Microsoft just launched a new business called Frontier Company. In plain terms, it’s a team of Microsoft’s own people who embed themselves inside a customer’s business to design, build and run AI systems tailored to that business, rather than just selling software and walking away.
It’s backed by a $2.5 billion commitment and more than 6,000 experts. What struck me wasn’t the size of the number. It was the shift in thinking behind it.
Microsoft is saying, pretty clearly, that AI for business isn’t about quick pilots or one-off demos anymore. It’s about outcomes you can measure and intelligence you actually protect.
Here’s what Frontier Company is, why it matters if you’re running a business, and how you can apply the same thinking even without a Microsoft team on-site.
Why This Announcement Matters
From Pilots to Outcomes
For the last couple of years, a lot of businesses have treated AI as a side project. A chatbot here, an automated report there, a Copilot trial that never really grows past a handful of people.
Frontier Company signals that this phase is ending. Microsoft describes it as “Frontier Transformation,” pairing deep industry knowledge and change management with proper AI engineering, all pointed at outcomes rather than isolated tools.
The question is shifting from “what can this model do” to “what result will this system deliver, and how do we run it safely at scale.” That’s the same conversation I’m having with business leaders every week.
The Scale of the Commitment
Frontier Company launches with $2.5 billion in funding and 6,000 embedded experts, including engineers and sector specialists who work inside customer businesses rather than flying in for a workshop and leaving again.
Early reference customers include names like Unilever and Novo Nordisk, alongside major consulting firms.
You don’t need to look like Unilever for this to be relevant.
The takeaway is simpler: the world’s biggest software vendor now treats AI deployment as a long-term, embedded discipline rather than a short project with a finish line.
What Frontier Company Actually Does
Microsoft describes this as going beyond traditional forward-deployed engineering. In plain terms, here’s what that looks like:
Teams sit inside the customer’s business and work alongside internal staff day to day
AI systems get built around the business’s own data and processes, not a generic template
Support continues after go-live, with training and ongoing improvement built into the model rather than treated as an extra
The goal is to help each business build something that reflects its own way of working and keeps its intelligence protected, rather than pushing everyone into the same product.
One detail worth calling out: Frontier Company isn’t locked to Microsoft’s own models. Customers can combine AI from Microsoft, OpenAI, Anthropic and open source providers depending on what suits each task.
That’s a meaningful shift.
The conversation moves from “which single vendor do I pick” to “which mix of models makes sense for each part of my business, under clear rules.” It’s close to how we think about design at CG TECH, especially when we’re blending Microsoft 365, Copilot and other models in the one environment.
Applying This Without a Frontier Team on Site
Most businesses in Australia won’t have a Frontier Company team sitting in their office any time soon. That doesn’t mean the pattern isn’t useful. Strip it back and you get a playbook any business can follow with the right partner:
Start with a clear business outcome, not a model name
Treat AI work as something that touches operations, finance, HR and risk, not just IT
Build on top of tools you already use, like Microsoft 365, your ERP or your CRM, rather than bolting on a separate AI layer
Commit to measuring and refining the system over time, instead of launching once and walking away
This is close to how we run AI projects with business leaders. We map the work as it happens today, then design agent-assisted versions using Microsoft 365, Copilot and Power Platform, bringing in other models where they genuinely add value.
Four Questions Worth Asking First
Looking at Frontier Company through a business lens, four questions stand out. They’re a useful check before starting any AI project, big or small.
What outcome are you actually chasing?
Is the goal fewer manual steps, faster approvals, better forecasts or tighter risk controls? Without a clear answer, it’s hard to tell whether an AI system is doing more than producing interesting output.
Which processes are ready for agent-assisted work?
Frontier Company focuses on embedding AI into real workflows. In practice, that means finding specific tasks where an agent can draft, gather, check or trigger something, while your team stays accountable for the final call.
How will you protect your data and IP?
Microsoft is clear that customers keep ownership of what gets built with their own data. Locally, that means setting guardrails around which data feeds which models, what stays inside your tenant, and how permissions carry through properly.
Who owns the change management?
Forward-deployed engineering is as much about people as code. Someone in your business needs to own training, communication and the shift in day-to-day roles, or even a well-built system will struggle to stick.
Where CG TECH Fits In
At CG TECH, we’ve been building toward this agent-first way of working for a while now. We help businesses turn manual workflows into agent-assisted ones using Microsoft 365, Copilot and automation, particularly around finance, reporting and operations.
That includes shaping processes in Word, Excel, PowerPoint and Teams so Copilot can genuinely help rather than sit unused, and building Power Platform solutions that connect systems so an agent can actually see enough of the picture to be useful.
Frontier Company also sits inside a bigger conversation about AI safety and model choice, which is something we’ve written about before when Claude Fable 5 came back online after its global suspension, bringing tighter safeguards and jailbreak scoring with it.
The same thinking applies inside Microsoft environments. When we design AI systems with clients, we think carefully about which tasks need the most capable model and which are better served by something cheaper and lower risk, how data gets partitioned across Microsoft 365 and Azure, and how workflows are shaped to avoid risky behaviour in the first place.
Frontier Company’s focus on amplifying customer intelligence while protecting IP lines up neatly with that approach.
Getting Started Over the Next 90 Days
You don’t need a $2.5 billion budget to make a frontier-style move. In most businesses, the best starting point is one area where the link between AI and outcomes is obvious, like a finance team drowning in manual reporting, an operations team stitching data together by hand, or a people team managing high volumes of requests.
Pick one of those, define a clear outcome, and design an agent-assisted workflow with the tools you already have.
Then treat it like a product, not a pilot. Frontier Company’s model is built around ongoing improvement rather than a single launch moment. Give someone ownership of the workflow, have them track results, adjust prompts and automations, and report back on whether it’s actually delivering.
Bring your risk, compliance and people leaders in early too. Frontier Company doesn’t treat engineering and change management as separate tracks, and neither should you.
When people understand why a system exists and how it changes their day, adoption tends to move faster and pushback drops away. That’s been true across every business we’ve helped move from a one-off AI experiment into something that actually sticks.
About the Author
Carlos Garcia is the Founder and Managing Director of CG TECH, where he leads enterprise digital transformation projects across Australia.
With deep experience in business process automation, Microsoft 365, and AI-powered workplace solutions, Carlos has helped businesses in government, healthcare, and enterprise sectors streamline workflows and improve efficiency.
He holds Microsoft certifications in Power Platform and Azure and regularly shares practical guidance on Copilot readiness, data strategy, and AI adoption.
Microsoft just launched a new business called Frontier Company. In plain terms, it’s a team of Microsoft’s own people who embed themselves inside a customer’s business to design, build and run AI systems tailored to that business, rather than just selling software and walking away.
It’s backed by a $2.5 billion commitment and more than 6,000 experts. What struck me wasn’t the size of the number. It was the shift in thinking behind it.
Microsoft is saying, pretty clearly, that AI for business isn’t about quick pilots or one-off demos anymore. It’s about outcomes you can measure and intelligence you actually protect.
Here’s what Frontier Company is, why it matters if you’re running a business, and how you can apply the same thinking even without a Microsoft team on-site.
Why This Announcement Matters
From Pilots to Outcomes
For the last couple of years, a lot of businesses have treated AI as a side project. A chatbot here, an automated report there, a Copilot trial that never really grows past a handful of people.
Frontier Company signals that this phase is ending. Microsoft describes it as “Frontier Transformation,” pairing deep industry knowledge and change management with proper AI engineering, all pointed at outcomes rather than isolated tools.
The question is shifting from “what can this model do” to “what result will this system deliver, and how do we run it safely at scale.” That’s the same conversation I’m having with business leaders every week.
The Scale of the Commitment
Frontier Company launches with $2.5 billion in funding and 6,000 embedded experts, including engineers and sector specialists who work inside customer businesses rather than flying in for a workshop and leaving again.
Early reference customers include names like Unilever and Novo Nordisk, alongside major consulting firms.
You don’t need to look like Unilever for this to be relevant.
The takeaway is simpler: the world’s biggest software vendor now treats AI deployment as a long-term, embedded discipline rather than a short project with a finish line.
What Frontier Company Actually Does
Microsoft describes this as going beyond traditional forward-deployed engineering. In plain terms, here’s what that looks like:
The goal is to help each business build something that reflects its own way of working and keeps its intelligence protected, rather than pushing everyone into the same product.
One detail worth calling out: Frontier Company isn’t locked to Microsoft’s own models. Customers can combine AI from Microsoft, OpenAI, Anthropic and open source providers depending on what suits each task.
That’s a meaningful shift.
The conversation moves from “which single vendor do I pick” to “which mix of models makes sense for each part of my business, under clear rules.” It’s close to how we think about design at CG TECH, especially when we’re blending Microsoft 365, Copilot and other models in the one environment.
Applying This Without a Frontier Team on Site
Most businesses in Australia won’t have a Frontier Company team sitting in their office any time soon. That doesn’t mean the pattern isn’t useful. Strip it back and you get a playbook any business can follow with the right partner:
This is close to how we run AI projects with business leaders. We map the work as it happens today, then design agent-assisted versions using Microsoft 365, Copilot and Power Platform, bringing in other models where they genuinely add value.
Four Questions Worth Asking First
Looking at Frontier Company through a business lens, four questions stand out. They’re a useful check before starting any AI project, big or small.
What outcome are you actually chasing?
Is the goal fewer manual steps, faster approvals, better forecasts or tighter risk controls? Without a clear answer, it’s hard to tell whether an AI system is doing more than producing interesting output.
Which processes are ready for agent-assisted work?
Frontier Company focuses on embedding AI into real workflows. In practice, that means finding specific tasks where an agent can draft, gather, check or trigger something, while your team stays accountable for the final call.
How will you protect your data and IP?
Microsoft is clear that customers keep ownership of what gets built with their own data. Locally, that means setting guardrails around which data feeds which models, what stays inside your tenant, and how permissions carry through properly.
Who owns the change management?
Forward-deployed engineering is as much about people as code. Someone in your business needs to own training, communication and the shift in day-to-day roles, or even a well-built system will struggle to stick.
Where CG TECH Fits In
At CG TECH, we’ve been building toward this agent-first way of working for a while now. We help businesses turn manual workflows into agent-assisted ones using Microsoft 365, Copilot and automation, particularly around finance, reporting and operations.
That includes shaping processes in Word, Excel, PowerPoint and Teams so Copilot can genuinely help rather than sit unused, and building Power Platform solutions that connect systems so an agent can actually see enough of the picture to be useful.
Frontier Company also sits inside a bigger conversation about AI safety and model choice, which is something we’ve written about before when Claude Fable 5 came back online after its global suspension, bringing tighter safeguards and jailbreak scoring with it.
The same thinking applies inside Microsoft environments. When we design AI systems with clients, we think carefully about which tasks need the most capable model and which are better served by something cheaper and lower risk, how data gets partitioned across Microsoft 365 and Azure, and how workflows are shaped to avoid risky behaviour in the first place.
Frontier Company’s focus on amplifying customer intelligence while protecting IP lines up neatly with that approach.
Getting Started Over the Next 90 Days
You don’t need a $2.5 billion budget to make a frontier-style move. In most businesses, the best starting point is one area where the link between AI and outcomes is obvious, like a finance team drowning in manual reporting, an operations team stitching data together by hand, or a people team managing high volumes of requests.
Pick one of those, define a clear outcome, and design an agent-assisted workflow with the tools you already have.
Then treat it like a product, not a pilot. Frontier Company’s model is built around ongoing improvement rather than a single launch moment. Give someone ownership of the workflow, have them track results, adjust prompts and automations, and report back on whether it’s actually delivering.
Bring your risk, compliance and people leaders in early too. Frontier Company doesn’t treat engineering and change management as separate tracks, and neither should you.
When people understand why a system exists and how it changes their day, adoption tends to move faster and pushback drops away. That’s been true across every business we’ve helped move from a one-off AI experiment into something that actually sticks.
About the Author
Carlos Garcia is the Founder and Managing Director of CG TECH, where he leads enterprise digital transformation projects across Australia.
With deep experience in business process automation, Microsoft 365, and AI-powered workplace solutions, Carlos has helped businesses in government, healthcare, and enterprise sectors streamline workflows and improve efficiency.
He holds Microsoft certifications in Power Platform and Azure and regularly shares practical guidance on Copilot readiness, data strategy, and AI adoption.
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