Key Takeaways
- Copilot in Power Apps generates Dataverse table structures, app screens, and form layouts from natural language descriptions — giving makers a starting point in minutes rather than hours.
- Copilot in Power Automate translates plain-English process descriptions into flow logic — reducing the time to build common automation patterns from hours to minutes for experienced users.
- Copilot in Power BI generates report pages, suggests relevant visualisations, and writes Smart Narrative summaries from plain-language prompts — accelerating dashboard delivery for Ontario analytics teams.
- Copilot features in Power Platform require Microsoft 365 Copilot or specific Power Platform licences; Ontario businesses should audit their licence footprint before assuming availability.
In February 2023, Microsoft announced Copilot — its GPT-4-powered AI assistant — across its product suite, with Power Platform among the first to receive deep integration. The announcement was significant: Microsoft wasn't adding a chatbot to the side of its platform, but embedding AI generation directly into the core creation experience of Power Apps, Power Automate, and Power BI. For Ontario businesses, this marks the clearest signal yet that the technical barrier to using Power Platform is about to drop substantially. The practical implication: building a basic Power App to collect and track employee equipment requests — which previously required an experienced maker spending several hours on data modelling, screen design, and formula writing — is becoming something a business analyst can initiate with a text description and refine in an afternoon. This doesn't eliminate the need for experienced consultants on complex implementations, but it changes the starting point for a wide category of mid-complexity solutions. Ontario teams that understand what to ask for will be able to act more independently.
Definition: Large Language Model (LLM) and Copilot
A large language model (LLM) is a type of AI trained on vast amounts of text data to understand and generate human language. Microsoft Copilot uses GPT-4 — OpenAI's most capable model as of early 2023, in which Microsoft has a significant investment — as its underlying LLM, combined with Microsoft's own grounding techniques that connect the model to specific application contexts. When Copilot generates a Power Automate flow from a description, it's not retrieving a pre-built template — it's generating the flow structure based on its understanding of the description, Power Automate's connector capabilities, and patterns from training data. The output requires human review and often adjustment, but it reduces the cold-start problem of building from a blank canvas.
Copilot in Power Apps: Building Apps by Describing What You Need
Power Apps Copilot generates Dataverse table structures and app interfaces from natural language descriptions — letting Ontario makers start with an AI-generated foundation rather than a blank canvas.
The Power Apps Copilot experience begins at the creation screen: instead of choosing between canvas app, model-driven app, or starting from a template, a maker types a description — 'I need an app for our service technicians to log maintenance visits, capture the customer name, equipment serviced, work completed, and take photos.' Copilot generates a Dataverse table with appropriate columns, a mobile-optimised canvas app with screens for creating new records, viewing existing ones, and capturing photos — in under a minute.
This generated starting point isn't production-ready — it needs refinement, real data connections, security configuration, and testing. But it replaces the most time-consuming part of app development for many Ontario makers: the initial data modeling and screen layout decisions. Rather than spending the first two hours deciding on table structure and laying out a form from scratch, makers can react to and refine a starting point, which is a fundamentally faster creative workflow.
Copilot also assists experienced makers during development through natural language commands: 'add a button that submits this form and sends a Teams notification to the manager' or 'create a gallery that filters records by the current user' can be executed as Copilot instructions rather than requiring the maker to write Power Fx formulas manually. This in-context assistance is where experienced Ontario Power Platform practitioners are finding the most immediate productivity gain — not in replacing their expertise, but in reducing the formula-writing overhead for common patterns.
Copilot in Power Automate: Describing Flows Instead of Building Them
Power Automate Copilot generates flow structures from plain-English descriptions of the process to automate — accelerating the initial build for both new users and experienced flow makers.
Power Automate Copilot is accessible from the flow creation screen. A maker types a description of the process: 'When a new row is added to a SharePoint list, send an approval request to the manager listed in the row. If approved, update the row status and send a confirmation email to the submitter. If rejected, notify the submitter with the manager's comments.' Copilot generates a multi-step flow with the appropriate trigger, approval action, conditional branches, and email steps — a flow that would take an experienced maker 30–45 minutes to build from scratch can be generated as a starting point in under a minute.
The generated flows are accurate for common patterns with standard connectors, and require review and connector authentication before they run. Ontario users who understand what Power Automate can do get the most value — they can write precise descriptions that produce useful starting points and quickly identify where the generated flow needs adjustment. Users who don't know Power Automate's connector model may find that generated flows reference capabilities they don't have licenced or connectors they haven't set up.
For Ontario businesses using Power Automate Copilot in production workflows, the governance implication is important: AI-generated flows should go through the same review, testing, and documentation process as manually built flows. A flow that moves data between systems or sends external communications needs validation regardless of whether a human or an AI wrote the initial logic. Microsoft's Power Platform admin centre provides tools for flow governance — DLP policies, environment controls, and audit logging — that apply equally to Copilot-generated and hand-built flows.
AI Governance for Power Platform Copilot in Ontario Organisations
Ontario organisations adopting Copilot in Power Platform need policies covering data residency, generated content review, and who can use AI-assisted creation in production environments.
Microsoft's Copilot features in Power Platform process inputs through Azure OpenAI Service, which Microsoft has configured with data residency in compliance with its commercial data protection commitments. For Ontario organisations subject to PIPEDA, Ontario privacy legislation, or sector-specific regulations (healthcare, financial services), the key due diligence points are: understanding what data is sent to the AI service (natural language prompts, not actual business data in standard Power Platform Copilot scenarios), Microsoft's data processing commitments, and whether the organisation's policies permit AI-assisted development tooling.
The more operationally critical governance question for Ontario IT leaders is: who can use Copilot-generated solutions, and what review is required before deployment? An AI-generated Power Automate flow that sends emails to external parties, modifies records in Dynamics 365, or accesses sensitive employee data needs the same review as any production flow — the fact that it was AI-generated doesn't reduce the requirement for human review and testing. Establishing a clear expectation that Copilot output is a starting point subject to normal review, not a finished product, prevents governance gaps.
Microsoft is actively developing Copilot governance tools within the Power Platform admin centre — including the ability to enable or disable Copilot features by environment, allowing Ontario IT administrators to restrict AI-assisted creation to non-production environments while policies mature. Ontario organisations adopting Power Platform Copilot should work with their IT and compliance teams to define appropriate policies before broad rollout, rather than after an incident prompts a reactive policy.
Experience Signal
We've been running Copilot in Power Platform in preview for client work since early 2023. The clearest productivity gain is in the first hour of a new app or flow project — generating a starting point that we then refine takes less time than building from scratch. The quality of the Copilot output is directly proportional to the quality of the description: vague prompts produce vague starting points; well-structured descriptions with specific data fields, named connectors, and described business logic produce genuinely useful scaffolding. The Ontario teams that are getting the most value are those who invested in understanding Power Platform well enough to write precise requirements — they're now able to act on those requirements faster. Copilot doesn't replace that foundational knowledge; it rewards it.
Frequently Asked Questions
Microsoft Copilot is an AI assistant built on large language models (primarily GPT-4, developed in partnership with OpenAI) that is embedded directly into Microsoft products. In Power Platform, Copilot allows users to describe what they want in natural language — 'I need an app to track employee equipment requests' — and receive an AI-generated starting point: a data table structure, an app interface, suggested fields, and initial screens. The user then refines this starting point through further natural language prompts and manual adjustments. Copilot doesn't replace the need for understanding Power Platform; it lowers the initial barrier and accelerates the starting point for both new builders and experienced developers.
Microsoft Copilot features in Power Platform are rolling out progressively through 2023. As of Q1 2023, Copilot in Power Apps is available in preview for English-language tenants in the United States, with Canadian availability expected to follow within months. Power Automate Copilot for describing and building flows in natural language is in preview. Power BI Copilot for report generation and data summary is in preview for Power BI Premium workspaces. Ontario businesses can enable preview features through the Power Platform admin centre; production-ready availability for all Copilot features is expected across 2023.
Copilot accelerates development but doesn't replace experienced Power Platform practitioners — for the same reason that GitHub Copilot accelerates software developers without making them redundant. Copilot generates starting points that still require validation, refinement, security configuration, integration with real business data, user acceptance testing, and deployment. Complex Power Platform solutions involving Dataverse data modeling, custom connectors, enterprise security policies, and integration with Dynamics 365 continue to require experienced consultants. What Copilot does is reduce the time spent on initial scaffolding — generating the first version of a flow or app faster — allowing consultants to focus on the design decisions and business logic that require domain expertise.
Sources
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Book a Copilot Readiness AssessmentAbout the author
Bhawanjeet Kaur
Senior Microsoft Consultant
Bhawanjeet specializes in Microsoft Power Platform and Dynamics 365 implementation, helping businesses modernize operations through intelligent automation, custom business applications, and connected data infrastructure. She holds multiple Microsoft certifications and has led enterprise digital transformation projects across manufacturing, professional services, and healthcare organizations. She writes about Power Platform, Dynamics 365, and practical AI integration for businesses.
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