We Fix the Technical Problems in RevOps That Cost You Revenue

DecoupleDev fixes fragile RevOps integrations, data sync failures, and reliability gaps across Salesforce, other CRMs, and GTM tooling.

Testimonials

How our integration approach is different

Feature Typical Integration Developers Decouple Dev
Discovery Process Generic kickoff call and start building Structured integration audit with field mapping and edge-case review
Architecture Zapier scripts cron jobs or ad-hoc services AWS event-driven architecture using Lambda EventBridge and queues
Data Validation Bulk sync and hope the data is correct Staged validation with small batches reviewed before full processing
Failure Handling Failures often go unnoticed or require manual fixes Retries DLQs and replay tools built into the system
Monitoring Manual checks or waiting for users to report problems CloudWatch dashboards alerts and operational visibility
Debugging Issues Dig through logs and guess what broke Traceable event pipeline with clear failure paths
Scalability Breaks or slows down as volume grows Serverless scaling designed for high record throughput
Documentation Minimal documentation after delivery Full integration runbook with architecture diagrams and support notes
Post-Launch Support Project ends after delivery Ongoing monitoring support and system improvements available
Long-Term Reliability Band-aid fixes as issues appear Designed for reliability observability and maintainability

The Hidden Cost of Broken CRM Syncs

When revenue systems don’t stay in sync, the cost shows up directly in growth and forecast accuracy:

  • 5–10% pipeline loss from stale lead data, missed activity syncs, and duplicate records
  • $10K–$50K+ per rep per year wasted on manual CRM cleanup instead of selling
  • Inaccurate forecasts that force leadership to operate on lagging or false data
  • Hidden risk from Zapier/Make-style automations: silent failures, rate limits, no audit trail

Built for Companies Using

Why AWS Serverless Beats
Off-the-Shelf Tools

Zapier and Make work great for simple workflows until:

  • Rate limits cause sync delays and missed records
  • No retry logic when APIs fail (data just disappears)
  • Complex field mappings require dozens of fragile steps
  • Costs $200-$500/month at scale (vs. $20-50 for serverless)
  • Limited visibility into what broke or why
Photo by Tima Miroshnichenko: https://www.pexels.com/photo/man-in-white-dress-shirt-using-black-laptop-computer-7567537/
Photo by Ketut Subiyanto: https://www.pexels.com/photo/people-looking-at-the-computer-monitor-4623306/

We build event-driven integrations using AWS Lambda and EventBridge:

  • Process thousands of records/hour without rate limits
  • Handle errors gracefully with automatic retries
  • Cost 90% less to run ($20-50/month)
  • Give you full monitoring and alerting
  • Scale automatically as your team grows
  • You own the code. No vendor lock-in.

Ready to Fix Your Revops Issues?

We’ll audit your current systems and outline a complete integration roadmap in our first call.