Build something new
Cut through the AI hype with custom agents that deliver ROI from day one
AI, minus the hype
The firehose of AI hype leaves many teams unsure where to start. We cut through the noise with clear, unbiased advice, then build custom agents that plug into how your business actually runs. No trend-chasing, just AI that solves real problems.
Talk to us about your AI agent →AI agent
Reasons over your knowledge and acts inside your workflows.
An AI agent is software that takes a goal, works out the steps, and carries them out using your tools and data. Unlike a chatbot that only answers questions, an agent can read a document, update a record, send a follow-up and flag what needs a human. We build agents that do a specific job well, connect to the systems you already use, and are tested properly before they touch real customers.
For the longer version, including when an agent is the wrong tool, read what an AI agent is.
It's priced like other custom software, because most of the work is integration and testing rather than the model itself. A pilot on one workflow is scoped like an MVP, which in New Zealand begins in the low tens of thousands of dollars. Model usage and hosting add a running cost, and Putti estimates both before you commit.
A pilot on a single, well-defined workflow is usually working within a couple of months. Most of that time goes on wiring the agent into your systems, testing it against real cases from your business and setting the checks it runs under. Once the pilot proves itself, extending it to the next workflow is faster, because the foundations are already in place.
Use an off-the-shelf tool when your workflow matches how the tool already works. Build custom when the agent has to reach into your own systems, follow your rules, or handle a process no vendor models. Most NZ businesses start with a small custom pilot on one high-volume workflow.
We don't build AI to follow trends. We build agents to solve real business challenges.
Free your team to focus on the high-value work only people can do.
Faster response times and smarter, more consistent service.
Take on the complex, time-consuming processes that quietly drain hours.
Most of the value sits in ordinary, repetitive work: processing invoices, triaging enquiries, chasing missing information, pulling the same weekly report together. We automate those workflows end to end, with a person signing off where it counts. The result is fewer handoffs, fewer errors and the same job done the same way every time.
You don't need to replace Xero, MYOB, your CRM or ERP to use AI. We connect agents to the systems you already trust through their APIs and ground them in your own records, so they answer from your data rather than the internet. Where a system has no API, we'll tell you early and suggest a practical workaround.
More on adding AI to existing software, and on the systems integration work underneath it.
Real AI engineering is the unglamorous work behind a system you can rely on: architecture, orchestration, guardrails, testing, and deciding what the AI should never do on its own. It is the difference between "look what it can do, mostly" and "this runs part of our business now."
Building AI into your software rather than bolting it on: document processing, AI-powered search and chat, vision and image recognition, generation and insight. The work is in the data preparation, orchestration and the checks around the model, not the API call.
An agent needs boundaries as much as capability. We give each one scoped permissions, logging, validation and an off-switch, so it is useful without being free to make an expensive decision unsupervised.
Underneath a good agent sits the harness, memory and context that let it reason over your business instead of generalising from the internet. We structure your organisational knowledge so answers stay accurate and current as the business changes.
If you know AI could help but not where, start with a conversation. We look at your workflows, systems and data, tell you honestly where AI will pay off and where it won't, and scope a small pilot you can judge on real results. No trend-chasing, and no obligation to build with us.
Start with is your business ready for AI or how to start using AI.
We won't sell you the latest gimmick. We listen first, then find the solution that's right for you. Get in touch when:
16+ years of successful delivery since 2010, with zero failures.
A proven track record across AI, full-stack web and leading-edge mobile.
Easy to work with, and in it with you for the long haul.
A custom AI application in production, not a demo.
AI agents change your business in weeks, not years. That's the kind of shift they make possible.
Talk to us about your AI agent →More ways we build: Web Applications Mobile Apps Proof of Concept
Connect the AI to what you already run instead of rebuilding it. Putti links an agent to Xero, MYOB, your CRM or ERP through their APIs and grounds it in your own records, so it answers from your data rather than the internet. Your ledgers and workflows stay where they are, and each new capability goes live on its own once the last one has proven itself.
Yes. Most engagements start with a discovery session where we look at your workflows, systems and data, then recommend where AI will pay off. Sometimes the honest answer is an off-the-shelf tool or no AI at all, and we'll say so.
It can be, when the agent is designed around your data rather than a consumer chat tool. We choose AI providers and plans that keep your inputs out of model training, give each agent access only to the records its job needs, and log what it touches. For highly sensitive data, a private cloud or self-hosted model keeps everything inside your own environment.
Not really. Off-the-shelf chat tools don't know your systems, don't reliably retain your business context, and don't answer for their mistakes. AI engineering is what turns a clever general-purpose model into something you'd actually stake a process on. In practice that means wiring it to your real data, limiting what it's allowed to touch, and checking its work before anyone relies on it.
Scoped permissions come first: an agent that drafts refunds shouldn't be able to send them. Anything higher-risk, such as payments, customer messages or record deletions, waits at a human checkpoint. Every action is logged so you can see exactly what it did and why, and there's an off-switch. If a vendor can't show you that trail, ask harder questions.
Against real examples from your business, not a demo script. We build a test set of past cases with known right answers, including the awkward ones, and measure the system against it before launch and after every change. Anything it gets wrong in a way that matters becomes a new test, so the same mistake can't quietly come back.
Yes. Plenty of AI prototypes work in a demo and misbehave once real data arrives. We review how it's built, from the prompts and data sources to the permissions it holds, then add the missing guardrails, tests and logging. Where a part can't be made reliable, we'll tell you plainly and rebuild just that part.
