  • Run immediately when you need an answer; queue work when you need scale—with retry and cancel
  • Land data in Datapools and shared schemas—not isolated pipes
  • Test, review runs, rate-limit, and turn on AI access per connection

Customer patterns

How teams connect systems to processes and data.

  1. SFTP + email
    → DataPool

    01. Supplier onboarding

    Pull vendor data from email and SFTP, validate in a workflow, write to a Datapool.

  2. Salesforce
    nightly sync

    02. CRM sync

    A nightly workflow pushes and pulls account updates through Salesforce—with a clear history.

  3. generic HTTP
    legacy ERP

    03. Internal API bridge

    Legacy ERP via generic HTTP—credentials in the platform, not scattered scripts.

  4. describe + execute
    AI opt-in

    04. AI-assisted support

    AI describes what a connection can do, runs allowed actions, and leaves a reviewable history.

  5. OAuth refresh
    accounting API

    05. Finance and ops

    OAuth accounting APIs with automatic token refresh for long-running automations.

End-to-end flow

Set up, pull from Salesforce, save to a data store, push to HubSpot—with a full history.

Set up connections once on one platform. A workflow pulls account data from an external system, writes enriched records to your data store, pushes updates through a second connection, and leaves a full trail you can review.

Integration pipeline

Set up → pull → data store → push → review

01 Configure02 Pull03 Data store04 Push05 Audit

New tenant integration

salesforce-prod

Connector: Salesforce · OAuth2 · active

Credentials: keystore · token refresh: on

Test connection: OK

hubspot-marketing

Connector: HubSpot · API key · active

Test connection: OK

Simulated flow — one connection model from external systems through your data store to connected systems

Capabilities

Breadth, reuse, reliability, and control—not connector count alone.

Documented actions, test before go-live, and a history of each run. Many connectors build trust; controlled execution is what matters.

  1. CRM · ERP · cloud
    messaging · files

    01. Connectors for real-world systems

    A broad library across CRM, ERP, cloud, messaging, data, files, and protocols.

    Business apps, cloud platforms, email and chat, databases, warehouses, CSV/Excel/PDF, REST, SOAP, GraphQL, webhooks, and AI services—each documents what it can send, receive, sync, and test before you go live.

  2. test · activate
    OAuth refresh

    02. Set up once, use everywhere

    Your connections with secure credentials—not stored in workflow code.

    Name, connect, test, and activate. OAuth apps stay connected with automatic token refresh. One Salesforce or SFTP connection can power dozens of workflows, API calls, and AI actions.

  3. sync · queue
    retry · cancel

    03. Run now or in the background

    Immediate runs or queued jobs with status, cancel, retry, and callbacks.

    From quick lookups to overnight syncs—same connection, your choice of timing. Control in-flight work without a separate job runner.

  4. workflow step
    structured I/O

    04. Built into workflows

    Call any configured connection from a workflow step with structured inputs and outputs.

    Same execution path in the visual editor or custom code. No API keys in snippets. No shadow connections that live only in one script.

  5. describe + execute
    opt-in per integration

    05. AI-ready, on your terms

    Discover and run with guardrails—turn on per connection.

    AI can describe what a connection supports before calling it. AI access is off by default; you enable it where support automation and data enrichment make sense.

  6. generic REST
    internal APIs

    06. Generic HTTP for the long tail

    Reach internal APIs, niche vendors, and legacy endpoints.

    Named connectors for the majors; configurable method, path, headers, and body for everything else—within platform safety limits.

  7. virtual schema
    query + govern

    07. Land data where workflows use it

    Feed Datapools and shared schemas from connected systems.

    Connections are not only request/response pipes. Query, transform, and govern external data alongside your operational datasets.

  8. run history
    rate limits

    08. Operate with confidence

    Test results, run history, queue visibility, rate limits, and review.

    When something fails at 2 a.m., teams see what ran, for whom, and why—in one place alongside workflow and security activity.

Supported connection types

SaaS and enterprise apps

Salesforce, HubSpot, Workday, SAP, Dynamics, Shopify, Jira

Email and messaging

SMTP, Gmail, Slack, Teams, Twilio, WhatsApp Business

Files and transfer

CSV/Excel/PDF, S3, SFTP, platform storage

Databases and analytics

MySQL, PostgreSQL, MongoDB, Redshift, BigQuery

Cloud and infrastructure

AWS, Azure, GCP, webhooks, Kafka, MQTT

Protocols

REST, SOAP, GraphQL

AI and media

OpenAI, Anthropic, Gemini, speech APIs

Custom and internal

Generic REST to any reachable HTTP API

Connect your stack to your processes

See controlled integrations inside workflows and AI-assisted steps.

We walk through connector setup, immediate and queued runs, Datapool linkage, run history, and AI access you turn on per connection—on the same platform as your rules and operational data.

Book a demoStart a pilotProcess Automation

Pilots start with one live workflow—system connections, steps, and full history.