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Systems we can work with

If it has an API, we can integrate it.

The problem

Disconnected systems charge you in hours: re-keying, reconciling, double-checking.

Sales works in the CRM. Finance works in the ERP. Operations keeps a spreadsheet nobody admits to. Each is right about its own version of events, and none of them match.

1

Siloed

Each system is right about its own version of the truth. Every hand-off is a person re-typing something a system already knows.

2

Connected

A defined contract between systems, not a nightly export and a spreadsheet. Each side stays insulated from the other’s changes.

3

Automated

The flow runs itself. Safe re-runs, failures that alert us before customers notice, and nobody re-keys anything.

Automated is the finish line

What comes back out.

  • One number the whole business trusts.

    Reporting, analytics and AI read the same governed layer. Finance and sales stop arguing about whose figure is right.

    $12.9M1

    Average yearly cost of poor data quality

  • A month-end close without the reconciliation spreadsheet.

    Matched records land upstream, so the manual patch-up work disappears.

    88%2

    Business spreadsheets that contain errors

  • Plain-English answers you can rely on.

    Governed, documented data that an AI can answer from without inventing figures.

    30%3

    Generative AI projects on course to be abandoned

  • Time back on work that earns.

    Routine questions like order status and availability get answered from live data on your customer portal instead of over the phone. The hours that frees go to selling and serving.

    28%4

    Of a sales rep's week is spent actually selling

Three services, one job.

Integration

Make the systems agree.

Contracts between your CRM, ERP and data platform that hold under load, partial failure and replay.

  • Idempotent syncs that reconcile on re-run
  • Server-side access enforcement, not config alone
  • Per-run audit trails for traceability

Development

Build only what has to be built.

Custom work where the platform genuinely runs out, and configuration everywhere else, so the footprint you maintain stays small.

  • Declarative first, code where it earns its place
  • Full test coverage before it ships
  • Business rules changeable without a release

Maintenance & takeover

Keep it reliable, whoever built it.

The unglamorous work that decides whether an integration is still trusted a year on: monitoring, reconciliation and runbooks — on systems we built and on ones we take over from someone else.

  • Documented runbooks your team can act on
  • Failure alerting that names the actual cause
  • Release governance and CI/CD discipline

How we work

The standard we publish.

Built to be handed over. Most of what separates an integration that lasts from one that gets quietly replaced is decided before any code ships, and every engagement ends with your team running the system without us. This is the standard we hold ourselves to, written down so you can hold us to it too.

  • Idempotent by default
  • Tests before handover
  • Access enforced server-side
  • An audit trail per run
  • Change without a release
  • Runbooks your team can act on
1

Scope

A fixed scope you can hold us to.

2

Build

The people who scoped it build it.

3

Validate

Re-runnable, monitored, tested.

4

Handover

Runbook and access end up in your repo.

Common questions

Questions we get asked.

Short answers to what comes up most in scoping. The longer versions live in the reference architectures and the engagement models.

How do you keep two systems in step without creating duplicates?

We match records on a stable key rather than the order they arrive, and write with create-or-update semantics. Run the job twice and it reconciles instead of stacking copies. Run it after a failure and it resumes where it stopped.

Read the case study
Why does every system hold its own version of the customer?

Each system captured the customer at a different moment, and the copies have drifted since. We resolve them with match keys and per-field survivorship rules into one golden record in the data platform, then sync it back so every system reads the same name, address and history.

Read the case study
How does a closed deal become an order and an invoice without anyone re-typing it?

The won deal flows to an order, the order flows to an invoice, and fulfilment and payment status flow back to the deal. Nobody re-keys anything, so sales and finance read the same numbers instead of drifting apart.

Read the case study
How do people ask the business questions without the AI inventing numbers?

A semantic layer defines the terms and retrieval binds each answer to governed data, so the assistant speaks from your records rather than from memory. Every answer traces back to a source, and the assistant declines when the data cannot support one.

Read the case study
Why not just report straight out of the ERP?

Operational systems make poor reporting layers. Heavy queries slow the system that is running the business, history is limited, and you cannot join cleanly to data held in other systems. We land the data in a governed layer instead, where it conforms to shared definitions and reporting cannot disturb operations.

Read the case study

Tell us what’s not right between your systems.

No obligation, no pitch deck. We reply within one business day.

Location

Brisbane, QLD. Working across Australia.

Direct enquiry

hello@syonix.com.au

We reply within one business day.

Independent

The people who scope the work build the work.