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If you are itching to step into the world of AI Agents to help improve your company's efficiency and output, here are 7 platforms that offer AI Agents. We have compiled what the platform does, what the AI Agents are used for and their pricing model in this list below.
1. Microsoft Copilot Studio
Microsoft Copilot Studio is a low-code platform for creating and managing AI agents. It is particularly suitable for organisations that already use Microsoft 365, Teams, Dynamics 365, Dataverse, or Power Platform.
Businesses can use Copilot Studio to create:
- An HR agent that answers policy questions.
- An IT agent that helps employees troubleshoot common issues.
- A sales agent that summarises account information.
- A customer-service agent connected to business workflows.
Pricing model: Based mainly on tenant-wide Copilot Credits, rather than charging every person who interacts with an agent. Microsoft lists a capacity pack of 25,000 credits at US$200 per month, with pay-as-you-go billing also available.
Copilot studio works well for companies with many employees using a shared set of internal agents, and if your company uses many apps within the Microsoft ecosystem. However, businesses should estimate usage carefully because costs can increase as agents handle more complex prompts, actions, and workflows.
2. Salesforce Agentforce
Salesforce Agentforce is designed for businesses that want agents to work directly with CRM records within the Salesforce platform, customer data, sales processes, service cases, and Data Cloud information.
Typical use cases include:
- Answering customer questions.
- Updating CRM records.
- Summarising sales opportunities.
- Recommending next steps to sales representatives.
Pricing model: Salesforce offers several pricing approaches. Flex Credits cost US$500 per 100,000 credits, and Salesforce states that one Agentforce action consumes 20 credits, equivalent to approximately US$0.10 per action. A conversation-based option is listed at US$2 per conversation, while some user-based Agentforce options start at US$125 per user per month
Agentforce may be a strong fit for businesses deeply invested in Salesforce. The trade-off is that the overall cost can include the existing Salesforce subscription, implementation, data preparation, integrations, and agent consumption.
3. Google Vertex AI Agent Builder
Google Vertex AI Agent Builder is aimed at organisations that want to build custom agents rather than simply activate a preconfigured customer-service tool.
It can support applications such as:
- Internal knowledge assistants.
- Research and analysis agents.
- Customer-facing virtual assistants.
- Agents that search company documents.
Pricing model: Google uses a usage-based model. The total cost can include model input and output tokens, Agent Engine compute, memory, sessions, storage, and tools. Google’s published Agent Engine figures include US$0.00994 per vCPU-hour and US$0.0105 per GiB-hour, while model usage is charged according to the selected model.
4. HubSpot Agent Hub
HubSpot’s centralized workspace for managing AI agents across marketing, sales, and customer service. Teams can activate existing agents, monitor their activity and outcomes, adjust configurations, and build custom agents through Agent Builder. Unlike a standalone AI assistant, these agents work inside HubSpot and use CRM records, customer interactions, company information, deal data, tickets, documents, and other business context to complete tasks.
The main agents include:
- Customer Agent: Handles customer questions, provides answers from approved knowledge sources, and resolves routine support conversations.
- Prospecting Agent: Researches companies and contacts, identifies buying signals, recommends leads, and supports personalized sales outreach.
- Data Agent: Answers questions about CRM records, researches companies and contacts, and automates data-enrichment or smart-property tasks.
- Agent Builder: Allows teams to create custom agents for organization-specific processes using prompts, CRM data, internal knowledge, and workflow triggers.
Pricing model: HubSpot's AI Agents are charged according to completed actions. You may purchase HubSpot credits at $0.010 per credit, or $10 per 1,000 credits. Its pricing pages also show an annual-payment rate of $9 per 1,000 credits.
5.IBM watsonx Orchestrate
IBM watsonx Orchestrate focuses on enterprise workflow automation and agent orchestration. It is intended for enterprise-level organisations that need agents to work across business applications while maintaining centralised governance.
Potential use cases include:
- Employee support.
- HR processes.
- Procurement workflows.
- Sales operations.
- IT service management.
- Coordinating agents built on different platforms.
Pricing model: IBM lists watsonx Orchestrate Essentials tier from US$530 per month, as they also provide Standard tier (USD7314 per month), and Premium tier packages. In addition you may opt to purchase using cloud credits from Amazon.
How to select a platform
Businesses should evaluate more than the headline AI-agent price.
Before choosing a platform, assess:
- Business use case: Is the agent for customer support, sales, employee help, research, or workflow automation?
- Existing technology stack: A HubSpot customer may benefit from Breeze, while a Salesforce customer may prefer Agentforce.
- Data access: Can the agent securely access the CRM, knowledge base, files, and business applications it needs?
- Cost predictability: Compare expected monthly usage, not just the starting price.
- Governance: Review permissions, audit logs, approval controls, data retention, and model-training policies.
- Implementation effort: A ready-made support agent may launch quickly, while a custom cloud agent may require developers, data engineers, and ongoing maintenance.
Conclusion
Choosing an AI agent platform is ultimately about finding the right balance between capability, control, integration, and cost. The best platform is not necessarily the one with the longest feature list, but the one that fits naturally into your existing systems, supports your most important workflows, and delivers measurable value without creating unnecessary complexity.
Before making a decision, evaluate how well each platform connects with your current tools, how transparently it charges for usage, and whether it can scale as your needs grow. A solution that performs one task exceptionally well may be more valuable than a broad platform with features your team will rarely use.
