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.
Online Fireside Chat AI and the Evolving Workplace: Opportunities for People and Business Thursday 5th November, 12:00 pm NZDT
RegisterImplementation Sprints
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.
Book a CallClients across New Zealand, Australia, Hong Kong and Singapore



What We Build
Each sprint follows the roadmap from AI Foundations and is named for the outcome you want, such as quoting, client notes or investor reporting.
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.
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.
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, 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
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.
Week one
We map how the work is done with the people who do it, then confirm the workflows and the scope.
We fix the process first, then write the skills and connect the AI to your systems.
Until it works on real work
The people who'll use each workflow test it on real work, and we adjust it from there.
The workflows go into daily use, each with an owner, and we review results against scope.
After Go-Live
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 WorkBefore 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.
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 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.
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.
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 Practice
Once the first workflows prove their value, most clients move on to the next area of the business.
Inspection forms took 40-60 minutes each to type up. AI now reads and checks them, and a coordinator reviews every form.
Read the Case StudySite knowledge sat with a few people. Voice capture and documented procedures now move field data to the office 80% faster.
Read the Case StudyField staff now record jobs by voice for the admin team, and AI tools give office staff 2-3 hours back each week.
Read the Case StudyIn 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 DirectorPractical Questions
We're based in Auckland and build with teams across New Zealand and in Australia, in person and remotely.
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.
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.
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.
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.
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.
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
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