Enterprise Conversational AI

Copilot Studio vs Dialogflow vs Rasa

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Comparison hero
The short version
Self-hosted
Customer-owned
Native voice
Guided governance
Competitor

Copilot Studio

VS
Competitor

Dialogflow CX

VS
The Alternative

Rasa

At a glance

Three ways to build an AI agent

Platform A logo
Copilot Studio

Founded

2019

HQ

Redmond, Washington

Funding

N/A

Capterra

4.4 / 5.0

Platform B logo
Dialogflow CX

Google’s managed conversational AI platform. Strong fit for teams already on Google Cloud that want visual flows, Playbooks, built-in NLU, text and voice support, and native contact center integrations without owning the runtime.

Founded

2010

HQ

Palo Alto, CA

Funding

~$6M raised

Capterra

4.4 / 5.0

Rasa

The enterprise platform for AI agents: self-hosted, customer-owned, voice-native, with guided governance over high-risk actions.

Founded

2016

HQ

San Francisco / Berlin

Funding

~$70M raised

Capterra

4.7 / 5.0

Top enterprises trust Rasa
Comparison matrix

Where each platform wins

Differentiator
Copilot Studio
Dialogflow CX
Rasa
Verdict
Philosophy and Positioning
Copilot Studio
Dialogflow CX
  • Managed cloud service: Google operates the runtime, models, integrations, scaling, and cloud environment.
  • Flow builder: visual design for explicit, structured conversation control.
  • GCP-native: strongest when the customer already uses Google Cloud, Vertex AI, BigQuery, and Contact Center AI.
  • Playbooks: generative task handlers that can use tools, data stores, flows, and other playbooks.
Rasa
  • The developer platform for enterprise AI agents. Three layers: Framework (Build), Orchestrator (Run), and Studio (Refine).
  • Patented Orchestrator (dialogue manager): orchestrates autonomous reasoning, guided workflows, and shared conversational memory. No hallucinations in your business rules.
  • Cloud-agnostic: runs self-hosted, on-premise, private cloud, or hybrid via Docker and Kubernetes.
  • LLM-agnostic: bring your own model (OpenAI, Anthropic, fine-tuned domain models).
  • Built for regulated enterprises where data sovereignty and voice-digital parity are production requirements.
Verdict
Deep dive

Every dimension, side by side

Dialogue Management and Agent Architecture

Copilot Studio

  • Generative answers blend LLM responses with topic-based flows.
  • Agent Framework (GA 2026) for multi-agent orchestration, with AutoGen migration path.
  • Microsoft Graph for tenant grounding.
  • Direct access to GPT-4 and GPT-5 family models through Azure OpenAI with Microsoft enterprise compliance framework.
  • Topic-based flows with generative answers and confidence-check guardrails.
  • The deterministic-vs-LLM boundary is less architecturally explicit than per-turn skill separation.
  • Compliance teams must validate behavior at the platform-policy level rather than at the per-turn flow level.

Dialogflow CX

  • Dialogflow CX is Google's enterprise conversational AI product with visual state-machine flow design, intents, entities, generative playbooks powered by Gemini 2.5, and native Google Cloud integration.
  • Google's natural language understanding is among the strongest in the category, drawing on decades of Google search and AI research.
  • Stronger out-of-the-box intent accuracy than Copilot Studio for complex multi-turn conversations.
  • Generative playbooks let teams describe agent behavior in natural language and let Gemini handle dynamic response generation.
  • Dialogflow CX's visual flow builder is more sophisticated than Copilot Studio's topic-based flows for complex multi-step conversational state management.
  • 30+ languages with Google-trained NLU models.
  • Generative playbooks are powerful in demos, but raise hallucination, traceability, and reproducibility questions per turn.
  • Compliance teams must validate behavior at the playbook level rather than at the per-turn deterministic flow level.

RASA

  • Rasa has three platform layers: Framework (Build), Orchestrator (Run), and Studio (Refine).
  • Rasa's patented Orchestrator (dialogue manager) orchestrates autonomous reasoning, guided workflows, and shared conversational memory.
  • The Orchestrator selects which skill to activate, routes into and out of skills, and manages conversation state across every turn.
  • For regulated production where specific paths must run deterministically (KYC, claims intake, account closure, healthcare triage, prescription refills), the boundary between deterministic flows and LLM-driven turns is explicit and auditable per turn, not blurred inside a Copilot Studio agent flow abstraction or a Dialogflow generative playbook.
  • Guided skills control high-stakes actions programmatically. Prompt-driven skills handle open-ended interactions where flexibility is valuable.
  • No hallucinations in your business rules.
  • Rasa's multi-agent orchestration maintains shared state, clean handoffs, and unified memory across voice and digital channels.
  • A customer starts in chat, switches to voice, and picks up exactly where they left off.
  • Composable, reusable skills, each a productized unit of capability that carries the boundaries the business cares about, work across agents and channels.
  • Rasa Voice extends the same orchestration to voice with built-in Voice Stream connectors for Twilio Media Streams, AudioCodes, Genesys Cloud, and Jambonz.

Deployment and Data Sovereignty

Where the agent runs, which cloud it requires, and whether your data ever leaves it.

Copilot Studio

  • Microsoft cloud only. Azure subscription required. No on-premises or air-gapped deployment model.
  • For regulated industries with sovereign cloud or sector-specific data residency mandates that Microsoft cloud cannot meet, this is a hard disqualifier.
  • Dataverse, Power Automate, Microsoft Graph, Microsoft Entra, and Azure are not optional for production deployments.
  • Migration off Microsoft Copilot Studio is a re-platform, not a configuration export.
  • Voice agents require Azure Speech Services + generative response + TTS + Dynamics 365 Contact Center or third-party telephony as separate services. Each hop adds latency.
  • Setup time: hours for simple bots within Microsoft tenants, weeks to months for production agents with custom integrations and governance configuration.

Dialogflow CX

  • Google Cloud only. Vertex AI Search, Cloud Storage, and Google Speech services as hard dependencies.
  • No first-class on-premises or air-gapped deployment model and no credible self-hosted path.
  • For regulated industries with data sovereignty mandates this is a hard disqualifier.
  • A production Dialogflow deployment pulls in Vertex AI Search for grounding, Cloud Storage for data stores, Speech-to-Text and Text-to-Speech for voice, IAM and VPC for access control, and Cloud Logging for observability.
  • The conversation logic does not move without the surrounding GCP estate.
  • Voice deployments stitch Speech-to-Text + NLU/playbook routing + generative response + Text-to-Speech + telephony as separate services. Each hop adds latency.
  • Setup time: days for basic text bots, weeks to months for production voice deployments with CCAI integration and complex generative playbooks.

RASA

  • Self-hosted in your environment from day one.
  • On-premises, private cloud, and air-gapped deployment options. Cloud deployment also available.
  • Rasa does not host any customer data, systems, or applications.
  • No Azure subscription required. No Google Cloud subscription required.
  • The only enterprise platform of the three with first-class self-hosted deployment.
  • Voice Stream connectors for Twilio Media Streams, AudioCodes, Genesys Cloud, and Jambonz with pluggable ASR and TTS providers.
  • Initial deployment timeline: 8-20 weeks for production agent, including integrations and governance configuration.
  • Swisscom went from prototype to production in 20 weeks, doubling automation rates and cutting operational costs by 50 percent.

Governance, Security and Compliance

Copilot Studio

  • Inherits Azure compliance certifications (SOC 2, ISO 27001, HIPAA, FedRAMP) and Microsoft Purview integration for data governance.
  • Microsoft Entra for identity.
  • Topic-based flows with generative answers and confidence-check guardrails.
  • The deterministic-vs-LLM boundary is less architecturally explicit than per-turn skill separation.
  • Compliance teams must validate behavior at the platform-policy level rather than at the per-turn flow level.
  • There is no first-class on-premises or air-gapped deployment model. For regulated industries with sovereign cloud or sector-specific data residency mandates that Microsoft cloud cannot meet, this is a hard disqualifier.

Dialogflow CX

  • IAM and VPC for access control, and Cloud Logging for observability.
  • Generative playbooks are powerful in demos, but raise hallucination, traceability, and reproducibility questions per turn.
  • Compliance teams must validate behavior at the playbook level rather than at the per-turn deterministic flow level.
  • Google Cloud only with no on-premises option. For regulated industries with data sovereignty mandates this is a hard disqualifier.
  • Strong adoption across Google Cloud-committed enterprises in retail, financial services, and customer service.

RASA

  • The patented Orchestrator separates guided skills from prompt-driven skills with the deterministic-vs-LLM boundary explicit and auditable per turn.
  • Copilot Studio uses platform policies on topic flows. Dialogflow uses generative playbooks with confidence thresholds. Neither approach is as architecturally explicit as Rasa's per-turn skill separation.
  • Rasa does not host any customer data, systems, or applications.
  • On-premises, private cloud, and air-gapped deployment options.
  • The only enterprise platform of the three with first-class self-hosted deployment.
  • Deutsche Telekom, Autodesk, Swisscom, and Groupe IMA run Rasa in production across voice and digital channels in regulated industries.
  • Groupe IMA: Production conversational AI in regulated French insurance market.
  • Named a Strong Performer in The Forrester Wave: Conversational AI Platforms For Customer Service, Q2 2026.

Integrations and Ecosystem

What the platform connects to, and what it pulls in with it.

Copilot Studio

  • Native: Microsoft 365 (Teams, SharePoint, Outlook), Dynamics 365, Power Platform (Power Automate, Power Apps, Dataverse), Microsoft Graph, Microsoft Entra, Azure OpenAI, Azure Speech Services, Azure Communication Services.
  • Native Teams, SharePoint, Dynamics 365, and Microsoft Graph integration. The strongest fit among the three for Microsoft-committed enterprises.
  • Pre-built connectors for major SaaS applications via Power Automate.
  • Custom connectors via Power Platform Custom Connectors framework.
  • Dataverse, Power Automate, Microsoft Graph, Microsoft Entra, and Azure are not optional for production deployments.
  • Migration off Microsoft Copilot Studio is a re-platform, not a configuration export.

Dialogflow CX

  • Native: Vertex AI Search, Cloud Storage, BigQuery, Firestore, Speech-to-Text, Text-to-Speech, IAM, VPC, Cloud Logging, Contact Center AI (CCAI), Gemini Enterprise Agent Platform.
  • Pre-built integrations for major messaging channels (Web, mobile, Twilio, Facebook Messenger). REST APIs for custom integrations.
  • Contact Center AI provides native voice infrastructure for Google Cloud-deployed contact centers. The same stack powers Wendy's FreshAI drive-thru deployment.
  • A production Dialogflow deployment pulls in Vertex AI Search for grounding, Cloud Storage for data stores, Speech-to-Text and Text-to-Speech for voice, IAM and VPC for access control, and Cloud Logging for observability.
  • The conversation logic does not move without the surrounding GCP estate.

RASA

  • Native MCP server integration (beta), A2A (Agent-to-Agent) protocol (beta), custom Action Server.
  • Voice channel connectors for Twilio Voice, Twilio Media Streams, Jambonz, Jambonz Stream, AudioCodes VoiceAI Connect, AudioCodes Voice Stream, and Genesys Cloud.
  • Backend integrations through Action Server custom actions and MCP server connectivity for CRM, ERP, ticketing, and contact center systems.
  • Choose your own ASR (Deepgram, Azure) and TTS (Cartesia, Deepgram, Azure, Rime) providers.
  • Pluggable LLM, ASR, NLU, and TTS providers. Copilot Studio binds you to Azure OpenAI. Dialogflow binds you to Gemini. Rasa lets you switch providers freely or run multiple in parallel.
  • No Dataverse, Power Automate, Microsoft Graph, or Vertex AI Search hard dependencies.
  • Less out-of-the-box Microsoft 365 or Google Cloud integration. Rasa connects to Microsoft 365 and Google Cloud services through Action Server, MCP server integration, and custom integrations.

Pricing and Total Cost of Ownership

Copilot Studio

  • $200/tenant/month for 25,000 Copilot Credits, plus pay-as-you-go credits at variable rates by activity type.
  • A complex prompt with tenant graph grounding can consume around 12 Copilot Credits.
  • Classic answers, generative answers, agent actions, prompt tools, agent flow actions, and computer-using agents each bill at different rates.
  • M365 Copilot license at $30/user/month for many premium features (Microsoft Graph tenant grounding for employee-facing agents, agent capabilities in Copilot Chat).
  • Azure subscription required for production.
  • Enterprise custom pricing available for higher volumes.
  • Three-year TCO scales with Copilot Credit consumption, M365 Copilot license penetration, and Azure usage simultaneously, three independent cost curves to forecast.

Dialogflow CX

  • Per-request charges for generative requests, per-1,000-event charges for stored sessions and memories (effective January 2026), per-query Vertex AI Search charges, plus $5 per GiB beyond the free 10 GiB monthly quota for data store storage.
  • Underlying GCP compute, storage, and Speech services bill separately.
  • New users receive $600 credit for Flows and $1,000 for Playbooks, valid for 12 months.
  • Pay-as-you-go pricing for text is more transparent than Copilot Studio's Copilot Credits + tenant + M365 license stack. Predictable for known volumes.
  • Three-year TCO scales with text request volume, session count, and Vertex AI Search query volume.
  • Three-year TCO modeling requires per-component monitoring.

RASA

  • Developer Edition (Free): Full access to Rasa. One bot per company, up to 1,000 external conversations/month (100 for internal agents).
  • Enterprise (Custom): Premium support, dedicated CSM, advanced security features, custom onboarding, Rasa Studio for refining design and review.
  • Pricing is based on annual conversation volume, not per-Copilot-Credit, per-request, per-event, or per-query consumption.
  • No Microsoft 365 Copilot license at $30/user/month. No Azure subscription. No Google Cloud consumption baseline.
  • Total platform cost is the Rasa Enterprise license plus chosen infrastructure.
  • Three-year TCO scales linearly with conversation volume, no per-token surprises. No per-voice-minute charges separate from platform license.
  • Infrastructure costs depend on chosen ASR, TTS, and LLM providers, all of which are pluggable.
  • For enterprises modeling three-year TCO across tens of millions of voice and chat interactions, Rasa's annual conversation-volume model is the most predictable.
Verdict

Which one fits your team

CHOOSE

Copilot Studio

  • Your enterprise is already standardized on Microsoft 365, Power Platform, and Azure with M365 Copilot licenses deployed.
  • The dominant use case is internal employee help desk, M365 Copilot Chat agents, Teams bots, or SharePoint-grounded knowledge agents.
  • Citizen-developer maker tooling for non-technical contributors is the priority over engineering-led authoring.
  • Microsoft tenant lock-in (Dataverse, Power Automate, Microsoft Graph, Microsoft Entra, Azure) is an acceptable architectural commitment.
  • Copilot Credits multi-rate billing plus M365 Copilot license dependency at $30/user/mo fits the procurement model.
  • Microsoft cloud delivery (no on-premises requirement) is acceptable.
  • Azure OpenAI (GPT-4/5 family) is the strategic LLM choice.
CHOOSE

Dialogflow CX

  • Your enterprise is on Google Cloud with Vertex AI Search, BigQuery, and Google Speech services already deployed.
  • Gemini is the strategic LLM family for generative AI.
  • Contact center voice on Google CCAI is the dominant use case (Wendy's FreshAI is a credible peer reference).
  • Mature NLU and multilingual support across 30+ languages matter more than low-code authoring.
  • Google Cloud lock-in (Vertex AI Search, Cloud Storage, Speech services) is an acceptable architectural commitment.
  • Per-request + per-event + per-query Vertex AI Search consumption model fits the procurement model.
  • Recurring platform-generation migration (ES to CX to Conversational Agents to Gemini Enterprise Agent Platform) is an acceptable risk.
CHOOSE

Rasa

  • Self-hosted, on-premises, or air-gapped deployment is non-negotiable for regulated data (BFSI, healthcare, government, telco).
  • Hyperscaler independence matters more than deep Microsoft 365 or Google Cloud native integration.
  • Full platform ownership and code-as-source-of-truth authoring with Git, CI/CD, unit tests, and code review are engineering's discipline.
  • Architectural governance over agent behavior with per-turn auditability of the deterministic-vs-LLM boundary is required for compliance review.
  • Native voice and chat orchestration from one layer (no stitched Azure Speech or Google Speech pipelines) is needed.
  • Predictable annual conversation-volume licensing decoupled from Copilot Credits, Vertex AI Search per-query charges, or upstream M365 Copilot licensing matters.
  • Pluggable LLM, ASR, NLU, and TTS providers across the voice stack are needed.
  • Forrester Wave Strong Performer 2026 analyst positioning is a credible procurement signal.

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How we built this comparison

Our methodology

This comparison draws on user reviews from G2, Capterra, TrustRadius, and GetApp, combined with vendor documentation, published pricing, and enterprise buyer interviews. We review product documentation, pricing pages, and feature releases directly, and cross-reference reviews for real-world deployment patterns and common friction points, with a focus on regulated industries (banking, healthcare, telco, insurance) where deployment flexibility and governance architecture are hard gates. Conflict of interest disclosure: This comparison is published on Rasa's website. Rasa is a commercial conversational AI platform and stands to benefit from enterprises choosing its platform. We address this by (1) publishing genuine competitor strengths, (2) using factual vendor documentation as primary evidence, and (3) maintaining a monthly review cadence. This page is reviewed monthly. Last comprehensive review: July 2026.

Common questions

Frequently asked questions

Copilot Studio vs Dialogflow vs Rasa: which is best for enterprise AI agents?

Best depends on the hyperscaler commitment and deployment requirement. 

Copilot Studio is best for Microsoft 365 + Azure-committed enterprises with M365 Copilot licenses deployed. 

Dialogflow is best for Google Cloud-committed enterprises with Vertex AI Search and CCAI in the stack. 

Rasa is best for hyperscaler-independent enterprise deployment with self-hosted, on-premises, or air-gapped requirements and architectural governance over agent behavior.

Is Copilot Studio better than Dialogflow for enterprise conversational AI?

Better depends on the existing hyperscaler stack.Copilot Studio has stronger Microsoft 365 integration, citizen-developer maker tooling, and Azure OpenAI native LLM access.Dialogflow has stronger NLU accuracy, more sophisticated visual flow building for complex multi-turn conversations, Gemini 2.5 generative playbooks, and CCAI native telephony.Microsoft-committed enterprises typically choose Copilot Studio. Google Cloud-committed enterprises typically choose Dialogflow.

Why would I choose Rasa over Copilot Studio or Dialogflow?

Choose Rasa when:Self-hosted deployment is required (Copilot Studio is Microsoft cloud only, Dialogflow is Google Cloud only).Hyperscaler independence matters more than ecosystem integration.Architectural governance over agent behavior with per-turn auditability is needed for compliance.Predictable annual conversation-volume licensing matters more than multi-component consumption pricing.Native voice and chat orchestration from one layer is needed (both Copilot Studio and Dialogflow stitch voice across multiple cloud services).Forrester Wave Strong Performer 2026 analyst positioning satisfies the procurement signal.

Does Copilot Studio or Dialogflow support on-premises deployment?

No. Microsoft Copilot Studio runs on Microsoft's cloud with Azure subscription required.Google Dialogflow runs on Google Cloud with Vertex AI Search, Cloud Storage, and Google Speech services as hard dependencies.Neither offers first-class on-premises or air-gapped deployment.For regulated industries (BFSI, healthcare, government, telco) with data sovereignty mandates that cloud-only platforms cannot meet, Rasa is the alternative with self-hosted, on-premises, and air-gapped deployment as a first-class option.

How do Copilot Studio Copilot Credits compare to Dialogflow per-request pricing?

Both are multi-component consumption models that scale unpredictably with conversation volume.Copilot Studio charges $200/tenant/month for 25,000 Copilot Credits plus pay-as-you-go credits at variable rates by activity type (a complex prompt with tenant graph grounding can consume ~12 credits), plus M365 Copilot license at $30/user/month for many features, plus Azure subscription consumption.Dialogflow charges per-request for generative requests, per-1,000-event for session storage (effective January 2026), per-query for Vertex AI Search, plus $5/GiB beyond the 10 GiB monthly free data store storage quota.Rasa uses annual conversation-volume licensing decoupled from per-conversation or per-token consumption.

Which has better voice capability: Copilot Studio, Dialogflow, or Rasa?

Rasa is the only one of the three with native voice and chat orchestration from one layer.Rasa Voice ships built-in Voice Stream connectors for Twilio Media Streams, AudioCodes, Genesys Cloud, and Jambonz with pluggable ASR (Deepgram, Azure) and TTS (Cartesia, Deepgram, Azure, Rime) providers.Copilot Studio stitches Azure Speech Services + generative response + TTS + Dynamics 365 Contact Center or third-party telephony as separate services.Dialogflow stitches Speech-to-Text + playbook routing + Text-to-Speech + telephony (CCAI or third-party) similarly. Each hop adds latency.For high-volume contact center voice, native voice architectures (Rasa, Cognigy) materially outperform stitched hyperscaler voice pipelines.

Is the Microsoft 365 Copilot license required to use Copilot Studio?

Copilot Studio is technically a standalone tenant license at $200/tenant/month for 25,000 Copilot Credits.However, many production features (Microsoft Graph tenant grounding for employee-facing agents, agent capabilities in Copilot Chat, Teams, and SharePoint) are zero-rated only when the end user holds a Microsoft 365 Copilot license at $30/user/month.For external-facing agents and tenant pay-as-you-go, an M365 Copilot license is not required, but Copilot Credits consume at higher effective rates.The effective TCO depends on which users hit the agent and which features the agent uses.

What is the Gemini Enterprise Agent Platform, and how does it relate to Dialogflow?

At Cloud Next 2026, Google rebranded the broader stack to the Gemini Enterprise Agent Platform.The Conversational Agents console consolidates Dialogflow CX and Vertex AI Agent Builder under one authoring surface. Dialogflow CX continues to operate as the conversational agent product within that umbrella, but new investment and product capabilities live in the consolidated experience.Enterprises signing multi-year Dialogflow contracts should evaluate where their investment will land across the next two platform generations.

Can I migrate from Copilot Studio or Dialogflow to Rasa?

Yes. Both migrations follow a three-phase pattern:(1) Export existing artifacts (Copilot Studio topics, agent flows, Power Automate connectors, Dataverse data; Dialogflow intents, entities, flows, playbooks, fulfillment webhooks).(2) Map each artifact to Rasa's primitives (guided skills for deterministic flows, prompt-driven skills for open-ended turns, Action Server for connector and webhook equivalents).(3) Run both platforms in parallel on a single agent during the proof of value window before cutting over.Expect a staged 3-6 month migration for a single production agent.Enterprises typically migrate to recover ownership, eliminate hyperscaler lock-in, deploy on-premises, or consolidate AI agent TCO under predictable conversation-volume licensing.

Which is best for regulated industries (BFSI, healthcare, government)?

Rasa is the strongest fit for regulated industries with self-hosted, on-premises, and air-gapped deployment as a first-class option, the patented Orchestrator for architectural governance over agent behavior, and conversation-level audit trails. Rasa does not host any customer data, systems, or applications.Copilot Studio inherits Azure compliance certifications (SOC 2, ISO 27001, HIPAA, FedRAMP) but cannot meet sovereign-cloud or air-gapped mandates that prohibit Microsoft cloud delivery.Dialogflow inherits Google Cloud certifications, but cannot meet mandates that prohibit Google Cloud delivery.

Which has the best NLU: Copilot Studio, Dialogflow, or Rasa?

Dialogflow has the strongest out-of-the-box NLU accuracy among the three, drawing on Google's natural language research and Gemini 2.5 integration.Copilot Studio uses Azure OpenAI models for generative answers with topic-based flows for structured conversations.Rasa's NLU pipeline is pluggable: teams can use Rasa's open-source NLU components or integrate any LLM (OpenAI, Anthropic, Google, custom) for intent recognition and response generation.The right NLU choice depends on whether out-of-the-box accuracy or pluggability matters more.

Which platform has the best multi-channel support?

Rasa has the strongest native multi-channel architecture with voice and chat sharing the same orchestration layer, conversation state, and skill library. Voice Stream connectors for Twilio Media Streams, AudioCodes, Genesys Cloud, and Jambonz from the same platform that handles chat.Copilot Studio is strongest inside the Microsoft 365 estate (Teams, SharePoint, Copilot Chat) with external channels via Power Platform connectors.Dialogflow supports web, mobile, telephony (CCAI), and major messaging channels with channel-specific configuration.

Are there free tiers for Copilot Studio, Dialogflow, or Rasa?

Rasa offers a free Developer Edition with full platform access for up to 1,000 external conversations per month (100 for internal agents).Dialogflow offers a pay-as-you-go free tier for text requests within usage limits, plus $600 credit for Flows and $1,000 for Playbooks for new users, valid 12 months.Copilot Studio does not offer a comparable free tier; entry-level access starts with the $200/tenant/month plan plus Copilot Credits consumption.

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