AI is being deployed faster than it’s being assured.
The Government’s Public Service AI Work Programme is standing up an assurance model and toolkit for AI in the public sector. The Responsible AI Guidance for the Public Service: GenAI sets explicit expectations across governance, accountability, transparency, bias, privacy, and Māori, Pacific Peoples and ethnic communities. Most agencies and enterprises are shipping AI features faster than they’re producing the evidence to back them up. AI systems assurance closes that gap with audit-grade independent review.
What we assess
Three lenses on every AI system we review — from chat assistants to decision-support models to embedded automation.
What you walk away with
- Independent assurance report — findings, risks, and recommendations a board or minister can act on.
- Risk-ranked findings register — every issue scored on likelihood and impact, with evidence attached.
- Mapping against the Responsible AI Guidance — your system, side-by-side with the public service guidance areas it touches: governance, accountability, transparency, bias, privacy, accessibility, and Māori, Pacific Peoples and ethnic communities.
- Remediation roadmap — prioritised, sequenced, costed at a level you can take into governance.
- Executive readout — optional briefing for the board, steerco, or accountable executive responsible for the system.
Who it’s for
Organisations deploying AI where a wrong answer carries real consequences — for citizens, customers, or the public purse.
Public sector agencies
Agencies working under the Responsible AI Guidance and the Public Service AI Work Programme — needing the kind of independent evidence the new Government Digital Delivery Agency (GDDA) is signalling, as it embeds integrated standards and assurance practices across the public service.
Regulated industries
Banks, insurers, telcos, and health providers using AI in decisions that touch customers, payments, or clinical outcomes — where regulators are already asking what good assurance looks like.
Boards and accountable executives
Directors and senior leaders who carry the personal accountability when an AI system gets it wrong — and need an independent view of whether their teams have actually de-risked it.
Why Resync
Three reasons your AI assurance work gets a straight answer, not a sales pitch.
Truly independent
We don’t build the AI. We don’t sell the models. We don’t run the platforms. Our only loyalty is to whether your system does what you say it does — safely and lawfully.
AoG procurement-ready
An All-of-Government Marketplace approved supplier. Engaging Resync sits cleanly inside the modern digital procurement models the GDDA is delivering with the supplier market.
Local and Māori-owned
A New Zealand-owned, Māori-owned consultancy. Decisions get made here, with you — relevant when AI work touches cultural data, te reo, or the considerations the Responsible AI Guidance flags for Māori, Pacific Peoples and ethnic communities.
Scoped to your system
Every assurance engagement is scoped to the system you’re deploying — the model, the data it touches, the decisions it influences, the guidance you answer to. We agree scope, duration, and deliverables up front, and run a pre-deployment review or continuous assurance pattern depending on what your governance actually needs. Closely related to our broader independent QA Audit service — many engagements combine the two.
Frequently asked questions
What programme directors, accountable executives, and procurement leads ask us before an AI systems assurance engagement.
