Meta Pixel

Partner with Sentry

We partner at every level of the stack.

Hardware and compute. Architecture and infrastructure. Models, platforms and the tooling around them. Delivery partners who own the client, and advisors who simply make the introduction. Wherever you sit in the stack, if your work touches how a business runs AI, there is a partnership worth having here.

Kevin Kwok, Partnerships at Sentry AI

Kevin Kwok

Partnerships, Sentry AI

kevin@sentrysolutions.ai

Partner with us

Tell us where you fit

Three fields, straight to Kevin. He reads every one himself.

Five shapes this takes

Most of these arrangements start informally and get written down before the first introduction. If yours is not on this list, the form still works: the useful ones rarely arrive in a category we invented first.

Referral partners

Accountants, lawyers, MSPs, fractional CTOs and consultants whose clients keep asking them about AI.

You make an introduction and stay in the loop. We run the free AI Readiness Check, share what it finds with you and your client, and you keep the relationship you already own. Commercial terms are agreed with you before anything is introduced.

Delivery partners

Agencies and software firms who own the client relationship and need the AI layer built underneath it.

We move your client's team onto Claude or ChatGPT behind your engagement, one workflow at a time, taught in person. You stay the client's provider. The harness is the client's IP either way, which is what makes this work without either of us holding the other hostage.

Technology and platform partners

Model providers, platform vendors and tooling companies whose product lands better with an install behind it.

We deploy your product inside a team we have already moved onto AI, with governance in place, rather than as another tool nobody adopts, and we tell you honestly where it does not fit. Joint accounts are run as joint accounts, with one delivery lead named.

Hardware and infrastructure partners

Compute, hosting and hardware suppliers, particularly for on-premise and data-residency work.

Private LLM infrastructure engagements start with a sizing conversation and end with hardware somebody has to supply, install and support. That is a standing need on the deals where the data cannot leave the building.

Advisors and introducers

People with a network and no interest in delivery.

The simplest arrangement we have. You make the introduction, we do the work, and the arrangement is written down before the meeting rather than negotiated after it closes.

How it works

There is no programme to join and no tier to reach. Four things are true of every partnership we run.

One conversation, not a portal

There is no tier system, no certification programme and no partner portal to log into. Kevin reads every enquiry that comes through this page and usually replies the same day.

Terms agreed before the first introduction

Whatever the arrangement is, it is written down before anyone meets a client. We do not publish a standard percentage because the shapes genuinely differ, and a number on a page would be wrong for most of them.

The client owns what gets built

Every engagement leaves the harness, the skills and the context files with the client. That matters to a partner because it means we cannot quietly become the client's dependency instead of yours.

We say no to work that is not ours

If an opportunity is better served by an off-the-shelf tool or by nobody at all, we say that in the readiness check. A partner who sends us three deals and watches us decline one is more likely to send a fourth.

What you are plugging into

Sentry AI moves mid-market teams across New Zealand and Australia onto Claude and ChatGPT, one workflow at a time. The work a partner introduces lands on this.

  • Production AI systems running across recruitment, healthcare, retail, financial services and professional services in New Zealand and Australia, every one of them named on this site with a real before and after.
  • Claude and ChatGPT transformation: skills, context and role design set up over the Claude, ChatGPT, Copilot or Gemini organisation a client already pays for, one workflow at a time, taught in person, with agent governance alongside.
  • Private LLM infrastructure for clients whose data cannot leave their hardware or their region.
  • An AI governance and ISO/IEC 42001 readiness practice run by a company going through its own certification, which is increasingly what enterprise procurement asks a partner's suppliers to show.
  • A free AI Readiness Check your client can run in two minutes, which is a soft first step that costs your relationship nothing.