Managed AI · New Zealand small business and trades
Get the busywork handled, so you can get on with the job.
Larder sets up practical AI for the everyday graft: quoting, enquiries, invoicing, follow-ups and reporting. Then we run it for you, every month. Calm, governed, and built around the way your business already works.
No jargon. No lock-in. You own the accounts, the data, and the call.
01 · Why Larder
You don't need another AI workshop. You need it actually done.
Most owners have already had a play with ChatGPT or Copilot. The hard part is deciding where AI belongs, wiring it safely into the systems you already run, and keeping it reliable once the novelty wears off. That is the part Larder does.
Done, not demoed
You get working systems, not a strategy deck that sits in a drawer. We build the thing and hand it over.
Safe by design
Every workflow has an owner, set boundaries, clear approval points, and an off switch. Nothing runs loose.
Run for you
We monitor, tune, and report on it every month. Set and forget is not the offer, and never works anyway.
02 · Where the time goes
The problem isn't AI. It's finding the time, and trusting it.
Too many tabs
ChatGPT, Gemini, Copilot and a dozen browser add-ons, all switched on, none of it joined up.
Admin that never ends
Emails, quoting, CRM updates, and reporting still eat hours out of every week.
Worry it will get it wrong
Owners fear AI will make things up, leak data, or upset a good customer.
Knowledge everywhere
What the business knows is scattered across PDFs, spreadsheets, inboxes, and people's heads.
Nobody minding it
Even handy pilots go stale, because no one owns or improves them after launch.
No clear plan
The team is experimenting, but there is no roadmap, no rules, and no priorities.
03 · What we build
AI that takes the admin off your plate, without taking away control.
We start with your bottlenecks: quotes, inboxes, customer service, reporting, documents, and the knowledge your team keeps asking each other for.
Readiness and risk review
We map your systems, your workflows, and the three to five jobs most worth handing to AI first.
Workflow builds
Practical automations around inboxes, quotes, CRMs, documents, and recurring reporting.
Knowledge larder
Turn procedures, PDFs, and scattered know-how into a searchable assistant your team can actually use.
Policy and governance
Clear rules for staff, approved tools, an AI register, and sensible human-review steps.
Agentic setup
Multi-step agents wired into your systems, with permissions, logs, and firm operating rules.
Managed operations
We run it every month: monitoring, tuning, changes, and a plain-English report.
04 · How it works
Start small. Prove it. Then run it properly.
Review
Find the jobs with enough volume and clear enough rules to be worth automating.
Pilot
Build one contained workflow, with human approval and visible operating logs.
Settle in
Document it, train the team, and set when AI should stop and ask a person.
Run
Monitor, maintain, and ship one small improvement every month.
05 · The commercial model
Priced around real implementation, not one-off advice.
A paid review, a fixed build, then managed operations. Software, cloud, and licence costs are billed separately, at cost. Prices in NZD.
Readiness and risk review
A practical audit, a risk map, a policy starter pack, and a prioritised roadmap.
- →Workflow and tool audit
- →Risk and data review
- →Prioritised AI roadmap
First workflow build
One priority workflow, built with approved tools, integrations, and approval points.
- →Workflow build
- →System integration
- →Handover and docs
Managed operations
Monthly monitoring, tuning, change requests, and a clear report.
- →Monitoring and tuning
- →Workflow changes
- →Monthly review
Agentic systems
Multi-step agents, customer-facing assistants, voice, or heavier integrations.
- →Human-in-the-loop controls
- →Audit trails and escalation
- →Custom operating model
06 · Safety and ownership
Useful, without becoming a black box.
Larder builds with client-owned accounts, approved tools, least-privilege access, human approval points, and documentation you keep.
Human approval where it matters
AI drafts, recommends, and routes. A person signs off anything sensitive before it acts.
Your accounts, your data
Systems are set up so the business keeps control of access, data, and documentation.
Clear data boundaries
We define what AI can see, what it cannot, and what should never leave approved systems.
Logs and a monthly review
Failures, exceptions, and usage are tracked, then read back to you in plain English.
07 · Get started
Tell us where the time's going.
A few details about the business and the jobs slowing your team down. We will read it properly and reply ourselves. No call centre, no hard sell.
Most reviews are booked within a week.