What you get
- Every system sees the same customer, order, and transaction data - no conflicts
- Hours of weekly manual data entry eliminated
- Sync failures caught and resolved before they affect customers
Scale
Business systems integration
Your systems work. They just don't work together.
99.9%
Sync reliability
40+
Systems integrated
< 60s
Average sync latency
The Problem
What problem does this service solve?
Your business runs on a dozen apps that don't talk to each other. The gap between them is filled by your team - manually copying data, cross-checking records, and fixing sync errors that nobody notices until a customer complains.
Gartner found that poor data quality costs organizations an average of $12.9 million per year. For mid-market companies, even a fraction of that adds up fast - in wasted staff hours, billing errors, missed follow-ups, and decisions made on stale information.
Overview
What is Business systems integration?
Your business runs on software. The problem isn't the software - it's the gaps between them. Most companies we talk to run 10-15 tools across sales, operations, finance, and support. CRM here, billing system there, project management tool somewhere else. Each one works fine on its own. Together? Your team is the glue. That's the hidden tax. Your people spend hours every week copying data between systems, checking that records match, and fixing the mismatches nobody caught. A 2023 MuleSoft survey found that the average enterprise uses 1,061 applications - but only 29% of them are integrated. Mid-market companies run leaner stacks, but the integration rate is often worse. 1Raft builds the connections that turn disconnected tools into a connected stack. Not fragile scripts that break when a vendor updates their API. Production-grade integrations with monitoring, error handling, and sync validation built in from day one. The difference between a Zapier connection and what we build? A Zapier connection gets you from zero to 0.1. It handles the simple, linear flows. But when you need 12 systems exchanging data in real time - with conflict resolution, retry logic, and audit trails - that's custom integration work. That's what we do. We've connected CRMs to billing platforms, ERPs to modern dashboards, legacy systems to new tools that didn't exist when the legacy system was built. Across hospitality, healthcare, logistics, fintech, and more. The patterns repeat even when the systems don't. If your team is the integration layer between your apps, that's a problem we fix in weeks.
Most businesses run 5-15 software tools. Few of them talk to each other well. Your team fills the gap - copying data between systems, fixing mismatches, building spreadsheet bridges that nobody else understands.
We build the integration layer that makes your systems work as one. Not duct-taped connections that break when a vendor updates their API. Production-grade data flow with monitoring, error handling, and sync validation.
You get a connected stack where a customer update in one system shows up everywhere it needs to be - automatically, reliably, and within seconds.
Experience Signal
Teams typically eliminate 15-20 hours of weekly manual data entry after the first integration sprint.
Fit
Is this service right for you?
Good fit
- You connected your CRM to Slack with Zapier. Now you need 12 systems talking to each other with zero data loss.
- Your team enters the same customer data into three different systems every day.
- Someone built an integration once. It broke. Nobody knows how to fix it.
- Your customer data lives in five places and none of them agree.
Not the right fit
- Businesses that haven't picked their core tools yet - integration comes after you've settled on your stack
- Single-app environments with no cross-system data needs
- Teams looking for a one-click Zapier replacement - we build custom, production-grade integrations
Process
How does Business systems integration delivery work?
1
Phase 1· Week 1
System audit and data mapping
We map every system in your stack, how data moves between them today (manually or otherwise), and where records conflict. You get a clear picture of what's connected, what's broken, and what's costing you.
Deliverables
- Full system inventory with data flow map
- Conflict and duplication analysis
- Priority-ranked integration opportunities with ROI estimates
2
Phase 2· Week 2-3
Integration architecture and contract design
We design the integration layer - how systems will exchange data, what happens when something fails, and how conflicts get resolved. Every edge case gets a plan before we write a line of code.
Deliverables
- Integration architecture diagram
- Data transformation and validation rules
- Error handling and retry logic design
- Source-of-truth rules per data entity
3
Phase 3· Week 3-6
Build, connect, and validate
We build the integrations, connect your systems, and validate every data path with production-level scenarios. We test the failures too - API timeouts, malformed data, rate limits, partial writes.
Deliverables
- Production-ready integrations across your stack
- Automated data validation and sync monitoring
- Edge case handling for vendor-specific API quirks
4
Phase 4· Week 6-8
Go-live, monitoring, and handoff
We deploy, set up real-time monitoring, train your team on the dashboards, and hand over runbooks for every integration. If something breaks at 2am, your team knows exactly what to check.
Deliverables
- Live integrations with real-time monitoring
- Alerting for sync failures and data anomalies
- Operational runbooks for each integration
- Expansion roadmap for future system connections
Outcomes
- Every system sees the same customer, order, and transaction data - no conflicts
- Hours of weekly manual data entry eliminated
- Sync failures caught and resolved before they affect customers
- Clear monitoring dashboards your ops team actually understands
Deliverables
- System audit with data flow mapping and conflict analysis
- Integration architecture with source-of-truth rules per entity
- Production-grade integrations with error handling and retry logic
- Real-time sync monitoring and alerting dashboards
- Operational runbooks and team training
Success Metrics
- Data sync latency (target under 60 seconds)
- Sync accuracy rate (target 99.9%+)
- Manual data entry hours eliminated per week
- Integration uptime and error resolution time
Engagement models
Focused 8-week engagement connecting 2-3 core systems with bidirectional sync, monitoring, and handoff.
Best forTeams with a specific integration pain that needs fixing now.
Core technology stack
Node.js
Python
Postgres
WA
Webhook APIsGCP
A
AWSUse Cases
Common use cases for Business systems integration
CRM-to-billing sync
Sales closes a deal in the CRM. Finance doesn't see it in the billing system until someone manually enters it - sometimes days later.
How we build it
We build a real-time sync between your CRM and billing platform. Deal status, customer details, and contract terms flow automatically. Conflicts trigger alerts instead of silent overwrites.
Outcome
Revenue recognition starts the same day the deal closes. Zero manual handoff between sales and finance.
Multi-system customer record unification
A customer updates their address on your portal. The change sits in one system while billing, support, and shipping still have the old address.
How we build it
We build a hub-and-spoke sync so one customer update propagates to every system that needs it - with validation at each endpoint to prevent bad data from spreading.
Outcome
One customer record, everywhere. Support sees the same data as billing. Shipping gets the right address.
Operations-to-reporting pipeline
Your ops team spends Friday afternoons pulling data from four systems into a spreadsheet so leadership can see last week's numbers on Monday.
How we build it
We connect your operational systems directly to your reporting layer. Data aggregates automatically with the transformations your team currently does by hand.
Outcome
Real-time dashboards replace weekly spreadsheet marathons. Leadership sees live numbers, not last week's.
Legacy system bridge
Your ERP is 15 years old. It works fine for what it does, but nothing modern can connect to it. Your team is the bridge.
How we build it
We build a modern integration layer in front of the legacy system - exposing its data through clean APIs that your newer tools can consume and push to.
Outcome
New tools work with legacy data without a full system replacement. You extend the life of what works while modernizing everything around it.
Frequently asked questions about Business systems integration
AI workflow automation replaces manual, repetitive tasks your team does - like classifying tickets or scoring leads. Business systems integration connects your apps so data flows between them automatically. Sometimes you need both. We'll tell you which one fits your situation.
Related Services
Next Step
Which systems should be talking to each other?
Walk us through your stack and where the gaps are. We'll map the integration path and show you what changes first.