Connect Kafka and
Salesforce with AI

Stream real-time events directly into your CRM and sync customer data back to your data platform. Stop writing custom integration code, manually updating Salesforce records from event data, or building brittle ETL pipelines between your event streams and revenue operations.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Stream product usage events into Salesforce accounts and opportunities in real-time

Capture clickstream, feature adoption, and product telemetry events from Kafka topics and automatically update corresponding Salesforce Account and Opportunity records. Sales teams see live product usage data without switching tools, enabling data-driven conversations and proactive outreach based on customer behavior.

Trigger Kafka events when Salesforce opportunities hit critical pipeline milestones

Publish structured events to Kafka topics whenever deals move to high-value stages, close-won status changes occur, or deal amounts cross thresholds. Downstream systems like data warehouses, analytics platforms, and customer success tools consume these events for real-time revenue tracking and automated workflows.

Enrich Salesforce leads with behavioral data from Kafka event streams

Aggregate website visits, content downloads, and engagement metrics from Kafka topics to automatically score and enrich Lead records in Salesforce. Marketing and sales teams work with complete context without manual data entry, improving qualification accuracy and conversion rates.

Alert revenue teams in Salesforce when Kafka streams detect usage anomalies

Monitor event streams for sudden drops in product usage, failed transactions, or error spikes, then automatically create Tasks or Cases in Salesforce assigned to the right account owner. Customer success and sales teams respond to at-risk accounts before churn occurs, with full context on what triggered the alert.

Sync Salesforce account changes back to Kafka for downstream system consumption

Publish events to Kafka whenever critical Salesforce fields change—account ownership transfers, contract renewals, billing updates, or customer tier modifications. Data teams maintain a complete audit trail in their event-driven architecture while keeping analytics, billing, and operational systems synchronized.

Archive high-volume Kafka event data with Salesforce metadata for compliance reporting

Combine customer interaction events from Kafka streams with corresponding Salesforce account and contact information, then route to long-term storage. Compliance and legal teams access complete, auditable records linking product behavior to CRM entities for regulatory requirements and dispute resolution.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Kafka and Salesforce with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird AI understands both Kafka's event schemas and partition structures, and Salesforce's object model, relationships, and custom fields—mapping between real-time streams and CRM records automatically.

AI that reads Kafka schemas and Salesforce objects

Redbird analyzes your Kafka topic schemas—whether Avro, JSON, or Protobuf—and automatically maps event fields to Salesforce standard and custom objects. The AI understands nested event structures, array fields, and timestamp formats, translating streaming data into proper Salesforce data types. It handles lookups between Account, Contact, Opportunity, and custom objects, maintaining referential integrity while processing high-throughput event streams without custom code.

Kafka topic schema detection
Salesforce object relationship mapping
Event-to-record field transformation
Bidirectional data type conversion
10×

faster than building custom Kafka consumers with Salesforce API integration

No need for streaming application development, API rate limit management, or custom error handling logic

Auto-generated reports

Redbird can pull from Kafka and Salesforce simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Kafka or Salesforce.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Kafka into Salesforce, or from Salesforce back into Kafka. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any Kafka event stream or Salesforce record change—Redbird handles the schema mapping and execution.

Kafka
Triggers & Actions
Trigger

New message in topic

Trigger when a new event is published to any Kafka topic or partition you specify.

Trigger

Message matches filter criteria

Trigger only when event payload fields match specific conditions or value thresholds.

Trigger

Consumer group lag exceeds threshold

Trigger when message processing falls behind by a specified number of events or time duration.

Action

Publish event to topic

Write structured events to specified Kafka topics with proper serialization and partitioning.

Action

Batch publish events

Send multiple events to Kafka topics in a single operation for high-throughput scenarios.

Action

Create or update schema registry entry

Register or modify Avro, Protobuf, or JSON schemas in Confluent Schema Registry.

Salesforce
Triggers & Actions
Trigger

Record created or updated

Trigger when any Salesforce object record is created or specific fields are modified.

Trigger

Opportunity stage changes

Trigger when a deal moves between pipeline stages or reaches specific milestones.

Trigger

Account field threshold crossed

Trigger when numeric fields like ARR, employee count, or custom metrics reach defined values.

Action

Create or update record

Insert new records or update existing Accounts, Contacts, Opportunities, or custom objects.

Action

Add Task or Event to record

Create follow-up tasks or log activities on Salesforce records with assigned owners.

Action

Execute SOQL query

Run Salesforce Object Query Language searches to find and retrieve matching records.

Kafka
+
Salesforce

Ready to connect your stack?

Start streaming Kafka events into Salesforce and syncing CRM data back to your event platform. Redbird handles the schema mapping, API limits, and data transformation automatically.

Get started → Book a demo