Geaux Digital Media
Services

Business systems & automation

Architecture, integration, custom software, automation, AI where it earns its place, and ongoing technical support. Most engagements start with one and grow into the next — you do not have to buy the whole thing to start, and we would rather you didn’t.

The admin stops scaling with revenue

When volume doubles, the re-typing and chasing behind it shouldn’t double too. That is the work we take off people.

Information gets entered once

And appears everywhere it is needed, correctly, without anyone retyping it into the next system.

You can see what is happening

Numbers that reconcile, assembled on their own, in front of you before you go looking for them.

01

Architecture

“We know it’s a mess. We don’t know what to fix first.”

Before anything is built or bought, somebody has to map how the business actually runs and decide what the system should look like. That is the work most firms skip, and it is what most failed projects turn out to have been missing. We produce the map, the decisions, and the sequence.

See the problems this fixes →

What that includes
  • Business workflow analysis
  • Application architecture
  • Integration architecture
  • Data architecture
  • System-of-record decisions
  • Technical roadmap and sequencing
For example

Deciding which system is the truth

Three applications each hold a version of the customer, and all three are wrong in different ways. Before any integration is worth building, somebody has to decide which one is authoritative for which fields, and what happens when they disagree. That decision is architecture — and getting it wrong makes every integration downstream of it a liability.

02

Integration

“Our systems don’t talk to each other.”

The plumbing between the software you already pay for. This is usually where the fastest return is, because the tools are already bought and the only thing missing is the wiring. When systems are disconnected, people become the integration — and people do not scale.

See the problems this fixes →

The eight ways integrations fail →

What that includes
  • APIs and webhooks
  • SaaS-to-SaaS integrations
  • Middleware where a direct connection won’t do
  • Data synchronization and reconciliation
  • CRM, ERP, and commerce connectivity
  • One source of truth, so numbers stop disagreeing
For example

Entered once, everywhere it’s needed

An order is placed. Today someone re-keys it into fulfillment, then accounting, then the spreadsheet used for reporting. Integrated, it is entered once and appears in all four correctly and immediately — and the transcription errors that cause the wrong thing to ship stop happening.

03

Custom software

“Nothing off the shelf actually fits how we work.”

When buying and configuring genuinely will not solve it, we build. Internal applications, portals, dashboards, middleware, databases, APIs, operational platforms. Real software with tests and documentation — not a no-code prototype that quietly becomes your operations and then nobody can change it.

See the problems this fixes →

What that includes
  • Internal operational applications
  • Customer and partner portals
  • Dashboards and reporting layers
  • Middleware and service layers
  • Databases and data models
  • APIs for your own systems and partners
For example

The spreadsheet that became production infrastructure

There is usually one workbook the business genuinely runs on. It has formulas nobody understands, one person who maintains it, and no record of who changed what. Replacing it with a real application is not a technology upgrade — it is removing a single point of failure everyone has quietly agreed not to think about.

04

Automation

“People are doing things software should handle.”

Taking repetitive work off people. Not replacing your team — removing the parts of the day that are transcription, chasing, and copy-paste, so the hours go to work that actually needs a human.

See the problems this fixes →

What that includes
  • Workflow automation and business rules
  • Scheduled and event-driven operations
  • Document processing and data extraction
  • Notifications, confirmations, and reminders
  • Lead routing, qualification, and follow-up
  • Operational orchestration across systems
For example

The handoff nobody wrote down

Between two departments there is a step that exists only because someone remembers to do it. It works until they are on holiday. Automating it is rarely the hard part — the hard part is that nobody had ever written down what it was, which is exactly why it kept breaking.

05

AI

“Where does AI actually help us?”

AI is a capability we use inside systems, not a product we sell. It goes where probabilistic reasoning genuinely adds value, and stays out of everywhere it does not.

See the problems this fixes →

What that includes
  • Classification and routing of unstructured input
  • Extraction from documents, email, and forms
  • Summarization of long threads and records
  • Drafting, with a person approving
  • Research and internal knowledge systems
  • Workflow agents with defined boundaries
For example

Reading the things nobody has time to read

Inbound email, PDFs, and forms arrive unstructured and get triaged by a person who is good at it and busy. AI is genuinely good at reading that, classifying it, and pulling the fields out — and a person still approves anything a customer will see.

06

Technical support — The Watch

“Who do we call when it breaks?”

Ongoing technical ownership of the systems we built or explicitly took on: maintenance, troubleshooting, monitoring, configuration changes, updates, and new integrations as the business changes. Month to month — it has to keep earning its place. Systems are not finished when they launch, because the business does not stop moving.

See the problems this fixes →

What that includes
  • Maintenance and application updates
  • Integration troubleshooting
  • Monitoring and alerting
  • Configuration and workflow changes
  • New integrations as the business changes
  • Vendor coordination and escalation
For example

The integration that broke because a vendor shipped a change

A SaaS provider changes an API and something stops working on a Tuesday. Somebody has to notice, work out whether it is the vendor or the integration, and fix it. That is the work — and it is why systems need an owner after launch, not just a builder before it.

Where AI fits

AI is a component. The system is the product.

AI is good at a short list of things: reading unstructured text, classifying it, drafting a first version, pulling fields out of a document, and summarizing. Those are real capabilities and they save real hours.

It is bad at arithmetic you need to be right, at rules that must never vary, and at anything where being confidently wrong is expensive. We use it for the first list and write ordinary software for the second.

Plenty of the systems we build contain no AI at all. That is a perfectly good outcome, and we will tell you when it is yours.

More on what AI is actually good for →

What we work in

The systems a growing business actually runs on

Not exhaustive, and not a list of things we resell. These are the places the work usually lives.

CRM and pipeline platformsERP and accounting systemsE-commerce and WooCommercePayment gateways and checkout flowsScheduling, dispatch, and field systemsInventory and fulfillmentEmail, SMS, and customer messagingDocument and file systemsData warehouses and reportingSpreadsheets and the exports that feed themAPIs and webhooks between all of it
After the build

Somebody has to own it on the Tuesday a vendor changes an API

Most systems work is sold as a project and handed over. Then a SaaS provider ships a change, something stops syncing, and the business discovers that nobody owns the thing it now depends on.

The Watch — optional, month to month
  • Monitoring, maintenance, and updates
  • Integration troubleshooting when a vendor changes something
  • Configuration and workflow changes as you grow
  • New integrations without a new project
  • Vendor coordination and escalation
  • Periodic review that finds the next thing worth fixing

Never bundled into a build to inflate it, and never assumed. Month to month, so it has to keep being worth it — and you own everything either way.

How we decide what to build

Buy, then configure, then integrate, then build — in that order, on economics

We can build anything the work justifies, and we do not build merely because we can. If we recommend building, the proposal shows you why the three cheaper options lose. It is the difference between a firm that solves your problem and one that sells you the most expensive version of it.

Scope

What we are not

Worth being direct about, because the boundary is what keeps the work good.

We are not an IT provider

No employee helpdesk, laptops, printers, Wi-Fi, or endpoint management. We work at the business application layer — the systems your operation runs on. If what you need is an MSP, you need an MSP, and we will tell you that rather than take the work.

We assist with third-party failures. We don’t warrant them

When a SaaS vendor has an outage, an API changes, or hosting goes down, we diagnose it, work the problem, and escalate with the vendor. What we cannot do is guarantee the availability or performance of infrastructure and software we do not control — and a firm that promises you otherwise is selling something it cannot deliver.

Get started

Not sure which one you need?

That is the normal starting point, and it is what an assessment is for. Tell us what is breaking and we will tell you whether it is architecture, integration, automation, or something you should buy instead of build.