Where the offer meets the work.

1. Consolidate scattered data

   Documents, CRM records and other sources brought together so they can be used in the same piece of work. Often Claude with custom connectors into the systems you already run.

   For teams searching five places for one answer.

2. Automate repeatable work

   Workflows and automations for the jobs that come round every day or week: intake, classification, drafting, filing, reporting, follow-ups. Using local or cloud LLMs, matched to the job. AI automation.

   For owners and teams buried in admin.

3. Custom MCPs and connectors

   Model Context Protocol servers and connectors that give AI tools controlled access to your own systems and data, with clear limits on what can be read and what can be changed. Custom MCP development.

   For businesses whose key systems are not covered by off-the-shelf connectors.

4. Integrations between systems

   Connecting the platforms you already pay for so information moves between them without re-keying, exports or copy and paste.

   For businesses running on disconnected tools.

5. Bespoke platforms

   Software built around how the business already works, when no product fits. AI is included where it helps, not added for the sake of it.

   For processes that off-the-shelf software forces into the wrong shape.

6. AI for controlled environments

   When data cannot go just anywhere: local models on hardware you own, or managed options such as Microsoft Azure AI Foundry and AWS Bedrock. Private and local AI.

   For regulated, sensitive or tightly governed environments.

7. Agents for scoped jobs

   Agents that take on defined work such as email, calendar, quoting and reporting, with tools, limits and human approval on consequential actions. Deployed, documented and handed over properly.

   For specific jobs that suit an agent, not as a default answer.

8. Rescue a stalled build

   An automation, integration or AI project that is mostly done and has gone quiet. We review what is actually there, tell you honestly what it will take, and get it over the line, or say if it should be replaced.

   For inherited or abandoned builds.

9. Advisory and second opinion

   Before you sign with a vendor or commit to a platform, a straight answer on whether it will work, what it really costs to run, and where you would be locked in.

   For pre-commitment decisions.

We would rather tell you the honest state of a project than the flattering one.

One option for local AI: a compact, Australian-assembled machine that runs models and automations on your premises. Nothing leaves the building unless you decide it should. We supply it configured, hardened and running, not as a bare box.

AI Box specification

Processor	AMD Ryzen AI Max+ 395
Memory	128 GB unified LPDDR5X
Network	Dual 10G LAN + Wi-Fi 7
Footprint	Desktop — quiet, office-safe
Scaling	Cluster over 10G for more capacity
Supplied	Configured, hardened, supported

Priced per build. Cloud-first is a good place to start; moving on-premise later does not mean a rebuild.

How the work is handed over is part of the process.

Discuss your project →