Systems Integration

Make the tools you already pay for talk to each other

Systems Integration

API integrations, data syncs, and middleware that keep your CRM, ERP, billing, and support systems consistent - without a brittle chain of one-off scripts.

Signs This Applies To You

If more than one of these sounds familiar, this is the right service to talk about.

The same customer exists three times under three slightly different names

Finance and sales report different numbers for the same month

A nightly sync fails quietly and is discovered days later

Every new tool means writing yet another one-off connector

Nobody is willing to modify the script that keeps two systems aligned

The Problem

Every new SaaS tool promises integration and delivers a webhook. A few years in, you have a dozen half-working connections, three sources of truth for a customer record, and nobody willing to touch the script that syncs them.

Our Approach

We replace the tangle with a documented integration layer: explicit schemas, idempotent writes, reconciliation jobs that catch drift, and alerting when an upstream vendor changes something.

What The Work Covers

Canonical data model

One agreed shape for customers, orders, products, and invoices, with each system mapped to that shape rather than to every other system in turn.

Idempotent sync pipelines

Writes that can be replayed safely, so a retry after a timeout does not create a duplicate order, a second shipment, or a double charge.

Reconciliation and drift detection

Scheduled comparisons that report records out of step between systems, so divergence arrives as a report you can act on instead of a surprise at quarter end.

Event and webhook infrastructure

Durable queues, dead-letter handling, and replay, so a downstream outage delays events rather than losing them.

Internal API layer

A documented interface your own teams can build against, so the next integration starts from a contract rather than from scratch.

How It Runs

01.Integration map

We inventory every system, every data flow between them, and every place the same record exists under a different name.

02.Contract design

We define the canonical shape of your core entities so each system maps to one agreed schema rather than to each other.

03.Build and reconcile

Integrations are built idempotent, with scheduled reconciliation that reports mismatches rather than hoping they never happen.

04.Operate

Alerting, dashboards, and a documented escalation path so an API deprecation notice is a ticket, not an outage.

Outcomes We Aim For

One consistent view of customers and orders

Syncs that reconcile themselves instead of drifting

Vendor changes absorbed in one place, not ten

When This Is Not The Right Fit

We would rather say so early than take the work and disappoint you later.

Point-to-point hacks intended to last a fortnight

Vendors who expose no API, no webhook, and no export

Warehouse and BI modelling, which is a related but separate discipline

Cases where the real requirement is to retire one of the systems entirely

What You Get

Integration map of current systems and data flows

Middleware or iPaaS build with schema contracts

Reconciliation jobs and drift alerting

API documentation for internal consumers


Engagement: Per-integration or platform retainer

Timeline: Typical integration live in 3-5 weeks

Discuss This Service

Typical Stack

RESTGraphQLWebhooksKafkaSalesforceHubSpotNetSuite
3-5 wks

For a typical integration to reach production

1 place

Where a vendor API change has to be absorbed

Daily

Reconciliation across your systems of record

In Practice

Where Integration Earns Its Keep

01.CRM to ERP alignment

Opportunities flowing from Salesforce into NetSuite with product and pricing validated on the way, plus a nightly reconciliation report for finance.

02.Commerce to fulfilment

Orders, stock levels, and shipment status kept consistent across a storefront, a warehouse system, and two carriers with different status vocabularies.

03.Support and billing

Entitlements pushed from billing into the helpdesk, so an agent can see what a customer actually pays for before answering them.

04.Post-acquisition trading

Two companies on different stacks trading as one. A translation layer bought the time to consolidate properly rather than in a panic.

Related Work

Where We Have Done This

Logistics

From 400 manual order entries a day to zero

A third-party logistics operator was rekeying every customer order from email and portals into its warehouse system. We replaced the whole path with a monitored ingestion pipeline.


Read Case Study

Retail & e-commerce

One customer record across six systems

Storefront, ERP, helpdesk, email, loyalty, and warehouse each held a different version of the customer. We built the integration layer that reconciled them.


Read Case Study

Questions

Integration Questions We Get Asked

Sometimes. At modest volumes a managed platform is cheaper than code. Above that the licence cost overtakes the engineering cost quickly. We size it during the integration map rather than assuming either way.

With whatever the vendor does expose: scheduled exports, an SFTP drop, a database replica, or in the worst case a supported automation path. We document that fragility rather than hiding it.

De-duplication is scoped as its own piece of work, using your rules on which source wins. Automating on top of dirty data only spreads it faster.

Yes. Integrations can run in your cloud account under your access controls, which is usually the right answer in regulated environments.

A reconciliation job compares both sides on a schedule and reports mismatches by count and by record. It is the difference between believing you are in sync and knowing it.

Get In Touch

Have a Integration Problem?

Two colleagues shaking hands across a desk at the end of a meeting

Tell us what is not working. The more concrete you can be about the process or the system, the more useful our first reply will be. We reply to every enquiry within one business day.

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