Enterprise Integrations

Enterprise integration services that keep your ERP, CRM and warehouse in agreement

BinaryBrill is an ERP CRM integration company providing enterprise integration services to connect enterprise systems you already run — ERP, CRM, warehouse, billing, payroll and e-commerce — including the legacy SOAP, IDoc, EDI and SFTP protocols those platforms actually speak, built by our in-house senior engineers. This is enterprise application integration for the systems you name and already own; if you're instead building or exposing your own API for outside consumption, that's custom API development covered on our separate API Development & Integration page.

A senior engineer replies within 24 hours — not a sales rep.

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Why your ERP, CRM and warehouse tell three different stories

The same customer exists three times, slightly differently

The CRM has one spelling of the company name, the ERP has another, and the billing system has a third record nobody has looked at in a year. There's no agreed source of truth, so reconciliation is really a person with a spreadsheet, and the answer to "how many active customers do we have" takes a day and still gets challenged in the meeting.

The nightly batch fails, and nobody finds out until morning

A scheduled SFTP drop or a batch job quietly stops running, and the systems on either end carry on believing the last successful sync was fine. Orders, stock counts or payroll figures drift out of date for a working day before anyone downstream notices something is wrong.

A retry created a duplicate invoice

The point-to-point integration built years ago has no idempotency built in, so when a request times out and gets retried, it creates a second record instead of recognising the first attempt. Finance now double-checks integration output by hand, which defeats the point of automating it.

The platform that speaks SOAP and flat files was never going to get a modern connector

Your ERP's vendor stopped investing in its integration story a decade ago, and the connector marketplace assumes systems that expose a clean REST API. Meanwhile the actual interface you have to work with is a WSDL file, an IDoc format, or a CSV dropped on a schedule — and it isn't changing.

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How we deliver enterprise integration services that actually stay in sync

Connecting two enterprise systems is the easy part. Deciding which one owns each piece of data, what happens when a message fails, and how you'd know if they've quietly drifted apart is the work that actually determines whether the integration holds up.

One source of truth per record, named explicitly

For every entity that exists in more than one system — customer, order, item, invoice — we name which system owns it and how the others receive updates. Writing this down for a real organisation is harder than it sounds, and skipping it is how the duplicate-record problem gets rebuilt inside the new integration.

API and event-driven integration where the system supports it

REST, webhooks and message queues such as Kafka or RabbitMQ, used wherever the platform on the other end actually exposes them. Modern integration patterns applied where they fit, not forced onto a system that doesn't offer them.

Legacy protocols handled as they are, not routed around

SOAP and WSDL services, SAP IDocs, EDI with trading partners, and flat files over scheduled SFTP — built to the standard the platform actually speaks rather than wrapped in an abstraction that pretends the protocol is something newer.

Idempotent, reconciled and visible when something fails

Retries with backoff, idempotency so a repeated message can't create a duplicate, dead-letter queues for what still fails, and a reconciliation dashboard that proves two systems currently agree. Middleware or point-to-point is chosen on the number of endpoints involved, not on which pattern is fashionable.

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What this covers

Pick the piece you need, or bring us the problem and we'll tell you which applies.

ERP & CRM Integration

Keeping customer, order and product records in agreement between your CRM and ERP, so a deal closing in one system creates the right records in the other without someone re-keying it in finance. We work with the major platforms and their existing connector limitations, rather than assuming a clean API that isn't actually there.

  • Customer, order and product records kept in agreement, with one system named the source of truth per field
  • Quote-to-cash flows automated from opportunity close through to invoice
  • Support for Salesforce, Microsoft Dynamics 365, SAP and NetSuite, including their real-world connector limits
  • Bi-directional sync where it's genuinely needed, one-directional where it isn't — decided deliberately

Enterprise Application Integration via APIs & Events

Enterprise application integration for the systems that do expose a modern interface: REST endpoints, webhooks, or an event stream. Used wherever the platform actually supports it, so more than two systems can react to the same change without a tangle of direct point-to-point calls.

  • REST and webhook integration for systems that expose a usable, modern API
  • Event streaming via Kafka or RabbitMQ where several systems need to react to one change
  • Change-data-capture where a system has no usable API but its database can be observed safely
  • Architecture that scales to several connected systems, not just a single pipe between two

Legacy Protocol Integration: SOAP, EDI, IDocs & SFTP

Connecting the enterprise systems that were never going to get a modern connector, on the terms they actually operate. SOAP services, EDI with trading partners, SAP IDocs and scheduled SFTP drops are treated as first-class integration work, not something to be routed around or apologised for.

  • SOAP and WSDL-based services integrated on their own terms
  • EDI (X12, EDIFACT) with trading partners for purchase orders, ASNs and invoices
  • SAP IDoc processing for the ERP integrations that still run on it
  • Scheduled SFTP and flat-file drops replaced with monitored, alerting jobs where the format itself can't change

Integration Reliability & Reconciliation

Most integration pain isn't the connection itself, it's what happens when it fails: a partial sync at 3am, a duplicate created by a retry, two systems each convinced they hold the current version. We design for those cases first, with a reconciliation view that shows agreement rather than assuming it.

  • Idempotent processing so a retried message can't create a duplicate order or invoice
  • Dead-letter queues that surface a failed message to a named owner instead of losing it silently
  • Scheduled reconciliation jobs comparing record counts and key fields across systems
  • Dashboards that show whether two systems currently agree, not just whether the last sync ran

Middleware & Enterprise Integration Architecture

An honest recommendation on middleware versus point-to-point, based on the number of endpoints actually involved rather than architectural fashion. Where an integration platform earns its overhead we implement it properly; where two systems and a queue are enough, we don't sell you more.

  • A clear recommendation on middleware versus point-to-point, with the reasoning shown
  • Integration platforms (MuleSoft, Dell Boomi, Apache Camel) implemented where the endpoint count justifies them
  • A migration path when point-to-point integrations you already have have outgrown themselves
  • Every integration's contract, owner and failure behaviour documented somewhere other than one person's memory

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The stack we build on

Chosen to fit the problem — not because it's what we used last time.

Enterprise platforms we connect

  • SAP
  • Salesforce
  • Microsoft Dynamics 365
  • NetSuite
  • Oracle E-Business Suite
  • Workday

Modern integration & messaging

  • REST
  • Webhooks
  • Apache Kafka
  • RabbitMQ
  • Azure Service Bus
  • AWS EventBridge

Legacy protocols & formats

  • SOAP / WSDL
  • EDI (X12, EDIFACT)
  • SAP IDocs
  • Flat files / CSV
  • SFTP

Middleware & platform

  • MuleSoft
  • Dell Boomi
  • Apache Camel
  • Debezium (CDC)
  • Docker
  • Kubernetes

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How we'll work together

Every stage ends with something in your hands — not a status update.

  1. 01

    Map the systems and the records that cross them

    We chart every system in play, what each one owns, the integrations already running between them — including the undocumented ones — and where past failures have happened. This usually surfaces at least one integration nobody remembered still existed.

    You get: A system and integration map, a data ownership matrix, and an inventory of the legacy protocols actually in use.

  2. 02

    Design the contract and the conflict rules

    For each integration we decide which system is the source of truth, how often data moves and in which direction, and what happens when both sides have changed the same record. Middleware versus point-to-point is decided here, based on how many endpoints are actually involved.

    You get: An integration design document, explicit conflict-resolution rules, and a chosen architecture with the reasoning behind it.

  3. 03

    Build against sandboxes with fault injection

    Connectors and middleware are built and tested against sandbox or test instances of the real platforms, including their legacy protocol quirks, with failures deliberately injected — timeouts, partial batches, malformed IDocs — so we see the failure behaviour before go-live.

    You get: A staging environment, automated integration tests, and reconciliation reports from test runs comparing both systems.

  4. 04

    Go live with reconciliation and alerting

    Integrations cut over one at a time rather than all at once, with dashboards showing whether the connected systems currently agree and alerting that reaches a named person when a message lands in the dead-letter queue.

    You get: Production deployment, reconciliation dashboards, alerting configuration, and runbooks handed over to your team.

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Where we've applied this

Retail & e-commerce

Storefront, ERP and warehouse kept in agreement on price and stock, so an oversell is caught before the order ships rather than after.

Manufacturing

ERP connected to shop-floor and procurement systems via IDocs and EDI, so a purchase order doesn't have to be typed into two systems.

Distribution & wholesale

EDI with trading partners — purchase orders, advance ship notices and invoices — kept flowing without a person re-keying line items.

Professional services

CRM, timesheets and billing joined into one flow, so a closed deal becomes an invoice without a manual handoff between three tools.

Healthcare

Patient administration systems connected to billing and insurance clearinghouses over the EDI transactions payers require.

Logistics

TMS, WMS and ERP kept synchronised with carrier EDI transactions, so a dispatch delay shows up in one place instead of three.

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Questions buyers ask us

Do we actually need enterprise integration services, or will our systems' built-in connectors do?

Built-in connectors are worth trying first, and we'll say so if one genuinely covers your case — usually a simple one-directional sync between two mainstream platforms. They stop being enough the moment you need conflict handling, more than two systems involved, or a legacy protocol the connector was never built for. That's the point where dedicated integration work earns its cost.

No. If you're building or exposing an API that your own apps, partners or customers will consume — or writing the client-side code to integrate a payment provider or another SaaS product — that's API design and integration work, covered on our API Development & Integration page. Enterprise integration services are specifically about connecting the named enterprise systems you already run to each other — ERP, CRM, warehouse, billing, payroll, e-commerce — including the legacy protocols those platforms actually speak: SOAP, IDocs, EDI, flat files, scheduled SFTP. Different systems, different protocols, different failure modes.

It comes down to the number of endpoints. Two or three systems with straightforward sync needs are usually cheaper and simpler as direct, well-built point-to-point integrations — a platform's licence and operational overhead isn't earned back. Once you're connecting several systems that all need to see the same events, a middleware platform starts paying for itself in reduced tangle. We work that comparison during design rather than defaulting to either answer.

Mainly three things: how many systems are involved and how many of them speak a legacy protocol rather than a modern API, how much conflict-resolution logic is needed when two systems can both change the same record, and how much of the current integration landscape is undocumented and has to be discovered first. A single well-scoped integration between two systems is often a few weeks; a programme connecting four or five systems, including legacy protocols, typically runs a few months, delivered integration by integration rather than all at once.

Data stays within your own infrastructure and accounts wherever the architecture allows; middleware, where used, runs in your cloud environment rather than a shared multi-tenant service unless you specifically choose otherwise. Fields are encrypted in transit as standard, access is scoped to what each integration actually needs, and every sync is logged so a compliance review can trace what moved, when, and why.

When nobody has actually agreed which system is the source of truth for the data in question — integrating two systems that disagree just automates the disagreement faster. It's also premature if one of the systems involved is genuinely being replaced soon; in that case the sequencing question belongs on our modernisation work first, so you're not building an integration for a system that won't exist in a year.

Yes — that's most of the actual work on this kind of project. We build to the protocol the platform speaks rather than trying to force a modern shape onto it: SOAP and WSDL services integrated on their own terms, SAP IDoc processing, EDI transactions with trading partners, and scheduled SFTP or flat-file drops replaced with monitored jobs where the format itself has to stay the same.

Our own in-house engineers in Sahibzada Ajit Singh Nagar, Punjab — 45+ of them, with over a decade of combined delivery experience, delivering for clients in 15+ countries. Nothing is subcontracted. You meet the engineers who will be on your project before you sign, and the person demonstrating the work each sprint is the person who built it.

It gets caught rather than discovered. A failed message goes to a dead-letter queue instead of vanishing, alerting reaches a named owner rather than sitting in a log nobody watches overnight, and the reconciliation dashboard shows exactly which records are out of step. Most clients keep us on a support arrangement to handle and clear these as they come up; others take the runbook and handle it with their own team.

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Tell us which systems you need talking to each other

Describe the systems you run and where the manual re-keying or the overnight file drop currently lives. A senior engineer replies within 24 hours with an approach — including an honest read on whether the real problem is the integration or the system underneath it.