AI OCR for gas station operations
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Business Systems Integration Services
Every business reaches a point where the software stack stops working together. CRM data isn't in the ERP. Helpdesk tickets don't trigger actions in the project management tool. Finance can't see the customer data they need to reconcile invoices. Data is being re-entered by hand between systems that should be connected.
We build the integration layer that connects your systems, APIs, data pipelines, event streams, and middleware, so information flows where it needs to go without manual intervention.
CRM, ERP, helpdesk, finance, and operational systems connected without manual data entry
Real-time event-driven integrations and scheduled batch synchronisation
Integration monitoring with alerts when a sync fails or data diverges
Fixed project cost, scoped before development starts
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Staff re-entering the same data in three different systems because they don't talk to each other?
Reports that take a day to compile because the data lives in systems that don't connect?
Plain answer
RaftLabs builds business systems integration connecting CRM, ERP, helpdesk, and finance platforms for clients in the US, UK, Europe, Canada, the UAE, and Southeast Asia. A focused two-system integration costs $8,000-$25,000; multi-system builds with custom middleware run $30,000-$80,000. Every project is fixed price, scoped before development starts.
What to remember
A closed-won deal lands in the CRM. A rep copies it into the order system. Finance keys it again to raise the invoice. Support asks the customer for details the CRM already holds. Same data, three keyboards, every day.
Now a closed deal creates the ERP order within seconds. The invoice books itself. Support opens one screen and sees the whole account. Nobody re-types anything.
The integration layer is the least visible part of your stack. That layer also decides whether your tools work together or just sit next to each other.
The cost rarely shows up as a single line item. It hides in dozens of small manual steps. A sales rep copies a closed deal from the CRM into the order system. A finance analyst spends Tuesday morning pulling data from three tools into a spreadsheet. A support agent asks the customer for details the CRM already holds.
A stack that does not talk to itself is rarely a technology gap. The disconnection is a compounding operational drag that slows every downstream initiative. Add it up across a team of 20 over a year and the drag usually costs more than the integration would. Nobody owns the inefficiency, so it hides in plain sight, spread across everyone who touches the systems each day.
Integration projects pay for themselves quickly. The question is usually not whether to build them but in what order. RaftLabs has shipped production software since 2015 for clients across the US, UK, Europe, Canada, and the UAE. For UrShipper, we built integrations with five major carrier APIs, including FedEx, DHL, UPS, Aramex, and Shippo, and migrated 200+ customers from a legacy system without service disruption. For a petrol station operator with 40+ sites, we built an AI invoice processing integration that automated 20,000+ supplier transactions. Work that once meant manual data entry across several systems now runs without anyone touching it.
Everything on the left should already be true for your operation. Even one thing on the right, and a manual export or a single platform is the smarter first step.
Multiple business systems (CRM, ERP, helpdesk, finance) that don't share data, so staff re-key the same records by hand.
Systems that expose APIs or structured exports, and budget for a fixed-price build from $8,000.
A data flow that runs often enough that manual re-entry is a real, recurring cost.
A single system that does everything, with no second platform to connect it to.
A one-off data move you'll never repeat, better handled by a manual export.
Systems with no API and no way to export structured data.
"Integration" and "automation" get used interchangeably by agencies, and picking the wrong one wastes budget solving the wrong problem.
Most requests that arrive asking for "integration" turn out to need workflow automation once you look at what's actually manual: the data already flows, but nobody has automated what happens with it next. And requests for "automation" are often an integration problem in disguise, once two systems talk to each other reliably, a lot of the manual work disappears without any orchestration logic on top. We scope which one you actually need before quoting, not after.
What we build
Compliance is scoped in week one, not retrofitted before launch. We have shipped HIPAA-compliant systems for US healthcare clients and GDPR-compliant products for European markets, and every integration is built with the encryption, access controls, and audit logging that GDPR, HIPAA, and SOC 2 require.
No single approach is right for every stack. Three patterns cover almost every case, and picking the wrong one is expensive to unwind. We choose against your system count, data volume, and how much custom logic the mapping needs, then tell you which one we recommend and why before we quote.
| Approach | Best fit | Strength | Where it breaks down |
|---|---|---|---|
| Point-to-point | Two systems, one or two data flows | Fast to build, low cost, direct | Every new system adds another connection to maintain; brittle past three or four systems |
| iPaaS (Make, Zapier, Boomi) | Standard connectors, moderate volume | Prebuilt connectors, quick to configure, hosted monitoring | Per-task pricing climbs with volume; limited custom logic and error control |
| Custom middleware | Four or more systems, complex mapping, high volume | Full control of retries, idempotency, and transformation from one hub | Higher upfront build; needs a clear owner |
Most stacks do not need custom middleware on day one. We often start point-to-point or on an iPaaS platform to prove one flow, then move to a middleware hub once the system count and volume justify it. That is the land-and-expand path baked into our pricing. All three approaches assume the systems you're connecting already expose an API or a structured export; if you need to build that API in the first place, see API development.
Integrations do not usually fail on the happy path. They fail on the retry, the rate limit, and the field that changed upstream without warning. We design for these before writing production code, not after a bad month-end.
Tell us the data flows that are currently manual. We'll map the integration and give you a fixed cost.
How it works
Every integration project follows the same four phases. Scope is locked and price is fixed before development starts.
We map every data flow: what moves between which systems, in which direction, at what frequency, and with what transformation. You leave week 1 with a written scope document, a fixed-price quote, and a clear list of edge cases we've already accounted for. No development starts without your sign-off.
We design the integration architecture - API patterns, authentication, retry logic, idempotency, and conflict resolution rules - before writing a line of production code. Decisions made here cost ten times less than the same decisions made in week 8.
Working integrations at a staging environment by the end of sprint one. QA runs in parallel with every sprint. We build monitoring dashboards so your team can see integration health without waiting for a user to notice a failure.
Production deployment with monitoring and alerting active on launch day. 8 weeks of post-launch support included in every project.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!
01 / 02
Proof
We publish our pricing. Where you land depends on scope, not negotiation:
What it costs
Real-time event-driven sync, scheduled batch synchronisation, and error monitoring with alerts, all scoped and priced before we write code.
Cost depends on the number of systems, the complexity of the data mapping, and the data volume. Start with a focused two-system integration, prove the pattern, then expand to the rest of your stack when you're ready.
Starting investment
Starts at $8,000
Most integrations scope out in a few days. Start with one data flow between two systems, then connect the rest of your stack once it's proven.
No hourly billing
Once we scope your first integration, that price is locked in writing. No hourly billing, no surprise invoices, and a scope change is always a priced request you approve first.
Team continuity
The team that scopes your integration ships it. No handoff after the contract is signed, and 8 weeks of post-launch support are included in every project.
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We start by mapping the data flows, what information needs to move between which systems, in which direction, at what frequency, and with what transformation. We identify where data models diverge between systems and design the mapping logic. We design error handling for the cases where source data is missing, malformed, or conflicts with destination data. Only after this mapping is done do we start building the integration.
We use the approach that fits the requirement: real-time API-to-API integration for use cases where latency matters (a new customer in the CRM should appear in the ERP within seconds); event-driven webhooks for systems that publish events; scheduled batch sync for use cases where near-real-time is sufficient (nightly reconciliation); and ETL pipelines for data warehouse loading or large-volume historical data migration. We use iPaaS platforms (Make, Zapier, Boomi) where they fit the requirement and build custom middleware where they don't.
We build error handling, retry logic, and monitoring into every integration. Failed sync events are captured, logged, and queued for retry. Persistent failures trigger alerts. We build dashboards that give your operations team visibility into integration health so they know when something breaks without waiting for a user to notice. We also design integrations to be idempotent, safe to retry without creating duplicate records.
A focused two-system integration, for example, syncing CRM contacts to an ERP or connecting a helpdesk to a project management tool, typically takes 3-6 weeks. A multi-system integration involving 4+ systems with complex data mapping and custom middleware takes 10-20 weeks.
A focused two-system integration typically runs $8,000-$25,000. A multi-system integration with complex data mapping and custom middleware typically runs $30,000-$80,000. Cost depends on the number of systems, the complexity of the data mapping, the frequency and volume of data exchange, and whether we're using iPaaS tooling or building custom. We scope every project before pricing it.
Work with us
Bring the rough workflow, half-built product, or messy brief. We will map the smallest useful first move, then send scope, timeline, and price in plain English.