Skip to content
AI New Zealand
Home AI Playbook AI OS Executive AI Briefing AI Lunch & Learn Microsoft Copilot course Claude at Work course AI Leaders course AI Roadshow Premium membership Toolkits Webinars Insights AI Academy Contact us Sign In

AI-powered business operating system

Your whole team. One AI operating system. Consistent results.

Stop relying on individuals using AI differently. Give your team a shared, managed AI operating system: built for your business, connected to your tools, and maintained to keep improving.

The evolution of AI in business

Most organisations are stuck between experimentation and scale.

Individual tools. Inconsistent outputs. Knowledge trapped in whoever happens to be using AI that day. That's AI theatre: it looks productive, and it doesn't move a metric.

The next step isn't more tools. It's an operating model. One that encodes how your firm works, connects AI to your systems, and gives every person on your team a trusted AI assistant they can delegate work to, consistently.

1

Individual experimentation.

People discover AI individually. Results vary wildly. No shared standards.

2

Policies and basic training.

An AI policy lands. A workshop runs. Some teams get curious, others stay sceptical.

3

Scattered tool adoption.

Copilot, Claude, ChatGPT, Perplexity. Everyone using different tools. Highest risk: hard to govern, harder to measure.

The move
4

A shared AI operating system.

Your methodology, brand voice and workflows encoded into a single shared AI environment. Connected. Governed. Improving monthly.

The OS stage is where value compounds.

What is an AI OS?

Built for how your business actually works.

Four integrated layers that turn AI from a personal productivity tool into a company-wide operating capability.

Layer 1

Governance layer.

Permissions, oversight, versioning and AI guardrails built in. AI drafts. Humans approve. Confidence without the risk.

Layer 2

Skills layer.

AI-powered workflows configured for your most common output types: proposals, reports, meeting minutes, client communications, advisory documents.

Layer 3

Knowledge layer.

Your methodology, brand voice, templates and past work encoded and reusable. Consistent quality across every team member, every time.

Layer 4

Integration layer.

Connected to Microsoft 365, CRM, Teams, SharePoint and the tools your team already uses. Less manual filing. Less context switching.

The shift

Everyone is buying the skills layer. The future thinkers are investing in the integration layer.

The AI OS is operational infrastructure. Designed to integrate data, process and people in one platform that can scale and flex with your business.

Your firm's thinking, standards and past work become systemised and reusable, so the whole team produces high-quality work faster and more consistently.

Book a discovery call

Who it's for

Built for knowledge-work organisations.

Professional services, advisory, accounting, legal, financial services, property, and not-for-profits with a heavy documentation load.

Best fit

10–20 person professional services firms.

Big enough to feel the pain of inconsistency. Small enough to move fast. Consulting, advisory, accounting, legal, financial services or property.

Strong fit

20–50 person firms ready for the next step.

You've run the workshops. Copilot is live. Now you want a structured, ongoing operating model, not another round of prompting tips. This is the next step.

Strong fit

Local GOVT, Non-profits and industry associations.

High documentation load. Compliance requirements. Knowledge held in long-serving staff. Your AI OS retains and systemises that institutional knowledge.

AI OS managed service

From governance to daily use in four to six weeks.

Six phases. We start inside your existing policies, and finish with your team using the system every day. Then we manage, improve and expand it every month on retainer. The system gets more valuable over time.

0

Governance and guidelines.

We build within your organisational guidelines and policies. We review your AI policy, privacy, security and data handling rules, then establish the governance protocols the system runs under: what AI can access, who approves what, and where a human stays in the loop.

1

Discovery and workflow mapping.

We run stakeholder discovery sessions and a workflow audit. We capture your methodology, brand voice, document standards, and the highest-value use cases to build first.

2

Architecture and skill design.

We design the AI skill set, connector architecture and private plugin environment. Every decision is tied back to a workflow, a value lever and the governance protocols agreed in phase zero.

3

Build, deploy and test.

Skills are built and validated. Connectors are deployed. The Claude or Copilot environment is live. We test against real work, and against your guardrails, before you ever touch it.

4

Training, rollout and handover.

Team training sessions, administrator handover, usage guidance and launch support. Your people know the rules as well as the tools. Your team is confident and using it by week six.

5

Retainer-led improvement cycle.

Monthly maintenance, skill refinement, new use-case development, connector support and governance review. The system keeps improving. You keep the competitive edge.

Included, not extra

Your AI OS comes with a client workspace.

The Client Engagement Platform is where your engagement lives: your objective, the use cases your team logs, the delivery plan, the governance documents and the value the work is returning. We designed and built it ourselves, and it is live from the day we start.

  • Hours won back and dollars saved across your use cases, updating as each one goes live.
  • A register your whole team fills in, scored and ranked into a delivery order.
  • Delivery phases, deliverables and dates, so you can see what is under way and what is next.
  • Your AI policy, guidelines and documents, kept in one secure place.
  • Access you set yourself, with a one time email code instead of a password.
The Client Engagement Platform home screen, showing hours won back, annual saving, live use cases and roadmap progress

Pricing

Simple, transparent pricing.

A base engagement to build the system in Numa, Claude Cowork, Microsoft Copilot, or open-source models hosted on your own infrastructure, then a retainer to run and improve it. Rates are estimates only and exclude GST.

Numa by Arcanum.

Set up $15,000

Customised deployment of Numa, plus a $2,500 per month retainer (minimum 6 months).

  • Suitable for teams of 5 to 100+
  • Discovery and workflow audit
  • Use Case Roadmap
  • 5 client-configured AI skills & required data connections
  • Team training session
  • Documentation and operating guidance
  • Administrator handover
  • Every month on the retainer
  • New Connectors and Skills added monthly
  • 1 x 60-minute AI Sprint per month
  • Monthly training sessions
  • Monthly reporting
Get started
4 Activations In Progress

Claude Cowork.

From $20,000

Managed service deployment of Claude Cowork plus $2,500 per month retainer (minimum 6 months).

  • Suitable for teams of 20 to 100+
  • Stakeholder discovery sessions
  • Workflow and document audit
  • Use Case Roadmap
  • 5 client-configured AI skills & required data connections
  • Private Claude plugin deployment
  • Team training and documentation
  • Administrator handover and launch support
  • Every month on the retainer
  • New Connectors and Skills added monthly
  • 1 x 60-minute AI Sprint per month
  • Monthly training sessions
  • Monthly reporting
Get started

Microsoft Copilot.

From $25,000

Microsoft Copilot deployment. Plus managed service retainer from $3,500 per month (minimum 6 months).

  • Suitable for companies with 20 to 200+ users
  • Stakeholder discovery sessions
  • Workflow and document audit
  • Data & security audit
  • Use Case Roadmap
  • 5 client-configured Agents / Skills & required data connections
  • Includes Copilot Cowork
  • Includes Copilot Studio
  • Team training and documentation
  • Administrator handover and launch support
  • Every month on the retainer
  • New Connectors, Agents or Skills added monthly
  • 1 x 60-minute AI Sprint per month
  • Monthly training sessions
  • Monthly reporting
Talk to us

Open Source.

From $25,000

Open-source models, such as Qwen, hosted on your own infrastructure. Plus $2,500 per month managed service (minimum 6 months).

  • Stakeholder discovery and workflow audit
  • Open-weight models hosted in your environment
  • Your data never leaves your infrastructure
  • 5 client-configured AI skills
  • 2–3 system connectors
  • Team training and documentation
  • Administrator handover and launch support
  • Every month on the retainer
  • New Connectors and Skills added monthly
  • 1 x 60-minute AI Sprint per month
  • Monthly training sessions
  • Monthly reporting
Talk to us

Not sure which fits? Book a discovery call and we'll recommend the right starting point for your team.

Tool selection

The right platform for your team.

We're platform-agnostic. The operating model comes first, then we deploy it on the platform that fits your team, your systems and your budget.

NZ-built · fast to deploy

Numa.

A homegrown agent platform from Wellington's Arcanum. Pre-built AI agents take repetitive busywork off your team: quoting, reporting, meeting notes, support email and knowledge search. Fast to stand up, priced for SMEs, and already working inside Kiwi businesses.

asknuma.ai →
Most popular

Claude Cowork.

Anthropic's Claude, set up as your shared AI environment: your methodology, brand voice and workflows encoded as skills, connected to your systems through a private plugin deployment. The platform behind most of our AI OS builds.

Microsoft 365 organisations

Microsoft Copilot.

For organisations committed to the Microsoft ecosystem: agents and workflows built into Microsoft 365, Teams and SharePoint, with the governance controls your IT team already manages.

Sovereign · runs on your infrastructure

Open Source / Sovereign Infrastructure.

Open-weight models such as the Qwen 14B model (or similar) hosted entirely on your own infrastructure. Your data never leaves your environment: ideal for organisations with strict data sovereignty, privacy or compliance requirements. We configure, deploy and manage it as a private AI environment.

Good to know

Frequently asked questions.

What if the team won't adopt it?

Nobody gets this sprung on them. Bringing your people along is part of the work: we build skills across the business, not just in one team.

What if we're locked in?

You're not. Our methodology is transferable, and it moves with you to platforms like ChatGPT, Microsoft Copilot, Numa and Claude.

What happens if we cancel after six months?

Nothing breaks. By then your people can run the AI OS themselves, and no part of it depends on us. We're here if you want a hand.

What do we get with the monthly retainer?

A full managed service: support, training and new AI-powered workflows every month. Your AI OS gets more capable, and more valuable, as it goes. See what each tier includes →

Something we haven't covered? Book a discovery call and ask us directly.