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?
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
The cost of disconnected systems is rarely visible in a single line item. It's spread across dozens of daily actions: the sales rep manually copying a deal from the CRM into the order management system, the finance analyst spending Tuesday morning pulling data from three systems into a spreadsheet, the support agent asking the customer for information that's already in the CRM.
Add this up across a team of 20 people over a year and the cost is typically well in excess of the integration build cost. The problem is that nobody owns the inefficiency -- it's distributed across every person who touches the disconnected systems every day.
Integration projects pay for themselves quickly. The question is usually not whether to build them but in what order. For UrShipper, we built integrations with 70+ carrier APIs and migrated 200+ customers from a legacy system without service disruption. For a petrol station operator with 40+ sites, we built an AI-powered invoice processing integration that automated 20,000+ supplier transactions -- what previously required manual data entry across multiple systems now runs without intervention.
Connecting your customer-facing CRM to your back-office ERP -- syncing customer records, orders, invoices, and support history across systems. Eliminating the manual handoff between sales, operations, and finance.
Connecting your e-commerce platform to your inventory management, warehouse management, and shipping systems. Order data flows to fulfilment automatically; stock levels update in the storefront in real time; tracking information returns to the customer-facing order portal.
Connecting payment providers, subscription billing systems, and accounting platforms. Revenue reconciliation, invoice generation, and financial reporting without manual data export and import cycles.
Connecting customer support platforms to your CRM, product, and billing systems. Support agents see customer history and subscription status without leaving their helpdesk. Ticket outcomes trigger actions in your CRM or operations tools.
Building the pipelines that move data from your operational systems into a data warehouse or BI platform -- Snowflake, BigQuery, Redshift, or Looker. Enabling analytics that span multiple data sources without manual data compilation.
Custom integration layers for systems that don't have clean APIs -- legacy systems, proprietary platforms, or internal tools with non-standard data formats. We build the middleware that makes any system connectable.
Tell us the data flows that are currently manual. We'll map the integration and give you a fixed cost.
API Development -- Building the APIs that make your systems integrable
Business Process Automation -- Automating processes that run across your connected systems
AI Workflow Automation -- Adding AI decision layers to integration workflows
ERP Development -- Custom ERP modules when off-the-shelf doesn't fit
Tell us which systems need to connect and what data needs to flow. We'll scope the integration and give you a fixed cost.
Frequently asked questions
We integrate CRM systems (Salesforce, HubSpot, Zoho), ERP systems (SAP, NetSuite, Microsoft Dynamics, Odoo), helpdesk and service management platforms (Zendesk, ServiceNow, Freshdesk, Jira), accounting systems (QuickBooks, Xero, Sage), e-commerce platforms (Shopify, WooCommerce, Magento), payment providers (Stripe, Adyen), marketing automation tools, and custom internal applications. If a system has an API or can export data in a structured format, we can build an integration with it.
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.