JarvisBitz Tech
System Integration

Connect every system. Unify every workflow.

CRM, ERP, payment, and communication platform integrations — with reliable data sync, transformation, and real-time monitoring.

Integration Pipeline

Integration architecture

Six stages that transform raw platform connections into reliable, monitored data flows between your systems.

01

Source Systems

Every integration starts at the source. We connect to your existing platforms — CRMs, ERPs, HRIS, payment processors — through their native APIs, extracting data with proper authentication, pagination, and rate limit handling.

Technology
SalesforceHubSpotSAPWorkday
DATA FLOW
Stage 01/06 · Source Systems
Reliability

Integration reliability at scale

Metrics that define our integration quality — every sync verified, every failure caught.

100%

Data Accuracy

Schema validation and reconciliation checks

<1s

Sync Latency

Near real-time CDC with event streaming

50+

Connectors

Pre-built adapters for major platforms

24/7

Monitoring

Automated alerting on sync failures

Capabilities

What we build

Production integration systems that keep your platforms in sync and your data flowing reliably.

CRM Integrations

Salesforce, HubSpot, and Pipedrive bi-directional sync with contact deduplication, field mapping, and activity logging.

Payment Connectors

Stripe, PayPal, and Braintree integrations with webhook handlers, idempotent processing, and reconciliation workflows.

Communication Bridges

Slack, Teams, Twilio, and SendGrid automation — routing notifications, alerts, and messages across channels by workflow rules.

ERP Connectors

SAP, NetSuite, and QuickBooks data sync for financials, inventory, and order management with idempotent writes.

Data Pipelines

ETL/ELT flows between data warehouses and applications — scheduled, event-triggered, or continuously streaming.

Webhook Orchestration

Event routing, payload transformation, retry with backoff, and dead letter handling for reliable webhook-driven workflows.

Methodology

How we approach integrations

Integrations fail when they treat data sync as a one-time task. We build for continuous, reliable operation.

Schema-first contracts

We define the data contract between systems before building connectors. Schema validation catches mismatches before they corrupt production data.

Idempotent by default

Every write operation is designed to be safely retried. Network failures, timeouts, and duplicate webhooks are handled gracefully — not with data corruption.

Reconciliation built in

Automated reconciliation jobs compare source and destination data to catch drift. Discrepancies are flagged and resolved before they impact downstream systems.

Graceful degradation

When a source system goes down, the integration queues changes and replays them when connectivity returns. No data is lost, no manual intervention required.

Stack

Technology stack

Protocols, platforms, and tools we use to build reliable integration pipelines.

Protocols

RESTSOAPGraphQLgRPCWebhooks

Platforms

SalesforceHubSpotStripeSAPTwilio

Message Queue

KafkaRabbitMQSQSRedis Pub/Sub

ETL

AirbyteFivetranCustom Pipelinesdbt

Monitoring

DatadogPagerDutyCustom Dashboards

Languages

Node.jsPythonTypeScriptGo

Need to connect your systems?

Tell us what platforms you're working with — we'll map out the integration architecture.