Copilot was the easy part. The hard part is what to build next.
Personal productivity, team agents and enterprise applications are three different jobs. We help you tell them apart, and build at the right level.
Book a Copilot & agents workshopYou’re already on the Microsoft platform. The question is what to build on it.
The clearest way to decide where an AI use case belongs isn’t technical — it’s scope. As the answer to “who does this serve?” widens from one person to a team to the whole organisation, the right Microsoft tool changes with it. Get that match right and AI scales; get it wrong and it stalls.
Microsoft 365 Copilot
Personal productivity — drafting, summarising and triaging in the apps your team already uses. Where it stops: it’s general-purpose; it doesn’t know your processes and can’t act in your systems.
A Copilot Studio agent
Actions a task or solves a defined problem for a person, a team or a department — built low-code. Where it stops: it’s bounded; when the job spans the organisation or carries real risk, it’s at the edge.
A managed enterprise application
Meant for everyone — cross-department, multi-system, often customer-facing. It belongs as a managed application, built and governed properly. That’s a bespoke Azure AI Foundry build, or QBot.
Build it where it can be governed
None of the lines between the three are hard — a use case rarely arrives with a label on it, and plenty sit right on the boundary. Reading where a piece of work belongs, and knowing when to move it up, is most of the job.
The rule of thumb we won’t bend: once something is genuinely enterprise-wide, you don’t want it built and run in an uncontrolled, ungoverned way. At that point it should sit as a managed enterprise application — with the access, ownership and controls the whole organisation needs.
Take the engagement that matches where you are
Two distinct pieces of work. Take the one that fits today — many organisations do the first, then the second once Copilot has bedded in.
Copilot Adoption Engagement
Best for: organisations rolling Copilot out for the first time, or with licences live but adoption flat.
- A review of how your staff actually work and where AI earns its place
- The personal-productivity use cases worth leading with, prioritised
- Your environment readied across security, permissions and governance
- A rollout and adoption plan that sticks — so Copilot gets used, not shelved
Copilot Studio Enablement Engagement
Best for: organisations past adoption and ready to start building agents.
- Hands-on enablement to build agents in Copilot Studio
- A clear decision on who should — and shouldn’t — be building
- Guardrails for citizen development you can actually govern
- The boundary rules for when a use case has outgrown Copilot Studio
Copilot Studio means more of your people can build agents
The moment building an agent no longer needs a developer, more people can do it — and they will. That’s genuinely useful: the person who owns the problem is often the best person to solve it. It’s also how you end up with forty half-finished agents, no clear owner, and data reaching places it shouldn’t.
So part of the Enablement Engagement is deciding who should build, not just who can: identifying the people suited to it, setting the guardrails they work inside, and marking the point where a build hands over to a professional team. The result is citizen development you can actually govern.
And when scope crosses into enterprise territory? Neither engagement forces a use case to stay in Copilot Studio. When something becomes genuinely organisation-wide, we escalate it into a governed enterprise application — a bespoke Azure AI Foundry build or a platform like QBot — built and managed accordingly, so the whole organisation can rely on it.
Proven at every level of scope
From personal productivity to organisation-wide platforms — each is running in production with a named organisation.
Haileybury College
Cut in report-preparation time for teaching staff — the productivity tier.
Newington College
A tailored, Azure-powered AI assistant for students and staff — an agent-tier build.
NRMA Insurance
A report that took around a week now takes about ten minutes, on QBot — enterprise tier.
UNSW Sydney
Pass rate lifted across 500+ students, with 99% satisfaction — enterprise scale.
“What started as a digital assistant is really evolving into a strategic enabler.”
Certified Microsoft Solutions Partner, where you work
Copilot lands differently in a school, a charity and a bank. We bring sector context, not a generic rollout.
Health & Aged Care
Free clinicians from admin with AI that respects privacy and compliance.
Learn moreProfessional Services
Turn billable knowledge into agents that draft, search and summarise.
Learn moreCopilot, agents and enterprise AI — the honest answers
It comes down to who the AI serves. Microsoft 365 Copilot is personal productivity for an individual. A Copilot Studio agent actions a task or solves a defined problem for a person, a team or a department, built low-code. An enterprise application is for the whole organisation — cross-department, multi-system, often customer-facing — and it should be built and governed as a managed application, not left to grow in an uncontrolled way.
Yes — that’s where the Copilot Adoption Engagement starts: understanding how your staff actually work, finding the personal-productivity use cases worth leading with, getting your environment ready across security, permissions and governance, and rolling Copilot out with adoption that sticks.
Use scope as the rule of thumb. If it serves a person, a team or a department, a Copilot Studio agent is usually the right home. If it’s meant for the whole organisation — spanning departments, reaching systems outside Microsoft 365, or facing customers — it’s likely an enterprise application that should be built and governed accordingly. Reading where a use case sits is part of the Enablement Engagement.
Copilot Studio lets people build agents without writing code, which means more of your team can — but not everyone should. The Enablement Engagement identifies who is suited to building, sets the guardrails they work inside, and draws the line where a build should hand over to a professional team. The aim is citizen development you can actually govern.
When something becomes genuinely enterprise-wide, you don’t want it running in an uncontrolled or ungoverned way. At that point it should sit as a managed enterprise application, available to the whole organisation with the right access and controls. That’s typically a bespoke Azure AI Foundry build or a platform like QBot, and we escalate it cleanly rather than starting again.
Book a Copilot & agents workshop
We’ll map your use cases to the right level — personal productivity, a Copilot Studio agent, or an enterprise application — work out who should be building agents, and point you to the engagement that fits. Whether you’re rolling Copilot out or ready to build, you start with clarity, not a commitment.
+61 2 8275 8811 No obligation, no pitch — an honest read on what’s worth building and where it belongs.