Data-driven decision making in Hamilton.
A dashboard is where a decision goes to wait. The useful version reaches the person while they can still act.
Hamilton mixes healthcare, manufacturing and the agritech that turns up at Fieldays every June. We build AI for the admin those businesses still do by hand.
What data-driven decision making means here
Most businesses do not have a data problem, they have an action problem: the number exists, nobody sees it in time, and nothing happens. We close the gap between the number and the decision.
- One number per decision, in front of the person who makes it
- Alerts on the change, not a dashboard nobody opens
- Ask the database in plain English and get a sourced answer
- Decisions logged, so you can tell later whether the call was right
Business in Hamilton.
Healthcare is Hamilton's largest employment sector at 16 per cent of jobs, alongside manufacturing, logistics, education and tech, and the University of Waikato and Wintec make it a centre of learning and research.
Fieldays at Mystery Creek is the Southern Hemisphere's largest agricultural event. Fieldays runs at Mystery Creek every June.
From one-person trades to national organisations, we find the hours :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
How it works in Hamilton
We find the one workflow costing Hamilton businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Straight answers
What does this look like for a Hamilton business?
Hamilton sits at the centre of NZ's biggest agri-economy. AI here is about turning farm and supply-chain data into action - fast. We scope one workflow, ship it to production, and prove the return before expanding.
Do you actually work on data-driven decision making?
Most businesses do not have a data problem, they have an action problem: the number exists, nobody sees it in time, and nothing happens. We close the gap between the number and the decision.
Where do you start?
With the workflow costing the most time or the most leads. A dashboard is where a decision goes to wait. The useful version reaches the person while they can still act.
What does the Privacy Act 2020 mean for AI?
The same rules apply as for any system holding personal information. A breach that could cause serious harm must be reported to the Privacy Commissioner, who expects it within 72 hours.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
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