Loading...

build + run + scale

AI/Agentic driven software built for your business.

Loop engineering

Once implementation is cheap, the job moves to designing the loop that code flows through. We set that loop up for your business.

The old idea-to-launch cycle was built for people typing code. Loop engineering replaces it: what goes in, what has to be proven before anything comes out, and who decides it ships.
1

Specify

Agents build exactly what you ask for, so the spec has to say what you mean. Each decision becomes a contract: invariants, state changes, data ownership, failure behaviour, and what is deliberately out of scope. Plans live in a real tracker, not a generated document.
2

Build

Every agent works in its own git worktree against a throwaway database, so parallel runs cannot trample each other and a bad run costs nothing to discard. Models are chosen by role and kept swappable, so when the economics shift you change a model, not your way of working.
3

Verify

Tests are what let you trust code you did not write. Coverage reported on every build, real-browser checks against the running app, and an independent reviewer from a different model family, with routing checked to confirm which model actually answered.
4

Ship & run

Merging, releasing, deploying and switching a feature on are four separate decisions. Infrastructure as code, gated releases through UAT, pinned versions, rollback evidence, and telemetry on the loop as carefully as on the product.

Where your team sits today

Most teams start at Assisted and climb one bottleneck at a time. Knowing where the bottleneck has moved is most of the skill.

Assisted — the model helps, you drive. Every step waits on you.

Looped — agents implement inside gates you design. The limit becomes tokens and usage windows.

Unattended — the loop runs overnight and through weekends. The limit becomes your backlog.

Specification-bound — the backlog runs dry. The limit is deciding precisely what to build.

How Connecting Space helps you get there

1. Assess. We map your workflows against the ladder, find the real bottleneck, and rank what should be automated first.

2. Design the loop. Specs and contracts, verification gates, isolated workspaces, model routing and release controls, set up for your stack.

3. Run it alongside your team. Agents work on real tasks in your repositories, with your engineers reviewing and steering from day one.

4. Hand it over. Your accounts, your repos, your runbooks. You keep the loop running once we step back.

Services

Agents, products, and the engineering behind them

AI Agents, Built to Work

We design and ship agents that do a real job inside your business — triage, drafting, quoting, reconciliation, support, internal ops. Scoped, evaluated, instrumented, and wired into your systems rather than a chatbot bolted onto a website.

Unified — Off the Shelf

Our own team culture product: kudos, weekly pulse surveys and engagement reporting, running inside your Slack workspace. Start a 30-day trial and you're productive the same day — no build project, no integration work.

Agentic Readiness Audit

A short, focused engagement: we map your workflows, cost the manual effort, and return a ranked shortlist of what an agent should own, what it shouldn't, and what it would take. You leave with a plan whether or not you hire us.

AI-Native Product Builds

When the product itself is the agent: we take it from concept to live system in weeks. Model selection, retrieval, guardrails, human-in-the-loop, cost control and observability — the unglamorous parts that decide whether it survives production.

Engineering That Holds Up

Twenty-five years of production systems sits underneath the AI work. Laravel, React, Node.js, .NET, integrations, legacy modernisation — agents are only useful if the systems they touch are solid.

Fractional CTO & AI Strategy

Technical leadership for the agent era, without the full-time hire. Architecture direction, build-vs-buy calls, vendor and model selection, team mentoring, and someone accountable when the AI roadmap meets the budget.
Why us.

An AI capability that behaves like part of your business

Not a research project. Not a black box. We put agents to work on defined jobs inside your existing systems, prove them against real numbers, and leave you owning the thing — no generic platform, no open-ended consulting.

Agents on defined jobs

Every engagement starts with a job that has a cost today. We automate that job, measure it, and only then widen the scope.

Fitted to your systems

Your CRM, inbox, ERP, spreadsheets, whatever you actually run on. Agents wired into the tools your team already uses, not a parallel system nobody opens.

Off the shelf, where it fits

Unified already runs in Slack: kudos, pulse surveys, engagement reporting. Ready to switch on today — no build project.

Shipped, not demoed

Weeks, not quarters. Agents go into production with evaluation, logging and a rollback path — not a slide deck.

You own the stack

Models, prompts, evals and infrastructure stay in your accounts. Structured handover and documentation are built in, not billed extra.

Fractional CTO & AI strategy

Architecture reviews, build-vs-buy calls, model and vendor selection, team mentoring — technical leadership without the full-time hire.

Honest about the limits

Not every problem needs an agent. We tell you where AI genuinely adds value, where it does not, and where simpler software wins.

Run & improve

Drift, cost, model changes and regressions are permanent. We monitor, retune and improve long after launch.
Production software since 2001 for marine rescue, health rostering, insurance, banking, transport compliance, theatre booking, learning management and ecommerce.
Call Us
+61 2 9266 0003
Address
Suite 17, 89-97 Jones Street
Ultimo NSW 2007, Australia
Review us on Google Scroll Up
 Previous  All works Next