Microsoft’s UK and Ireland partners are becoming the front line for Copilot adoption as enterprise customers weigh Microsoft 365 integration against unresolved concerns over data residency, privacy, and AI governance in 2026. The story is not simply that Microsoft has a channel advantage; it is that the company’s AI strategy now depends on that channel translating trust promises into operational reality. As Channel Insider reported, the UK&I market may be unusually receptive to Microsoft’s pitch, but that receptiveness comes with a hard condition: customers want to know where their data goes, who can touch it, and what AI systems do with it.
Microsoft does not need to persuade the UK and Ireland enterprise market from a standing start. It already sits inside the inbox, the document store, the identity layer, the endpoint stack, the collaboration platform, and often the cloud budget. That is a distribution advantage no AI-native rival can easily copy.
Copilot benefits from this embedded position. It arrives not as a strange new application but as an extension of Microsoft 365, Teams, Outlook, Word, Excel, PowerPoint, SharePoint, and the broader Azure estate. For many organisations, especially mid-market firms without large internal AI teams, the easiest AI procurement decision is the one that looks like a Microsoft licensing conversation.
That is why the UK&I partner ecosystem matters so much. Cloud resellers, managed service providers, security consultants, licensing specialists, and systems integrators already own the customer relationship that Copilot needs. They know which tenants are messy, which SharePoint sites are over-permissioned, which compliance teams are nervous, and which executives want “AI” without a clear operating model.
The contrast with Claude, ChatGPT, Gemini, and specialist AI platforms is important. Those products may win developer mindshare or executive curiosity, but Microsoft’s bet is that enterprise adoption is less about novelty than workflow gravity. If AI lives where the work already happens, Microsoft has the inside lane.
That is not merely a data-centre expansion. It is a geopolitical and commercial signal that Microsoft wants the UK to see its AI stack as domestic enough, strategic enough, and dependable enough for sensitive workloads. The company is trying to make the case that American hyperscale infrastructure can still satisfy British enterprise and public-sector expectations around sovereignty, resilience, and regulatory alignment.
The Ireland dimension complicates the picture. Ireland remains inside the European Union’s data protection regime, while the UK sits outside the EU after Brexit but continues to rely on adequacy arrangements that allow personal data to flow from the EU to the UK without additional transfer mechanisms. That arrangement is vital for cross-border businesses, but it also reminds customers that “UK&I” is a convenient sales region, not a single legal territory.
For Microsoft partners, this creates opportunity and risk. The opportunity is obvious: customers need help mapping AI workloads to data boundaries, licensing commitments, retention rules, and sector-specific compliance requirements. The risk is that partners become the human interface for promises they do not fully control.
Microsoft’s position is stronger than many consumer AI providers. In its Microsoft Learn documentation, the company says Microsoft 365 Copilot prompts, responses, and data accessed through Microsoft Graph are not used to train foundation large language models. It also says Copilot operates within Microsoft 365’s existing privacy, security, and compliance commitments, including GDPR and the EU Data Boundary.
That is a serious enterprise reassurance. It addresses one of the most common fears about generative AI: that confidential documents, emails, contracts, board papers, source code, or customer records could end up improving a vendor’s general-purpose model. Microsoft has been unusually explicit that Microsoft 365 Copilot business data is not used in that way.
But this does not end the governance conversation. Microsoft’s own documentation also explains that Copilot stores user prompts and responses as interaction history, encrypted at rest and manageable through tools such as Microsoft Purview. That is sensible from a compliance and audit perspective, but it means Copilot activity becomes another data set that organisations must classify, retain, search, delete, and govern.
The challenge for customers is that “not used for model training” is not the same as “never stored,” “never processed outside the country,” or “never exposed through a misconfigured permission.” Microsoft can answer the first claim clearly. The rest depends on licensing, configuration, geography, feature scope, tenant hygiene, and the customer’s own controls.
That matters enormously for regulated sectors. Banks, insurers, law firms, health organisations, government agencies, and critical infrastructure operators do not treat residency as a nice-to-have. They need contractual commitments, audit evidence, retention controls, and clear incident procedures.
The problem is that many organisations want the comfort of sovereign-style controls without buying the licenses, add-ons, or architecture that make those commitments real. Copilot has a way of exposing that gap. A CIO may assume that “we are on Microsoft 365 in the UK” means all relevant AI data stays neatly inside a local box, but the real commitments are more conditional and more product-specific than that.
Partners will be the ones explaining those conditions. They will need to distinguish between customer data at rest, transient processing, Microsoft Graph grounding, Copilot activity history, third-party connectors, agents, plugins, and features that may have different residency boundaries. That is not glamorous work, but it is exactly where Copilot adoption will either become durable or stall in procurement purgatory.
The UK&I channel should not undersell this complexity. A rushed Copilot rollout can create the appearance of AI progress while leaving behind poorly understood records, overbroad permissions, and compliance teams that discover the details after deployment. The organisations that move fastest safely will be the ones that treat residency as architecture, not a brochure line.
If a company’s SharePoint, Teams, OneDrive, Exchange, and group permissions are well managed, Copilot can be a powerful productivity layer. If years of migrations, shortcuts, “temporary” access grants, and abandoned sites have left sensitive documents broadly visible, Copilot can make that sprawl searchable in natural language.
This is where partners earn their margin. Copilot readiness is not just a licensing exercise; it is a permissions, information architecture, data loss prevention, retention, sensitivity labelling, and identity governance exercise. Customers who skip that work may conclude that Copilot is risky, when the deeper issue is that Copilot revealed risks that were already present.
Microsoft’s documentation stresses that Copilot only surfaces organisational data to which an individual user has at least view permission. That is an important guardrail, but it shifts attention back to the customer. If the wrong people can view the wrong files, Copilot will not magically infer that the access was accidental.
This changes the role of the managed service provider. The partner is no longer just turning on a cloud service; it is advising the customer on whether their information estate is fit for AI-mediated search and synthesis. In practice, many Copilot projects should begin with unglamorous governance remediation before anyone starts measuring productivity gains.
That makes Copilot adoption in UK&I more sensitive than a standard SaaS rollout. A customer operating across London, Dublin, Belfast, Frankfurt, and Paris may care not only about Microsoft’s regional architecture but about onward transfers, processor obligations, audit rights, and the durability of UK-EU adequacy arrangements. These are board-level concerns when AI systems process regulated or confidential information.
For partners, the practical message is that “GDPR compliant” is too blunt a phrase. GDPR is not a sticker on a product; it is a set of obligations shared between controllers and processors, shaped by purpose, data category, geography, retention, access, and risk. Copilot may inherit Microsoft 365 compliance commitments, but customers still must decide whether a particular use case is lawful, proportionate, and properly documented.
This is especially true when Copilot moves from drafting emails to summarising HR investigations, legal files, health data, financial advice, or public-sector casework. The same tool can look low-risk in one context and highly sensitive in another. AI governance is not just about the vendor; it is about what the customer asks the system to do.
Microsoft’s partner network is well positioned because it already speaks the local language of procurement, compliance, and operational risk. But that local trust cuts both ways. If deployments go wrong, customers will remember which adviser told them the risk was “covered by Microsoft.”
That matters because Copilot is not adopted like Office was adopted. Word and Excel spread because they became default tools for document creation and spreadsheets. Copilot asks for something more intimate: permission to index, summarise, infer, and generate from the organisation’s internal knowledge.
A Microsoft account executive can describe the roadmap. A partner can sit with the customer and ask which departments should start, which data should be excluded, which use cases are too risky, and which executives will sponsor the necessary cleanup. That is a different kind of sales motion.
For SMBs, the partner role is even more decisive. Smaller organisations often lack dedicated privacy engineers, Microsoft 365 architects, or AI governance committees. They may trust a regional MSP more than they trust a hyperscaler’s white paper. If that MSP says Copilot is ready only after permissions reviews and user training, the customer is more likely to listen.
Microsoft therefore needs partners to be more than accelerators. It needs them to be brakes when necessary. The most credible Copilot advisers will not be the ones who sell the most seats fastest, but the ones who can tell a customer which workloads should wait.
That should reassure enterprise customers more than another marketing campaign would. If Microsoft believed Copilot could be deployed safely and effectively at scale through licensing alone, it would not need forward-deployed engineers. The company knows the hard part is integration, governance, workflow redesign, data readiness, and organisational change.
It also signals a split in the market. Large enterprises may get direct engineering support, custom architecture, and executive attention. Mid-market and SMB customers will depend more heavily on partners to translate the same principles into smaller budgets and less formal governance structures.
That creates a quality-control problem for the ecosystem. Some partners will build strong Copilot practices around data classification, Purview, Entra ID, SharePoint governance, prompt hygiene, and measurable adoption. Others will treat Copilot as a margin-rich license attach. Customers will need to learn the difference quickly.
For WindowsForum readers who live inside tenant administration, this is the practical hinge. Copilot success will be less about whether Microsoft’s model is clever and more about whether the organisation’s Microsoft 365 estate is coherent enough for AI to act on it without creating surprises.
That does not mean Copilot automatically wins on experience. Microsoft has faced criticism from users who find Copilot uneven, expensive, or less capable than rival assistants in certain tasks. The company’s advantage is not that every Copilot interaction is best-in-class. It is that Microsoft can make AI feel administratively survivable.
Enterprise buyers often choose the product that reduces organisational friction, not the product that wins a model benchmark. If Copilot can be governed through familiar Microsoft controls, purchased through familiar licensing routes, and supported by familiar partners, it becomes the default candidate even when users personally prefer something else.
This is not a small thing. The history of enterprise IT is full of technically superior tools beaten by platforms with better distribution, procurement alignment, and administrative manageability. Microsoft understands that history because it helped write much of it.
The danger for Microsoft is complacency. If Copilot is positioned as inevitable rather than earned, customers will push back. The UK&I channel can soften that by grounding deployments in concrete outcomes rather than platform destiny.
A serious readiness programme should examine SharePoint oversharing, Teams sprawl, guest access, stale groups, retention labels, sensitivity labels, DLP policies, eDiscovery needs, privileged roles, and audit logging. It should also test real use cases with real data and real users, not just canned demos. The lesson from early enterprise AI adoption is that productivity claims are highly context-dependent.
Training matters as much as configuration. Users need to understand that Copilot is not a neutral oracle; it is a probabilistic assistant grounded in the content and permissions available to it. It can summarise confidently, omit context, misunderstand nuance, and surface information that the organisation forgot was broadly available.
Partners can make this less scary by turning it into a phased programme. Start with low-risk departments, measure actual time savings, review security events, tune policies, and expand only when governance keeps pace. A cautious deployment is not anti-AI. It is how enterprise AI becomes boring enough to survive.
The most important details are practical rather than theatrical.
Microsoft’s Copilot Advantage Is Really a Distribution Advantage
Microsoft does not need to persuade the UK and Ireland enterprise market from a standing start. It already sits inside the inbox, the document store, the identity layer, the endpoint stack, the collaboration platform, and often the cloud budget. That is a distribution advantage no AI-native rival can easily copy.Copilot benefits from this embedded position. It arrives not as a strange new application but as an extension of Microsoft 365, Teams, Outlook, Word, Excel, PowerPoint, SharePoint, and the broader Azure estate. For many organisations, especially mid-market firms without large internal AI teams, the easiest AI procurement decision is the one that looks like a Microsoft licensing conversation.
That is why the UK&I partner ecosystem matters so much. Cloud resellers, managed service providers, security consultants, licensing specialists, and systems integrators already own the customer relationship that Copilot needs. They know which tenants are messy, which SharePoint sites are over-permissioned, which compliance teams are nervous, and which executives want “AI” without a clear operating model.
The contrast with Claude, ChatGPT, Gemini, and specialist AI platforms is important. Those products may win developer mindshare or executive curiosity, but Microsoft’s bet is that enterprise adoption is less about novelty than workflow gravity. If AI lives where the work already happens, Microsoft has the inside lane.
The UK Bet Is Bigger Than a Copilot Sales Push
Microsoft’s UK AI investment gives that channel story a much larger backdrop. In September 2025, Microsoft said it would invest $30 billion in the United Kingdom between 2025 and 2028, calling it its largest financial commitment in the country. Half of that was earmarked for cloud and AI infrastructure, including a supercomputer built with UK-based Nscale and powered by more than 23,000 Nvidia GPUs, according to Microsoft’s own announcement.That is not merely a data-centre expansion. It is a geopolitical and commercial signal that Microsoft wants the UK to see its AI stack as domestic enough, strategic enough, and dependable enough for sensitive workloads. The company is trying to make the case that American hyperscale infrastructure can still satisfy British enterprise and public-sector expectations around sovereignty, resilience, and regulatory alignment.
The Ireland dimension complicates the picture. Ireland remains inside the European Union’s data protection regime, while the UK sits outside the EU after Brexit but continues to rely on adequacy arrangements that allow personal data to flow from the EU to the UK without additional transfer mechanisms. That arrangement is vital for cross-border businesses, but it also reminds customers that “UK&I” is a convenient sales region, not a single legal territory.
For Microsoft partners, this creates opportunity and risk. The opportunity is obvious: customers need help mapping AI workloads to data boundaries, licensing commitments, retention rules, and sector-specific compliance requirements. The risk is that partners become the human interface for promises they do not fully control.
Data Residency Is the First Objection Because It Is the Easiest to Ask
The most basic enterprise question about Copilot is still the most powerful: where does the data go? It sounds simple, but in modern SaaS it opens a maze of subquestions about prompts, responses, grounding data, telemetry, abuse monitoring, audit logs, model routing, subcontractors, and regional processing commitments.Microsoft’s position is stronger than many consumer AI providers. In its Microsoft Learn documentation, the company says Microsoft 365 Copilot prompts, responses, and data accessed through Microsoft Graph are not used to train foundation large language models. It also says Copilot operates within Microsoft 365’s existing privacy, security, and compliance commitments, including GDPR and the EU Data Boundary.
That is a serious enterprise reassurance. It addresses one of the most common fears about generative AI: that confidential documents, emails, contracts, board papers, source code, or customer records could end up improving a vendor’s general-purpose model. Microsoft has been unusually explicit that Microsoft 365 Copilot business data is not used in that way.
But this does not end the governance conversation. Microsoft’s own documentation also explains that Copilot stores user prompts and responses as interaction history, encrypted at rest and manageable through tools such as Microsoft Purview. That is sensible from a compliance and audit perspective, but it means Copilot activity becomes another data set that organisations must classify, retain, search, delete, and govern.
The challenge for customers is that “not used for model training” is not the same as “never stored,” “never processed outside the country,” or “never exposed through a misconfigured permission.” Microsoft can answer the first claim clearly. The rest depends on licensing, configuration, geography, feature scope, tenant hygiene, and the customer’s own controls.
Advanced Data Residency Helps, but It Is Not a Universal Comfort Blanket
Microsoft’s Advanced Data Residency commitments are central to the Copilot discussion because they give eligible customers more specific assurances about where certain Microsoft 365 customer data is stored at rest. According to Microsoft’s documentation, stored content of interactions with Microsoft 365 Copilot can fall within those commitments when the customer has the right qualifying subscriptions and geography.That matters enormously for regulated sectors. Banks, insurers, law firms, health organisations, government agencies, and critical infrastructure operators do not treat residency as a nice-to-have. They need contractual commitments, audit evidence, retention controls, and clear incident procedures.
The problem is that many organisations want the comfort of sovereign-style controls without buying the licenses, add-ons, or architecture that make those commitments real. Copilot has a way of exposing that gap. A CIO may assume that “we are on Microsoft 365 in the UK” means all relevant AI data stays neatly inside a local box, but the real commitments are more conditional and more product-specific than that.
Partners will be the ones explaining those conditions. They will need to distinguish between customer data at rest, transient processing, Microsoft Graph grounding, Copilot activity history, third-party connectors, agents, plugins, and features that may have different residency boundaries. That is not glamorous work, but it is exactly where Copilot adoption will either become durable or stall in procurement purgatory.
The UK&I channel should not undersell this complexity. A rushed Copilot rollout can create the appearance of AI progress while leaving behind poorly understood records, overbroad permissions, and compliance teams that discover the details after deployment. The organisations that move fastest safely will be the ones that treat residency as architecture, not a brochure line.
Microsoft’s Privacy Pitch Is Strongest Where the Tenant Is Clean
Microsoft 365 Copilot’s greatest strength is also its governance trap: it uses Microsoft Graph to reason over the content a user can already access. That means Copilot generally does not create a new permission model. It amplifies the consequences of the one the customer already has.If a company’s SharePoint, Teams, OneDrive, Exchange, and group permissions are well managed, Copilot can be a powerful productivity layer. If years of migrations, shortcuts, “temporary” access grants, and abandoned sites have left sensitive documents broadly visible, Copilot can make that sprawl searchable in natural language.
This is where partners earn their margin. Copilot readiness is not just a licensing exercise; it is a permissions, information architecture, data loss prevention, retention, sensitivity labelling, and identity governance exercise. Customers who skip that work may conclude that Copilot is risky, when the deeper issue is that Copilot revealed risks that were already present.
Microsoft’s documentation stresses that Copilot only surfaces organisational data to which an individual user has at least view permission. That is an important guardrail, but it shifts attention back to the customer. If the wrong people can view the wrong files, Copilot will not magically infer that the access was accidental.
This changes the role of the managed service provider. The partner is no longer just turning on a cloud service; it is advising the customer on whether their information estate is fit for AI-mediated search and synthesis. In practice, many Copilot projects should begin with unglamorous governance remediation before anyone starts measuring productivity gains.
Brexit Made the Compliance Story More Political
The UK and Ireland share language, commercial ties, and a Microsoft sales region, but their data protection politics are not identical. Ireland remains a key EU jurisdiction for multinational technology firms, while the UK has tried to preserve data flows with Europe while also giving itself room to diverge after Brexit.That makes Copilot adoption in UK&I more sensitive than a standard SaaS rollout. A customer operating across London, Dublin, Belfast, Frankfurt, and Paris may care not only about Microsoft’s regional architecture but about onward transfers, processor obligations, audit rights, and the durability of UK-EU adequacy arrangements. These are board-level concerns when AI systems process regulated or confidential information.
For partners, the practical message is that “GDPR compliant” is too blunt a phrase. GDPR is not a sticker on a product; it is a set of obligations shared between controllers and processors, shaped by purpose, data category, geography, retention, access, and risk. Copilot may inherit Microsoft 365 compliance commitments, but customers still must decide whether a particular use case is lawful, proportionate, and properly documented.
This is especially true when Copilot moves from drafting emails to summarising HR investigations, legal files, health data, financial advice, or public-sector casework. The same tool can look low-risk in one context and highly sensitive in another. AI governance is not just about the vendor; it is about what the customer asks the system to do.
Microsoft’s partner network is well positioned because it already speaks the local language of procurement, compliance, and operational risk. But that local trust cuts both ways. If deployments go wrong, customers will remember which adviser told them the risk was “covered by Microsoft.”
The Channel Is Microsoft’s Human Trust Layer
Channel Insider’s core point is right: Microsoft’s indirect channel is one of its biggest advantages in the UK and Ireland. The company does not have to sell every Copilot seat through a direct enterprise campaign. It can rely on partners that already bundle Microsoft 365, Azure, security services, endpoint management, backup, compliance consulting, and user training.That matters because Copilot is not adopted like Office was adopted. Word and Excel spread because they became default tools for document creation and spreadsheets. Copilot asks for something more intimate: permission to index, summarise, infer, and generate from the organisation’s internal knowledge.
A Microsoft account executive can describe the roadmap. A partner can sit with the customer and ask which departments should start, which data should be excluded, which use cases are too risky, and which executives will sponsor the necessary cleanup. That is a different kind of sales motion.
For SMBs, the partner role is even more decisive. Smaller organisations often lack dedicated privacy engineers, Microsoft 365 architects, or AI governance committees. They may trust a regional MSP more than they trust a hyperscaler’s white paper. If that MSP says Copilot is ready only after permissions reviews and user training, the customer is more likely to listen.
Microsoft therefore needs partners to be more than accelerators. It needs them to be brakes when necessary. The most credible Copilot advisers will not be the ones who sell the most seats fastest, but the ones who can tell a customer which workloads should wait.
Forward-Deployed Engineers Show Microsoft Knows Adoption Is Hard
Microsoft’s creation of what it calls a Frontier Company, with forward-deployed engineers sent into larger enterprises to speed AI deployment, is a revealing move. The phrase evokes the model used by companies that do not merely ship software but embed technical teams close to customer operations. It is a tacit admission that AI adoption is not a simple admin-centre toggle.That should reassure enterprise customers more than another marketing campaign would. If Microsoft believed Copilot could be deployed safely and effectively at scale through licensing alone, it would not need forward-deployed engineers. The company knows the hard part is integration, governance, workflow redesign, data readiness, and organisational change.
It also signals a split in the market. Large enterprises may get direct engineering support, custom architecture, and executive attention. Mid-market and SMB customers will depend more heavily on partners to translate the same principles into smaller budgets and less formal governance structures.
That creates a quality-control problem for the ecosystem. Some partners will build strong Copilot practices around data classification, Purview, Entra ID, SharePoint governance, prompt hygiene, and measurable adoption. Others will treat Copilot as a margin-rich license attach. Customers will need to learn the difference quickly.
For WindowsForum readers who live inside tenant administration, this is the practical hinge. Copilot success will be less about whether Microsoft’s model is clever and more about whether the organisation’s Microsoft 365 estate is coherent enough for AI to act on it without creating surprises.
Copilot’s Rivals May Be Better Loved, but Microsoft May Be Better Placed
There is an odd tension in the AI market. Developers and power users often praise Claude, ChatGPT, Gemini, and specialist coding assistants for quality, speed, or model capability. Yet procurement departments, compliance officers, and CIOs may still prefer Microsoft because the company can wrap AI inside contracts, identity, audit, data protection, and admin tooling they already understand.That does not mean Copilot automatically wins on experience. Microsoft has faced criticism from users who find Copilot uneven, expensive, or less capable than rival assistants in certain tasks. The company’s advantage is not that every Copilot interaction is best-in-class. It is that Microsoft can make AI feel administratively survivable.
Enterprise buyers often choose the product that reduces organisational friction, not the product that wins a model benchmark. If Copilot can be governed through familiar Microsoft controls, purchased through familiar licensing routes, and supported by familiar partners, it becomes the default candidate even when users personally prefer something else.
This is not a small thing. The history of enterprise IT is full of technically superior tools beaten by platforms with better distribution, procurement alignment, and administrative manageability. Microsoft understands that history because it helped write much of it.
The danger for Microsoft is complacency. If Copilot is positioned as inevitable rather than earned, customers will push back. The UK&I channel can soften that by grounding deployments in concrete outcomes rather than platform destiny.
The Real Copilot Project Starts Before the First Prompt
The mature way to deploy Copilot is to treat it as an information governance programme with an AI interface. That sounds less exciting than “AI transformation,” but it is closer to reality. Before users ask Copilot to summarise the company’s knowledge, the company should know what knowledge those users can access.A serious readiness programme should examine SharePoint oversharing, Teams sprawl, guest access, stale groups, retention labels, sensitivity labels, DLP policies, eDiscovery needs, privileged roles, and audit logging. It should also test real use cases with real data and real users, not just canned demos. The lesson from early enterprise AI adoption is that productivity claims are highly context-dependent.
Training matters as much as configuration. Users need to understand that Copilot is not a neutral oracle; it is a probabilistic assistant grounded in the content and permissions available to it. It can summarise confidently, omit context, misunderstand nuance, and surface information that the organisation forgot was broadly available.
Partners can make this less scary by turning it into a phased programme. Start with low-risk departments, measure actual time savings, review security events, tune policies, and expand only when governance keeps pace. A cautious deployment is not anti-AI. It is how enterprise AI becomes boring enough to survive.
Microsoft’s UK&I Moment Will Be Won in the Admin Centre
The concrete story for UK and Ireland customers is that Copilot is now less a speculative AI tool than a governance test for the Microsoft estate. Microsoft has capital, infrastructure plans, regional commitments, and a large partner base. Customers have enthusiasm, fear, and a backlog of data hygiene work.The most important details are practical rather than theatrical.
- Microsoft’s $30 billion UK investment from 2025 to 2028 gives its AI strategy regional weight, but infrastructure spending does not eliminate customer responsibility for governance.
- Microsoft says Microsoft 365 Copilot prompts, responses, and Microsoft Graph data are not used to train foundation models, which directly addresses a major enterprise fear.
- Advanced Data Residency can help eligible customers with storage commitments, but it is conditional and should not be treated as a blanket guarantee for every Copilot-related data flow.
- Copilot respects existing Microsoft 365 permissions, which means poor SharePoint, Teams, and OneDrive hygiene can become an AI-era risk multiplier.
- UK&I partners will shape adoption because most customers need local help translating Microsoft’s commitments into policies, controls, training, and deployment plans.
- The safest Copilot projects will begin with data discovery, permission cleanup, retention planning, and use-case selection before broad user rollout.
References
- Primary source: Channel Insider
Published: 2026-07-06T16:50:13.591431
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