When duplicate data entry becomes an integration problem
How to map where information is re-typed, decide which system owns it, and tell whether you need an integration, a process change or nothing at all.
When the same customer, order or employee record is keyed into several systems, errors and delays follow, and nobody is sure which copy is right. We connect business applications through supported APIs, middleware and event-driven patterns, design for the day something fails, and hand over documentation your team can operate.
System integration means getting separate applications to share information reliably, so that an event in one system, such as a paid invoice, a new hire or an approved order, updates the others without someone retyping it. In a larger organization that can mean dozens of applications: ERP, CRM, finance, HR and payroll, the IT service desk, e-commerce, identity and a data warehouse.
The connection itself is often the smallest part. The harder questions are which system owns each piece of information, what should happen when records conflict, how duplicates are recognized, and who finds out when something fails. We answer those first. If you are not sure whether you need an integration at all, start with when duplicate data entry becomes an integration problem, then work through the integration readiness checklist.
We pick the simplest pattern that will stay reliable at your volumes, and we often combine several in one program.
This example uses invented data. It shows how we document an integration, not work done for a client.
Business event: a customer accepts a quote on a fictional distributor's website.
| Step | System | What happens | Owner of the data |
|---|---|---|---|
| 1 | Website | Customer accepts quote Q-1042 | Website (acceptance only) |
| 2 | CRM | Deal Q-1042 moves to "Won"; contact updated | CRM owns contacts and deals |
| 3 | ERP | Sales order and invoice created for customer ID C-2291 | ERP owns orders, invoices and payments |
| 4 | CRM | Invoice number and status copied back for sales visibility | Read-only copy in CRM |
Identifiers. Each customer carries one shared ID (C-2291) stored in both systems. Matching on email address alone is avoided because people change jobs and share inboxes.
When things fail:
Reconciliation: each morning, a report lists won deals from the previous day that have no matching sales order. An empty report is the goal; anything listed gets fixed at its source.
Limits: API rate limits and available features depend on each vendor's plan. For example, HubSpot publishes different API limits for different plans.
Integrations move personal and financial information, so they sit inside your privacy obligations under PIPEDA and any provincial law that applies to you, such as Quebec's Law 25. We use encrypted connections, least-privilege service accounts and managed secrets, and we design logs to record what moved without copying sensitive content unnecessarily. Where data residency matters, integration components can run in Canadian cloud regions operated by AWS, Microsoft Azure and Google Cloud. Region choice supports residency, but it does not on its own mean every connected vendor keeps data in Canada, so we check each one with you. This is general information, not legal advice.
We work with ERPs, CRMs, finance, HR, e-commerce and identity platforms that provide documented APIs or supported connectors. Typical examples include Prometheus and ERPNext, HubSpot, Salesforce, NetSuite, Microsoft 365 and AWS services. Mentioning a product here does not mean we hold partner status with that vendor, and it does not replace checking what your specific subscription allows. Once systems are connected, many organizations go on to automate the workflows that run across them.
The exact list is agreed in writing for each project. These are the usual deliverables and the usual boundaries.
Most delays in this kind of work come from access and decisions, not from the technical build. Knowing these early keeps the project predictable.
Larger programs are delivered one business event at a time, so each flow is proven before the next is added.
Inventory the systems, identify the business events that cross them, and trace one priority event in detail, including who enters what, where it goes and where it breaks today.
Output: Integration map and source-of-truth decisions.
Confirm APIs, limits, authentication and hosting on your actual plans, then choose the pattern for each flow and how it will be monitored.
Output: Integration design and feasibility note.
Build against sandboxes where possible. Test normal records, duplicates, missing fields, expired credentials, rate limits and each system being unavailable.
Output: Working integrations and test evidence.
Switch on in a controlled way, compare records between systems for an agreed period, and fix mismatches at their source.
Output: Reconciliation results and go-live sign-off.
Walk your team through the runbook, credential handling and alert routing, or move the integrations into ongoing support if you choose.
Output: Runbook, handover session and an agreed support arrangement.
We do not publish package prices. Each estimate is based on an agreed scope, in Canadian dollars, with taxes shown separately. These are the things that move the number most:
If a supported connector or integration platform handles your case reliably, it is usually the better choice because others can maintain it. Custom services make sense for logic specific to you, high volumes, or where platform licensing outweighs the benefit. We compare the options in the design stage using your actual plans and volumes.
The integration should detect the failure, keep the message, retry with increasing delays and alert someone if it keeps failing. Designing for failure is a large part of the work, and we test it before go-live.
Usually one system per type of information: for example, the CRM for contacts, the ERP for orders and invoices, and the HR system for employees. We help you decide field by field, and the decisions are written down.
Yes. These products publish APIs, and we confirm what your specific plan allows before committing to an approach. We do not hold partner status with these vendors, and licences are bought from the vendor.
They can run in your cloud tenant, on your own infrastructure or on a managed integration platform. Where data residency matters, integration components can be hosted in Canadian cloud regions, but some SaaS vendors process data elsewhere, so we review each vendor's terms with you.
Your team, another provider, or Promatics under a managed-service agreement. The runbook is written so that any competent team can take over.
How to map where information is re-typed, decide which system owns it, and tell whether you need an integration, a process change or nothing at all.
Everything an integration project needs settled before it can be priced, as a checklist you can fill in with your team.
Automate repetitive, rule-based workflows with human approval where it matters, a clear audit trail and a tested manual fallback.
Describe the systems involved and where information gets re-entered or goes missing. We will reply to arrange a conversation about whether integration is the right fix.