Enterprise Systems

The systems your business runs on, made worth trusting

ERP, CRM, Salesforce, SAP, Odoo and the automation that stitches them together — implemented so the data in them is accurate and the people who have to use them do. Often that means configuring a platform you already pay for rather than building anything new, and we will say so.

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

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What goes wrong with systems of record

Nobody owns the customer record

The CRM has one version of the account, billing has another, and the support desk has a third with a different spelling. Each was correct when it was typed. Without an agreed owner for each entity and a defined direction of sync, the three drift apart quietly and every report built on top of them inherits the disagreement.

The people who configured it are gone

An implementation partner delivered the system three years ago and left behind a live instance, no design documentation and a set of decisions nobody can now explain. Custom objects exist whose purpose is folklore. Anyone touching the configuration is guessing at what depends on what, so nobody touches it.

You are paying for modules nobody opened

Procurement is licensed, the service module is switched on, and the team still runs the work in a shared drive because the standard flow needed four fields they don't have. Shelfware isn't a licensing problem. It's a signal that the implementation stopped at go-live instead of following the work into week six.

Every small change becomes a six-week ticket

Adding a field to a form or changing an approval threshold goes to a vendor queue, gets scoped, gets scheduled, and lands next quarter. Meanwhile the business changed again. When routine change costs that much, teams stop asking, and the system slowly stops describing the company it was built for.

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How we approach enterprise systems

These projects almost never fail on engineering. They fail because the data was never made trustworthy and the people expected to feed it were never given a reason to. We plan for both before we write anything.

Configure first, build only the genuine gap

Salesforce, SAP and Odoo already model most of what a business does, and configuration is cheaper to buy, cheaper to maintain and survives upgrades. We audit what you own, work out how much of your requirement the platform covers as-is, and reserve custom code for the part that is actually yours. Plenty of these audits end with a smaller invoice than the client expected.

Master data gets an owner before it gets a pipeline

For every entity that matters — customer, product, supplier, employee — we agree which system is authoritative, which fields it governs, and what happens when two systems disagree. Deduplication, validation and survivorship rules are written down and enforced at entry. Integrations built on that hold; integrations built without it turn into a reconciliation job someone does by hand.

Adoption is designed, not trained in at the end

We watch how the work is done today, cut the clicks that make people avoid the system, and pilot with one team who use it for real before anyone else is asked to. Training happens by role, not by module. After go-live we look at who is actually entering data and fix what the numbers expose, rather than declaring success at cutover.

You should be able to change it without calling us

Configuration decisions get documented with the reasoning attached, admin roles get trained properly, and automations are built where your team can read and adjust them. We would rather your internal admin handle the routine changes and keep us for the work that needs engineers. That is what stops the six-week ticket problem coming back.

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What this covers

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

Custom ERP Development

Finance, inventory, procurement and HR consolidated into one system of record, built bespoke or on Odoo and ERPNext depending on how unusual your operations genuinely are. We phase the rollout so each stage stands on its own and the business keeps trading throughout. There is a full page on how we run ERP programmes — start there if this is your main question.

  • Phased module rollout with a cancellable break between each stage
  • Data migration run repeatedly into staging until finance signs off the balances
  • Bespoke build or package customisation, decided on cost rather than preference
  • Read the dedicated ERP development page for the full delivery approach

CRM Development

A CRM shaped around how your team actually wins business, whether that means customising Salesforce or HubSpot properly or building something your sales motion needs and no package models. The test is simple: reps keep it current because it gives them something back. Our dedicated CRM page covers the build-versus-configure decision in detail.

  • Pipeline stages defined as observable events, not sentiment
  • Deduplication and merge rules applied before contact data goes live
  • Marketing, support and billing joined into one account view
  • See the dedicated CRM development page for the full picture

Salesforce Development

Salesforce work that goes beyond clicks: custom objects and flows where declarative tools fit, Apex and Lightning Web Components where they do not. Most engagements start by unpicking years of accumulated customisation — orphaned fields, automations triggering other automations, validation rules nobody can justify. We reduce that surface before adding to it.

  • Org health review covering technical debt, unused metadata and governor limit risk
  • Apex, triggers and Lightning Web Components built with test coverage that means something
  • Sales Cloud, Service Cloud and Experience Cloud configured against your real process
  • Two-way integration with ERP, billing and support systems, with sync monitoring

SAP Development

Extension, integration and support work around SAP for organisations whose finance or supply chain already sits there. The usual brief is that standard SAP nearly fits, and the gap is being covered by spreadsheets and manual re-keying. We close that gap in a way that survives an upgrade rather than complicating the next one.

  • Custom reports, forms and transactions built where standard functionality falls short
  • ABAP development alongside side-by-side extensions that keep the core clean
  • Interfaces to CRM, warehouse, e-commerce and banking systems via APIs, IDocs or file exchange
  • Master data cleansing and load programmes with reconciliation you can audit

Odoo Development

Odoo is often the cheapest honest answer for a growing business: accounting, inventory, purchasing and sales that work on day one, with custom modules only where your process is genuinely distinct. The failure mode is over-customisation — teams fork core behaviour and then cannot upgrade. We build modules that sit alongside the core instead of inside it.

  • Implementation and configuration across accounting, inventory, purchase, sales and manufacturing
  • Custom modules written to survive version upgrades rather than block them
  • Version migrations, including moving heavily customised instances forward
  • Hosting on Odoo.sh or your own infrastructure, with backups and monitoring in place

Workflow Automation

The processes that live in email threads and shared spreadsheets — purchase approvals, onboarding, credit checks, document routing — turned into something with a state, an owner and an audit trail. Automation is worth doing when it removes a handoff, not when it merely hides one. We map the process first and usually find steps worth deleting outright.

  • Approval chains with delegation, escalation and a record of who decided what
  • Document generation and routing tied to the system that holds the source data
  • Scheduled reconciliations and exception reports that raise a task instead of an email
  • Bots and scripted integrations for systems whose only interface is a screen or a file drop

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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

  • Salesforce
  • SAP
  • Odoo
  • Microsoft Dynamics 365
  • ERPNext
  • HubSpot
  • Zoho

Extension & custom build

  • Apex
  • Lightning Web Components
  • ABAP
  • Python
  • Django
  • .NET
  • Node.js

Integration & data

  • REST APIs
  • OData
  • SOAP
  • Webhooks
  • Apache Kafka
  • PostgreSQL
  • SQL Server

Automation & reporting

  • Camunda
  • n8n
  • Power Automate
  • Celery
  • Power BI
  • Metabase
  • Apache Superset

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How we'll work together

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

  1. 01

    Audit the landscape you already have

    We inventory the systems in play, what each is licensed for, what is genuinely being used, and where the same record exists in more than one place. Usage data usually contradicts the org chart, and that contradiction is the most useful thing we find in week one.

    You get: A system landscape map, a master data ownership matrix, and a written configure-versus-build recommendation with the cost difference attached.

  2. 02

    Model the process with the people who run it

    Approvals, exceptions and the informal workarounds get documented alongside the official flow. We then reflect that back as configuration in a sandbox so process owners can argue with something concrete rather than a slide.

    You get: Documented process definitions with exception handling, a configuration specification, and a working sandbox instance to review.

  3. 03

    Configure, extend and connect

    Standard functionality is set up first, custom development covers only what the platform genuinely cannot, and integrations are wired in with reconciliation and monitoring rather than fire-and-forget syncs. Data is loaded through repeated trial runs into staging before anything is committed.

    You get: Sprint demos on your real data, live integrations with alerting, and a data load report showing what matched, merged and was rejected.

  4. 04

    Pilot, cut over, then watch the usage

    One team runs on it properly while we fix the friction they find. The wider rollout follows on a planned cutover with a rollback path, and we stay close through the first month because that is when workarounds get invented.

    You get: A cutover runbook with rollback steps, role-based enablement material, an adoption view of who is using what, and an admin handover pack.

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Where we've applied this

Manufacturing

Production, quality and maintenance records kept in the same system as procurement, so a supplier problem shows up as a schedule risk rather than a surprise on the line.

Logistics & distribution

Orders, consignments and carrier updates flowing into one operational view, with exceptions surfaced to a person instead of sitting in a mailbox nobody owns.

Retail

Product, pricing and customer records governed centrally across store, web and marketplace channels, so promotions and stock decisions rest on one set of numbers.

Financial services

Client onboarding, KYC evidence and advisor activity captured with the access controls and audit trail a regulator will ask to see, rather than reconstructed later.

Healthcare

Referrals, scheduling, consumables and billing connected under strict role-based access, so clinical and administrative teams stop maintaining parallel records.

Professional services

Engagements tracked from proposal through delivery to invoice, with utilisation and project margin visible while there is still time to act on them.

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Clients we've built for

Real products, in production, with real users on them.

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Questions buyers ask us

We already own Salesforce or SAP. Do we need to build anything?

Often not much. Where the pain is a poor implementation rather than a missing capability, reconfiguring what you own is faster, cheaper to maintain and does not break at the next upgrade. We audit the instance, tell you what proportion of your requirement the platform covers as it stands, and quote only for the genuine gap. Several of these engagements have ended with us recommending less work than the client came in expecting.

The number of distinct processes that need modelling, the state of the data being consolidated, and how many systems must stay in sync afterwards. Licence count barely moves the figure. One process with a dozen approval variations costs more to implement than several straightforward ones, which is why we price firmly only after discovery.

By treating adoption as a design constraint rather than a training exercise. We shadow the work before designing, remove the steps that make people avoid the system, pilot with one team who use it for real, and measure usage after go-live instead of assuming it. Where a workaround persists, it usually means the design is wrong and we change the design.

Yes, and that is normally where the value is. We integrate ERP, CRM, support desks, e-commerce, payroll and banking feeds through APIs, message queues or file exchange when a vendor offers nothing better. Every integration gets conflict rules, reconciliation and alerting, because a sync that fails silently is worse than no sync at all.

Our own in-house engineers — 45+ of them, with over a decade of combined delivery experience across enterprise platforms. Nothing is subcontracted, and the people demonstrating the work each sprint are the people who built it. Discovery is always led by a senior engineer who will be on the delivery team afterwards.

You own the code, the configuration, the data and the deployment pipeline in full from day one, and we hand over documentation explaining why each significant decision was made. We support through the first weeks while the real exceptions surface, then train your admin so routine changes stay in-house. Most clients keep us for the engineering-heavy work and handle the rest themselves.

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Tell us which system nobody trusts

Describe what you are running today and where people have quietly gone back to spreadsheets. A senior engineer replies within one business day, and if the fix is configuration rather than a build, that is what we will tell you on the first call.