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Your systems each hold part of the truth and none of them talk

Sales opens HubSpot, finance opens the billing system, support opens the helpdesk, and every cross-functional question needs someone to reconcile three exports. The data exists. It just never meets.

Short answer

How do we connect HubSpot to our ERP, billing and support systems?

Start by deciding which system owns each field, because most integration failures are ownership disputes rather than technical problems. Then choose the mechanism per connection: a native HubSpot app where one exists and covers your fields, a workflow platform such as n8n, Zapier or Make for moderate volume with simple logic, or a custom API integration with webhooks where volume, transformation or error handling matter. Every connection needs field-level mapping, a defined sync direction, conflict rules, and error logging with alerting. Most stacks take three to six weeks to integrate properly, including testing in a sandbox portal first.

01

How this shows up

If four or more of these are true, this is your problem.

  • Renewal and payment status invisible to the people having renewal conversations
  • Support ticket history missing from the customer record
  • Manual CSV exchanges between systems on a weekly rhythm
  • Conflicting customer records where each system thinks it is right
  • Zaps and scripts built by someone who has since left
  • No alerting when a sync fails, so failures are found by accident

02

Why it happens

  • No system of record decision

    If two systems can both edit the same field, they will, and the last writer wins at random. Field-level ownership has to be decided before anything is wired.

  • Point-to-point sprawl

    Each new tool gets its own ad-hoc connection. Ten tools produce dozens of brittle links with no shared error handling.

  • Wrong mechanism for the volume

    A Zap is fine for fifty records a day and catastrophic for fifty thousand. Rate limits, retries and batching need designing when volume is real.

  • No observability

    Most homegrown integrations have no logs and no alerts, so silent failures accumulate until someone notices missing data downstream.

03

What it costs you

Weeks

3–6

Typical integration build

Customer record

1

Across every connected system

Logged syncs

100%

With alerting on failure

Weekly CSV swaps

0

Once live

The cost of a disconnected stack is paid in coordination: reps who cannot see whether an invoice is overdue, support escalations that leadership hears about from the customer, and an ops team spending days a month moving files between systems that should be talking directly.

04

How we fix it

  1. 01

    Map the data model across systems

    Which object in HubSpot corresponds to what elsewhere, which fields are shared, and which system owns each one. This document is the integration.

  2. 02

    Choose the mechanism per connection

    Native app, workflow platform, or custom API and webhooks — selected on volume, transformation complexity and error handling needs, not on habit.

  3. 03

    Build in a sandbox

    Every integration is developed and tested against a sandbox portal with representative data before it touches production records.

  4. 04

    Handle failure explicitly

    Retries, dead-letter handling, idempotency so replays do not duplicate records, and alerting to a channel a human actually reads.

  5. 05

    Document and hand over

    Runbooks describing every connection, its owner, its failure modes and how to re-run it, so your team is not dependent on us to keep it alive.

05

What changes afterwards

  • One customer record enriched by every system that knows something about them
  • Renewal, billing and support context visible in the CRM at the point of conversation
  • Sync failures that page someone instead of silently losing data
  • No more scheduled CSV exchanges between departments

Questions

People ask us this

Do we need custom development or will Zapier do?

It depends on volume and logic. Simple, low-volume connections with no transformation are fine on Zapier, Make or n8n. High volume, complex field mapping, or strict error handling requirements justify a custom API integration.

What if our other system has a poor API?

It happens, particularly with older ERPs. Options include scheduled file-based exchange handled properly with validation, a middleware layer, or a database-level extract. We scope this during discovery rather than promising real-time and discovering the limitation later.

Who maintains the integration afterwards?

Your team, with our documentation, or us under a managed services retainer. Either way you get runbooks — we do not build things only we can operate.

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Related challenges

Next step

Tell us what is actually going wrong

Thirty minutes, no pitch deck. We will tell you whether this is a quick fix, a project, or something you can do yourself.