Knowledge-first applied AI
01
An AI Growth
Studio.
Knowledge first. Technology second.
We turn the knowledge that runs your business into AI systems that empower your people.
Walking With Robots helps leaders turn business knowledge into AI-enabled operating capability.
What WWR does
AI systems built around the work that matters.
Our approach is to spend time understanding how work actually flows through a business: where experienced people fill the gaps between systems, and where time, quality, margin or customer service is being lost. We then bring AI capability, business knowledge and existing technology together to elevate and accelerate the way work gets done.
The signs we look for
Six signs AI could help in your business.
These are a small sample of the signs we see when AI could play an important role in streamlining complex, manual processes. We look for important work that is slow, manual, fragile or poorly served by systems the business already owns.
People rebuild the picture from scattered documents, spreadsheets, inboxes and systems.
Work stalls or mistakes occur when the person carrying critical knowledge is unavailable.
People manually reconcile changing instructions, orders and priorities across teams and systems.
Your CRM or other core systems still do not give people what they need to do the work well.
Important financial and operational numbers still rely on manual checks where accuracy matters.
Our approach
Start with the work. Use the technology that fits.
Find the work that matters
We look for where time, margin, quality or customer service is being lost, where decisions are slowing down, and where too much depends on a few experienced people. Then we focus AI where it can make the biggest difference.
Build from how the business really works
We bring together the knowledge, judgement, rules, information and existing systems the work depends on. That gives AI the context to work like the business, rather than produce generic answers.
Put the change into practice
We design, configure and build practical systems inside the business. AI takes on more of the searching, checking, preparing and coordinating, while the right people retain control of decisions and approvals.
01Understand
02Prioritise
03Design & Build
04Prove & Improve
What it looks like in practice
What it looks like when the work changes.
These are real examples of complex work where AI can change what is possible. They show the burden today, how the work could operate with AI in the loop and the practical difference for the business.
High-accuracy work
01Complex quote accuracy
Before AI
An estimating team manager compares draft quotes with a complex set of inputs to ensure the quote is right before it goes out. The work is slow, mentally demanding, and exposed to missed quantities, pricing errors and other information mistakes.
With AI
An agentic validation workflow assembles the relevant evidence, applies the agreed checks, compares conflicting sources and presents genuine exceptions with traceable evidence.
Dynamic market data
02Competitive price intelligence
Before AI
A pricing manager works through a large product catalogue, searches several retailer websites and checks variants, pack forms and uncertain results by hand.
With AI
A source-specific checking system uses retrieval routes, verifies evidence and sends unresolved cases to a reviewer.
Relationship operations
03A daily operating agent for real estate
Before AI
Important customer context, follow-ups and priorities sit across the CRM, inboxes, notes and the experience of individual agents.
With AI
A daily operating agent brings the right context together, prepares useful next actions and leaves judgement and relationships with the agent.
Project control
04A current view of complex project work
Before AI
People rebuild the picture from scattered documents, meeting notes, schedules and messages before they can decide what needs attention.
With AI
A project-control agent shows what changed, what it affects, what needs a decision and prepares updates and follow-ups for approval.
Why Walking With Robots
Taking your business into a new phase of operations.
For more than two years we have changed the way we run Walking With Robots with AI, then applied those lessons alongside New Zealand businesses. The goal is to help leaders see what is possible, show how it can be done and build confidence by doing useful work together.
We use AI in our own work every day
We test new tools and ways of working inside our own research, delivery, product and operations work. We learn where AI creates leverage, where it gets in the way and where human judgement must remain visible.
We make the possibilities visible
We connect AI capability to the work people already recognise, so leaders can see a practical path beyond generic training or abstract transformation.
We build confidence through real work
We work with the people who know the job, prove improvements on representative work and help the business decide what to scale, change or stop.
Field Notes
Notes from real work.
What we are learning as we put AI to work in real businesses.
View all Field NotesBuild the System, Not Another App
AI makes it easier to build quick proofs, but disconnected tools can recreate the fragmentation they were meant to fix.
Read noteThe Bar Is Hours Back, Every Week
AI confidence theatre makes useful, practical wins look too small. The better test is simple: did the work change, and did someone get meaningful time back?
Read noteNext / Working conversation
Find the right place for AI to start in your business.
Join us for a 30-minute working conversation to look at where AI could make the most impact in your business. No commitment, just a practical, motivating conversation about what this technology could help you change.
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