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


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.
How it usually works
Week 1-2: Audit & Design
We audit your CRM instance and sales engagement and other platforms, map data flows, and design your serverless sync architecture.
Week 3-6: Build & Test
We build the integration layer in AWS, test across all your environments, and validate data accuracy with your team.
Week 7-8: Deploy & Handoff
We deploy to production, monitor for issues, and deliver complete documentation so your team can maintain it.
Latest Insights
Quick technical reads on CRM integration challenges, AWS serverless architecture patterns, and DevOps trends.
Ready to Fix Your Revops Issues?
We’ll audit your current systems and outline a complete integration roadmap in our first call.
FAQs
Do you work with tools other than Salesforce?
Yes, we’ve built integrations for HubSpot, Pipedrive, and custom CRMs. Salesforce is our specialty, but we can architect sync layers for any revenue system.
How long does implementation take?
Most integrations are deployed in 4-6 weeks. Complex multi-system architectures may take 8-10 weeks.
What if our sales process changes after launch?
That’s what our ongoing support package handles. We adjust field mappings and logic as your workflow evolves.
Can our team maintain this internally?
Yes. We build with standard AWS services and provide complete documentation. Most teams handle day-to-day monitoring themselves after handoff.






