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Implementation Sprints

AI Implementation in New Zealand

We build AI into the work across your business, one area at a time, so your team has more capacity for client work.

Each implementation sprint runs 3 to 6 weeks and ends with workflows in daily use, each with an owner on your side.

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Clients across New Zealand, Australia, Hong Kong and Singapore

  • Hunter Campbell
  • Potentia
  • Evergreen Landcare
  • Quantem
  • Nomadtika
  • Bridge It NZ
  • Nilo
  • OT&P Healthcare
  • Stoneview Capital
  • Niatross Investments
  • Business Succession Partners

What We Build

One Area of the Business at a Time

Each sprint follows the roadmap from AI Foundations and is named for the outcome you want, such as quoting, client notes or investor reporting.

Sales and Marketing

Proposals, campaigns and client content drafted from your positioning, pricing and past wins. One professional services firm cut its contractor cost by 45% and broke even within two months.

Finance and Reporting

Month-end commentary, multi-entity reporting and investor packs drawn from Xero and your own systems, with a person checking every figure before anything goes out to the board or investors.

Operations Data

Inspection forms, job sheets and site notes turned into data your systems can use. Quantem's inspection forms went from 40 to 60 minutes each to between 90 and 150 seconds.

Research and Insight

Research, due diligence and technical know-how your whole team can search, with each answer traced to its source, so the few people who know aren't the bottleneck any more.

How It Works

How Each Sprint Runs

Every sprint has a fixed fee and covers one area of the business. Discovery is included in week one, and the sprint closes with a review against the agreed scope.

  1. Discovery and Scope

    Week one

    We map how the work is done with the people who do it, then confirm the workflows and the scope.

    • The current process mapped
    • Workflows and scope confirmed
    • A baseline to measure against
  2. Process and Build

    We fix the process first, then write the skills and connect the AI to your systems.

    • Lean Six Sigma where it helps
    • A skill for each task
    • Integrations where needed
  3. Test With Your Team

    Until it works on real work

    The people who'll use each workflow test it on real work, and we adjust it from there.

    • Testing on real work
    • Quality checks agreed
    • Changes made before go-live
  4. Go Live

    The workflows go into daily use, each with an owner, and we review results against scope.

    • An owner for each workflow
    • A person reviewing key outputs
    • Results reviewed at close-out

After Go-Live

Owners, Checks and Ongoing Support

A workflow only helps if your team keeps using it. Each one goes live with an owner and quality checks, and we stay to tune it as your team uses it.

Explore How We Work
An Owner for Every Workflow: on your side

Before a workflow goes live, we agree who owns it. They know how it works, check it's doing its job and decide when it needs to change.

Quality Checks: a person reviews what matters

Each workflow has quality checks and a point where a person reviews the output before it's used. Your team stays in charge of the work that reaches clients.

Your Information: held in your own systems

Your company context sits in your own systems, such as SharePoint or Google Drive. The workflows run inside the AI platform your team uses: Claude, ChatGPT or Microsoft Copilot, whichever fits.

Tuning After Go-Live: 2 to 3 months, built in

Others build and leave. We stay for two to three months after go-live, refining each workflow as your team uses it and fixing what comes up.

Managed AI Services: optional, after that

From there, managed AI is your choice: we maintain and extend the skills and company context as things change, and add workflows when you're ready.

In Their Words

ELab successfully delivered the OT&P insurance agent on our private chat platform, meeting our customised requirements with impressive speed. Security concerns were addressed thoroughly…

Andrew Shek, IT Director

Practical Questions

Scope, Timing and Cost

We're based in Auckland and build with teams across New Zealand and in Australia, in person and remotely.

What is AI enablement?

For us it's advisory and implementation together: mapping how your business runs and where AI fits, then building AI workflows into the work. The aim is more capacity for your team. Our guide to AI enablement covers it in more depth.

How is implementation different from AI consulting?

AI consulting works out where AI should go and plans the change. Implementation builds it: the skills, the company context and the connections to your systems. The same people do both.

Could we build this ourselves?

You could, and some teams try. It usually means someone stepping away from client work to learn how. We write the skills and build the company context, so your team's time goes on testing and owning the workflows.

Do we need AI Foundations first?

Most clients start with AI Foundations, because each sprint follows the roadmap it produces and builds on the platform it sets up. If you already have those in place, we'll talk through where to start.

How long does a sprint take?

Usually 3 to 6 weeks, with discovery in week one. Each sprint covers one area of the business, so you see workflows in use before deciding on the next.

What does a sprint cost?

Each sprint has a fixed fee, agreed before work starts. The fee depends on the workflows, the systems involved and the support you want after delivery.

A Good Place to Start

Bring the Work You Want to Improve

Thirty minutes on how your business runs and what you'd like to improve. No preparation or project brief needed.

Book a Call hello@elab.co.nz