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What’s new in Copilot Studio: July 2025


On this version of our month-to-month roundup, we’re recapping new options launched in Microsoft Copilot Studio in July 2025.

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On this version of our month-to-month roundup, we’re recapping new options launched in Microsoft Copilot Studio in July 2025.

Copilot Studio new options and enhancements

Configure superior pure language understanding natively in Copilot Studio

Pure language understanding (NLU) is what makes conversations in Copilot Studio really feel intuitive, personalised, and fewer robotic. With the brand new NLU+ possibility, makers can now practice high-accuracy fashions straight in Copilot Studio—no exterior companies or additional setup required.

NLU+ is designed for agent purposes with a lot of conversations the place understanding the person’s that means and intent are vital, equivalent to buyer care facilities. You’ll be able to outline a lot of customized matters, entities, and annotated examples to fine-tune how your agent interprets person intent. As a result of NLU+ makes use of a grammar-based mannequin, it delivers predictable, repeatable outcomes that match what you’ve skilled the mannequin on.

You too can lengthen your fashions with synonyms and entity objects to enhance recognition and routing, particularly in advanced or high-volume situations. This even improves speech recognition for voice-enabled brokers. Whether or not you’re supporting customer support, inside operations, or international deployments, NLU+ helps your agent perceive extra and miss much less.

To get began with NLU+, all you want is a Dynamics 365 Contact Middle license. In that atmosphere, head to Settings > Pure Language and choose NLU+ as your orchestration engine. From there, you may add your knowledge, annotate it, practice your mannequin, and check it, all throughout the similar intuitive interface.

Enrich customized brokers in Microsoft Copilot Studio with insights from Material knowledge brokers

Deliver your most trusted knowledge into each dialog with the brand new Microsoft Material knowledge brokers integration in Copilot Studio. Material knowledge brokers are AI assistants that join on to your Microsoft OneLake knowledge, robotically understanding schemas, implementing your governance insurance policies, and deciphering enterprise context to ship well timed, related insights. Somewhat than switching between analytics instruments and chat, makers can now embed these brokers into Copilot Studio and floor that knowledge natively.

A gif showing the process of choosing a Fabric data agent in Copilot Studio

In contrast to normal information grounding, the place brokers fetch static paperwork or search hits, Material knowledge brokers plug straight into your OneLake analytics layer for near-real‑time, ruled solutions. A person may ask a assist agent for final evening’s gross sales developments by area and obtain an up‑to‑the‑minute abstract that respects the group’s sensitivity labels and exhibits precisely the place every quantity got here from.

Behind the scenes, Material knowledge brokers leverage Mannequin Context Protocols, which permit them to collaborate throughout a number of brokers and companies and sew collectively richer, extra full responses. One agent may pull contemporary stock forecasts, whereas one other layers on compliance checks, all in the identical conversational move. This helps assist an ecosystem of clever, linked brokers that make your workflows extra scalable.

By embedding near-real-time analytics, governance, and collaboration, Material knowledge brokers assist your customers speed up innovation, keep knowledge consistency, and make knowledgeable choices—within the Copilot Studio channels the place they already work.

Search and bounce to any factor in your agent

Ever spent a number of minutes trying to find a specific node, instrument, or subject on your brokers? Copilot Studio’s new in‑agent search function places an finish to the scavenger hunt. Merely click on the search icon (or press Ctrl+J/ ⌘+J for a shortcut) and begin typing a element’s title, description, or key phrase.

Whether or not you’re trying to find a selected subject node, customized variable, information supply, message, or connector, the search field shortly surfaces matching objects. You’ll be able to apply filters to slender down search outcomes by sort: instruments, abilities, matters, information sources, and extra. Click on any outcome to leap straight to the configuration web page.

A gif showing how to search for an agent component while creating an agent in Copilot Studio

In-agent search and filtering additionally helps you navigate inside your agent, digging up particular messages, nodes, formulation, or variables. If you see the factor you need, clicking it sends you on to the web page the place you created or used the factor.

This function is particularly useful in advanced agent ecosystems, the place you’ll have dozens of equally named instruments or nodes that may make updates tough or time‑consuming. Now, you’ll spend seconds, not minutes, finding the precise factor you want, liberating you to give attention to refining logic and bettering person experiences. In-agent search is mostly out there worldwide.

Enact finish‑to‑finish knowledge labeling for safe agent interactions

Maintaining delicate knowledge beneath management is crucial—however we consider knowledge safety can go hand in hand together with your AI initiatives. With the brand new Dataverse connector for Microsoft Purview Information Map (now usually out there), you may robotically uncover and catalog your Dataverse tables, fields, and relationships in Microsoft Purview, enriching your knowledge map with metadata and lineage on the click on of a button.

However discovery is just step one. Now in preview, autolabel for Dataverse brings Microsoft Data Safety (MIP) insurance policies on to your knowledge layer. Personally identifiable data (PII), monetary data, and another labeled fields get tagged robotically, so that you not must construct guide labeling workflows or customized scripts.

A gif showing a Dataverse table that has columns autolabeled with their individual confidentiality levels

As soon as your knowledge is labeled, Copilot Studio’s labeled experiences (additionally in preview) assist guarantee your brokers honor these classifications in actual time. Throughout check chats, Groups, or Microsoft 365 Copilot classes, any content material marked delicate by Purview shall be masked or blocked in response to your MIP guidelines. Doing so prevents your brokers from by accident oversharing confidential data.

Automated discovery, classification, and enforcement: collectively, these options contribute to the seamless, coverage‑pushed strategy to knowledge governance Copilot Studio strives to supply. Flip them on immediately and proceed constructing belief—together with your clients and your IT division—with each interplay.

Admin middle enhancements

Handle per‑agent message capability within the Energy Platform admin middle

Unpredictable message consumption may cause shock prices or useful resource constraints if not managed intently. As a part of Microsoft’s complete agent value administration strategy, new per‑agent capability limits within the Energy Platform admin middle (PPAC) allow you to earmark a devoted slice of your pay as you go message pack for particular Copilot Studio brokers.

How does it work? In PPAC, assign a hard and fast share of your pay as you go message pack—both as a proportion or a selected message rely—to every agent. Actual‑time utilization meters on the agent and tenant ranges provide you with clear visibility into consumption developments. This helps you set message budgets, monitor spend, and keep away from shock overages with out constructing customized scripts or exterior studies.

A gif showing how to assign capacity for a specific agent in the Power Platform admin center

This function helps you guarantee your mission-critical brokers, like buyer assist or gross sales assistants, have the capability they want, even throughout peak site visitors instances. If a lower-priority agent hits its restrict, it gracefully switches to your outlined fallback habits. This helps you robotically protect capability on your most necessary workflows, it doesn’t matter what else is occurring throughout your enterprise.

Handle each agent from a single, scalable interface within the Microsoft 365 admin middle

As organizations increase their use of Microsoft 365 Copilot and Copilot Studio, admins want a extra intuitive, all-encompassing instrument to manipulate agent utilization. The brand new Brokers & connectors web page, now usually out there within the Microsoft 365 Admin Middle, delivers precisely that: a centralized dashboard the place you may see all of your brokers at a look, from Microsoft‑constructed and third‑occasion brokers to line‑of‑enterprise and shared customized brokers.

A gif showing the Agents & connectors page in the Microsoft 365 admin center

From this centralized view, admins can filter by metadata equivalent to sensitivity labels, embedded file particulars (equivalent to filename or container ID), or proprietor data. Assign and monitor MIP labels on the agent degree to assist guarantee delicate content material is dealt with accurately and configure connector behaviors to manage how knowledge flows between Copilot and your programs. AI‑powered suggestions floor optimization alternatives, serving to you streamline efficiency and useful resource utilization throughout your total agent ecosystem.

When it’s time to audit or share insights, you may export detailed agent inventories in seconds. The web page additionally highlights orphaned brokers throughout Copilot Studio, the Microsoft 365 Brokers Toolkit, and the embedded agent builder. Then you may simply block or delete any brokers which are not safe or wanted, heading off potential safety and governance points.

As adoption continues to scale, these capabilities assist your group keep in management—decreasing danger, streamlining oversight, and enabling Copilot for use safely and strategically throughout the enterprise.

Quarantine brokers immediately with the Energy Platform API

Belief is foundational to the Copilot Studio person expertise. The brand new agent quarantine API perform provides safety groups another reason to really feel assured. Admins can now programmatically block or unblock any Copilot Studio agent in seconds, isolating it from customers and knowledge whereas a difficulty is investigated.

A gif showing how to turn off a quarantined agent in the Power Platform admin center

This functionality closes a vital governance hole. Earlier than, there was no “large crimson button” to halt a compromised or non-compliant agent, so some organizations restricted agent creation altogether. Now, IT and CISOs can allow innovation whereas sustaining strict management, aligning with incident-response and data-subject-request (DSR) insurance policies throughout ISO, SOC 2, and different compliance frameworks.

The quarantine operation is out there immediately in all areas as a part of the Energy Platform API suite. Merely name the endpoint out of your present admin scripts or safety tooling to position an agent in—or launch it from—quarantine. It’s a light-weight addition that delivers heavyweight peace of thoughts.

Analytics enhancements

Analyze ROI and person suggestions with new analytics options

Studying out of your brokers’ successes (and failures) and your customers’ suggestions is essential in persevering with to develop your agentic ecosystem. That is very true for brokers with higher tasks—those that may autonomously deal with duties for you thru triggers. That’s the reason we’re excited to announce new analytics options, designed that will help you perceive the influence your brokers have on each your enterprise and your finish customers.

With the ROI evaluation function, now you can observe estimated time and value financial savings for every autonomous run or motion. These financial savings are primarily based on the parameters you present while you first arrange the occasion set off. Merely enter your group’s per‑run or per‑motion financial savings (for instance, “5 minutes saved per bill processed” or “$2 value prevented per assist ticket”), and Copilot Studio will calculate cumulative hours and {dollars} saved over time. Shortly drill into particular person agent runs to see which actions ship the best influence, or view combination metrics by agent and date vary.

A gif showing how to calculate the ROI and savings per run of an agent in Copilot Studio

Customers have lengthy been capable of go away a thumbs-up or thumbs-down response to an agent response. Now, response counts pair up with any person feedback in a single view so makers can learn precisely why a response delighted or annoyed somebody. With the ability to entry person feedback means a greater understanding of buyer suggestions. That, in flip, empowers you to establish ache factors, validate enhancements, and constantly refine each your autonomous workflows and conversational experiences.

A gif showing how to see user comments for thumbs up/down reactions in an agent

Keep updated on all issues Copilot Studio 

Try all of the updates stay as we ship them, in addition to new options releasing within the subsequent few months right here: What’s new in Microsoft Copilot Studio.

To be taught extra about Microsoft Copilot Studio and the way it can rework your group’s productiveness, go to the Copilot Studio web site or join our free trial immediately.

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Copilot Studio

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