Claude Claude Partner
Claude, from Anthropic, is the model we reach for when the work is thinking rather than formatting: long documents read properly, analysis that holds up, research pulled together from source material, and processes built once and reused. It is a general-purpose tool rather than an add-on to a particular suite, which is exactly why it handles the work that does not fit neatly inside an app.
We put teams on a business plan rather than personal accounts, deliberately. On Team and Enterprise plans Anthropic does not train on your data by default, which answers the question every business owner asks first, and it gives you the administrative control that personal logins never will.
- Long documents contracts, reports and tender responses read end to end, not skimmed.
- Analysis reasoning over your own data, with its working shown so you can check it.
- Cowork give it an outcome, it breaks the project into chunks and returns for decisions.
- Repeatable workflows a process built once and run by the whole team, rather than one-off prompts.
Our honest review of Claude for business covers where it is genuinely strong and where it is not the right tool, and Claude build sessions are four hours, hands-on, at $1,889 + GST (NZD) per person.
Microsoft Copilot
Copilot lives inside the Microsoft 365 apps your team uses every day. It drafts emails, summarises meetings, analyses spreadsheets, and creates presentations from your existing content, all while understanding your organisation's data and keeping it secure.
We handle the technical setup: licensing, security policies, data governance, and integration with your existing Microsoft 365 environment. More importantly, we help you identify the use cases that will actually deliver value for your specific workflows.
- Word & Outlook draft documents from prompts, summarise long email threads, and rewrite content in different tones.
- Excel analyse data with natural language, create formulas from plain English, and generate charts and insights.
- Teams capture meeting summaries, extract action items, and catch up on conversations you missed.
- PowerPoint create presentations from documents, generate speaker notes, and design slides from prompts.
OpenAI & ChatGPT
ChatGPT is the tool most of your people have already tried, usually on a personal account, which is the problem rather than the opportunity. Brought inside the business properly it earns its place: custom GPTs that encode a process your team repeats, drafting and rewriting at speed, and a platform your developers can build against directly.
The work we do here is as much governance as enablement. Which account people use, what may never be pasted into it, and where the line sits between a genuine productivity gain and an uncontrolled copy of your data sitting outside your tenant.
- Custom GPTs a repeated process turned into something the whole team can run.
- Team rollout business accounts, administrative control, and a policy people can actually follow.
- The API where a build needs a model rather than a chat window.
Agents & bots
An agent is the step past a chat window. Instead of answering when asked, it watches for something happening, does the work, and comes back with a result. Copilot Studio agents handle defined tasks inside your Microsoft tenant. A larger agent fleet, of the kind the AI Bootcamp stands up, runs against your document estate and keeps SOPs, policies and ISMS documentation current as a matter of routine rather than as an annual panic.
The part that decides whether this is safe is not the model, it is the control around it. Every change an agent proposes lands as a proposal a human approves, and every one of them is written to an audit trail. The agents run on your AI subscriptions inside your own environment, your people hold the keys, and your data stays in the repositories it lives in today. You should gain control from this, not hand it over.
- Propose, approve, audit nothing an agent does reaches your systems without a person agreeing to it.
- Service and intake bots the routine questions answered, with a human kept in the loop on anything that matters.
- Document agents SOPs and policies kept current continuously instead of reviewed once a year.
- Your tenancy your subscriptions, your keys, your data where it already lives.
Power Platform
Power Platform is Microsoft's low-code toolkit for building business applications and automating workflows. Power Automate handles repetitive tasks, Power Apps creates custom applications, and Power BI turns your data into dashboards. Together they solve problems that would otherwise need custom development: approval workflows, data-entry automation, alert systems, scheduled reports, and integrations between systems that don't natively talk.
Start with one process. Pick something that consumes time and happens frequently, automate it, measure the time saved, then do another. This incremental approach builds momentum and delivers value at each step.
Local AI
Not everything belongs in the cloud. For organisations handling sensitive data such as legal documents, medical records, financial information or proprietary research, sending content to external AI services isn't always acceptable. We deploy AI models that run entirely on your infrastructure, whether on-premises or in a private cloud environment, so your data never leaves your network. You still get document processing, intelligent search, summarisation and data sovereignty, without the compliance concerns of cloud-based services.
Sometimes that means cloud AI with proper data governance is actually the better fit. We assess your needs and recommend the right approach rather than selling you the AI hype.
What has to be true before AI helps
AI amplifies whatever it is pointed at. If permissions are loose, Copilot will surface documents people were never meant to see, which is a governance problem rather than an AI problem. Getting identity and access right, and having Microsoft 365 configured properly, does more for a Copilot rollout than any amount of prompt training. That is exactly what the readiness assessments check.
That is why AI work sits on top of a well-run environment: managed IT underneath, cyber security watching, and compliance obligations understood before data goes anywhere near a model. If you are choosing between assistants, our comparison of the main options is a plain-English starting point, and IT advisory can sequence it against everything else competing for budget.
