Smart Solutions. Digital Future.

Your business runs on software from 2004. We rebuild it for 2030.

Three Digital Llamas takes the ageing, irreplaceable applications businesses depend on and rebuilds them as modern, cloud-native platforms — with AI integrated where it actually pays. No big-bang weekend. No stopping trade.

  • Your data stays yours
  • The old system keeps trading
  • Something real in weeks
  • 2 Platforms in production
  • 20+ Yr-old systems replaced
  • 1 Binary to deploy
  • AI Built in, not bolted on

Sound familiar?

You already know the system
we are talking about.

  • The only person who understands it is retiring.
  • It runs on a PC under a desk, and everyone knows which one.
  • A change that should take a day takes a quarter — if anyone will quote it.
  • Half the process lives in spreadsheets emailed between four people.
  • You pay per seat for software that makes you work its way.
  • You want to use AI, but nothing is in a shape it could read.

None of that is a technology problem yet. It becomes one the day the business needs to change and the software says no.

What we do

Six things, done properly.

Everything below is one team, one codebase and one bill — not a chain of vendors pointing at each other.

01

Legacy Modernisation

The system that runs your business still works. It just cannot be changed, cannot be hired for, and cannot leave the server in the cupboard.

  • VB6, Access, Delphi, FoxPro, classic ASP and hand-rolled PHP
  • On-premise databases lifted to managed cloud without losing history
  • Rewritten a module at a time — the old system keeps trading
  • Every business rule in the old code found, written down, and kept
02

Custom Business Applications

Off-the-shelf software makes you work its way. We build the application around how the business actually runs.

  • ERP, CRM, inventory, scheduling, quoting, field service, portals
  • Multi-tenant and multi-entity from the first line of code
  • Works on a phone in a van and on a screen in the office
  • Your data stays yours, exportable in full, whenever you ask
03

AI Integration

AI that answers from your data, your documents and your process — not from the internet's best guess about your industry.

  • Assistants grounded in your own documentation, that say when they don't know
  • Document and email extraction: invoices, orders, timesheets, forms
  • Estimating, scheduling and triage support that shows its working
  • Dropped into the system you already run, not a separate app to log into
04

Cloud & Platform Engineering

Modern hosting without the modern bill. Small, fast, boring infrastructure that someone other than us can operate.

  • Single-binary services — no container sprawl, no orchestration tax
  • Zero-downtime releases, automated migrations, real backups tested by restoring them
  • Logging, metrics and alerts that point at the failing thing
  • Costs modelled before you commit, not discovered on the invoice
05

Data Migration & Integration

Twenty years of data is the asset. Moving it is the risky part, so we make it previewable and reversible.

  • Migration wizards that preview every row before it lands
  • Accounting, e-commerce, freight and supplier links — Xero, Shopify, eBay, EDI, 3PL
  • A public REST API and outbound webhooks so the next system connects easily
  • Reconciliation reports proving the new numbers match the old
06

Support & Continuous Delivery

Software is not finished when it ships. We stay on, and changes keep arriving.

  • Named engineers who know the codebase, not a ticket queue
  • Small releases, often — features in days, not quarters
  • Documentation written in the same change as the code
  • Hosting, patching, backups and monitoring handled — you run the business, not the servers

All services in detail

AI, specifically

AI that reads your manual,
not the internet's.

Most AI features fail the same way: asked something specific about your business, the model answers confidently and wrongly. We build the other kind. Answers come from your documentation, your data and your process — and when the source does not cover the question, it says so.

  • Grounded assistants. Retrieval over your own docs, with the model told to refuse rather than guess. If nothing relevant is found, it is not called at all.
  • Document intelligence. Invoices, purchase orders, timesheets and site forms read on arrival, matched, and pushed into the system.
  • Decision support. Estimating, scheduling and triage that suggest and show their working, leaving the call to a human.
  • Inside the system you have. AI belongs where the work already happens — not in another tab with another login.

Proof

Two platforms, in production,
replacing software people paid for.

Stockwhip

Footwear, workwear & uniform supply

  • Go
  • MySQL 8
  • html/template
  • htmx + Alpine
  • React Native
  • PWA

A multi-tenant ERP that replaced a spreadsheet-shaped stack.

One system, one login, one deploy. The owner's phone app answers in a glance the question the console answered in twenty screens: what the business took today, against the same weekday and against plan, store by store — with every payment split by tender and card scheme, and the gap between what was sold and what actually arrived named rather than hidden.

Read the case study

TradeStack

Plumbing, electrical & HVAC contracting

  • Go 1.25
  • chi
  • MySQL 8
  • html/template
  • Tailwind v4
  • Passkeys

A trade management platform built to replace Simpro — with an AI assistant that only answers from the manual.

The business runs on its own platform instead of renting one, with an import that brought the Simpro history across. Documentation is the source: the help pages and the AI assistant are both built from the same markdown, so the answer a technician gets is never out of date. Most of all, the software now conforms to the business rather than the business conforming to the software: it changes as the business changes, so a new way of working is a release next week, not a feature request to a vendor who may never build it. And they are not left holding it on their own: we keep the platform running, patched and backed up, and stay in the room for what changes next — so the roadmap belongs to the business, built by people who already know the codebase.

Read the case study

How it goes

Four stages. No weekend
anybody dreads.

  1. 01

    Map

    We sit with the people who use the system and read the code that runs it. Every business rule buried in a form event handler gets written down.

    OutputA working map of the system and what it must never stop doing.

  2. 02

    Prove

    One real slice — the process that hurts most — built and put in front of the people who do that job every day.

    OutputSomething running you can click, inside weeks.

  3. 03

    Cut over

    Module by module, with the old system live alongside. Data migrated with a preview and a way back.

    OutputA move nobody had to work a weekend for.

  4. 04

    Compound

    Now that change is cheap, AI and automation go where they pay. Then the next thing.

    OutputA platform that gets better instead of older.

The approach in full

Next step

Tell us what the old system
will not let you do.

Thirty minutes, no pitch deck. You describe the system and what it is costing you; we tell you honestly whether it is worth replacing, and what that would look like.