Experiments stay personal
A few people try tools, but useful prompts and lessons never become a shared way of working.
Practical AI for Australian SMEs
Make AI useful inside the work your team already does.
Yardset studies one repeated workflow, finds the strongest practical lever and helps your team turn it into a controlled way of working. The answer may be better process, existing software, automation, AI-assisted work—or no build at all.
Opens an email to Yardset. No booking system is connected, and you do not need to send documents or provide system access.
One workflow, one decision path
Human-led
Messy repeated work
Chasing, rework, handoffs and unclear ownership.
Workflow Study
Find the levers and recommend one next move.
AI Concierge
The team implements with Yardset alongside them.
Customer Rebuild
Yardset implements one agreed workflow.
Or process change, existing software, further proof—or no build.
The practical gap
Your team is interested in AI. The hard part is deciding where it belongs.
Useful ideas often stall between individual experiments and the real work: nobody owns the change, information boundaries are unclear, and the team cannot tell what should stay a human decision.
The workflow stays unclear
The team discusses AI before agreeing on the trigger, inputs, handoffs, exceptions and desired output.
Implementation loses momentum
Good ideas compete with the week. Without an owner and a next move, they remain ideas.
How Yardset works
Start with the workflow. Keep the decisions visible.
- 01
Free discovery
In 20 minutes, establish whether there is one repeated workflow problem worth studying. No detailed mapping or solution design.
- 02
Paid Workflow Study
Map the workflow, compare sensible options and identify a short set of prioritised next moves.
- 03
One recommendation
Choose the smallest sensible direction: guided adoption, a rebuild, process or software change, further proof—or no build.
The paid bridge
A Workflow Study that ends with practical next moves.
The Study makes the current work visible, identifies the strongest levers and recommends the smallest sensible next direction.
Common first paid step
Workflow Study
See the owners, handoffs, systems, exceptions and decisions before choosing technology.
Understand the Study →Possible Study outcome
AI Concierge
For teams that should implement the selected levers themselves, with Yardset guiding the work.
Explore AI Concierge →Possible Study outcome
Customer Rebuild
For one clear workflow ready for a separately scoped Yardset-led implementation.
Explore Customer Rebuild →Clear boundaries
Practical help, with important decisions kept with people.
- Yardset does not recommend AI by default.
- Consequential business decisions stay with a named person.
- Unknown information stays unknown rather than being guessed.
- Builder work is separately scoped and approved.
- Public demonstrations use fictional, synthetic information.
- Real information and system access require separate readiness approval.
Synthetic demonstration
See what controlled first-pass work looks like.
The public Inbox-to-Job demonstration shows fictional input becoming a structured draft for human review. It is a demonstration of behaviour, not a live customer workflow or proof of results.
Start with one repeated workflow
Find the workflow worth studying first.
Bring one repeated task that creates delay, chasing, rework or lost visibility. In 20 minutes, we can decide whether a paid Workflow Study is a sensible next step.
Opens an email to Yardset. No booking system is connected, and you do not need to send documents or provide system access.