An employee asks for access to a finance app. A useful agent reads the request in Slack, checks the person’s role in the HR system, asks their manager to approve, grants the licence in the identity provider and closes the ticket. Every agent builder below can build the first step. What separates them is who builds the rest, and how the agent reaches those other systems.
The short answer. If your agents will work inside one suite, start with that suite’s builder: Copilot Studio for Microsoft 365, Agentforce for Salesforce, Gemini Enterprise for Google Workspace, ServiceNow AI Agent Studio for IT and employee service. If your agents have to act across many systems, choose an integration platform with an agent builder: Tray.ai, Workato, Zapier or n8n. If your developers want to write agents in code, look at CrewAI or Amazon Bedrock AgentCore.
We make Tray.ai, so read our entry with that in mind. Every claim about another product comes from that vendor’s own pages, read on 4 November 2026, and each one gets a “best for” we would stand behind.
AI agent builders at a glance
| Builder | How you build | How agents act on systems | Pricing | Best for |
|---|---|---|---|---|
| Integration platforms with agent builders | ||||
| Tray.ai | No-code visual builder, code steps where needed | The same connectors and workflows as your integrations, 5,000+ apps, databases, APIs, and services | Helix Builder Edition from $50 a month plus Helix Compute Units (HCUs) · iPaaS platform fee plus Tasks, no per-user fees | Agents that act across many systems under one audit log and access model |
| Workato Agent Studio | Genies with a job description, knowledge and skills | Skills built from Workato recipes | Agent Studio quoted · self-service Pro from $75 a month | Teams with an established recipe library |
| Zapier Agents | Describe the agent, with help from Zapier Copilot | Zapier actions across 9,000+ apps | Free, 400 activities · Pro from $33.33 a month billed annually | Business teams that want an agent working this week |
| n8n | AI Agent node on a visual workflow canvas | Tool sub-nodes, workflow nodes and MCP servers | Starter €20 a month billed annually · self-hosted edition on GitHub | Technical teams that want to self-host |
| Agent builders inside a suite you already own | ||||
| Microsoft Copilot Studio | Describe the agent in plain language, refine in a low-code studio | Power Platform connectors, agent flows and MCP servers | $200 a month per 25,000 Copilot Credits · or pay-as-you-go | Organizations standardized on Microsoft 365 |
| Salesforce Agentforce | Agentforce Builder: plain-language instructions plus Agent Script | Flows, Apex, MuleSoft APIs and prompt templates | Flex Credits, $500 per 100,000 · add-ons from $125 per user a month | Sales and service agents inside Salesforce |
| Google Gemini Enterprise | No-code Workflow Builder in natural language | Connections to Google Workspace, Microsoft 365, HubSpot, Notion and more | Business edition from $21 per seat a month | Google Workspace organizations |
| ServiceNow AI Agent Studio | Guided creation, testing and activation in natural language | ServiceNow workflows, plus MCP and A2A for outside systems and agents | Sales led, no published price · included with Pro Plus and Enterprise Plus | IT and employee service already run on ServiceNow |
| Developer platforms | ||||
| CrewAI | Open-source Python framework: crews of agents and flows | Tools your developers write or install | Framework free (MIT) · platform free for 50 executions a month, Enterprise custom | Developers building multi-agent systems in Python |
| Amazon Bedrock AgentCore | Bring any framework and any model, run on AWS | Gateway to MCP servers, internal APIs and Lambda functions | Consumption-based, no upfront commitment | Engineering teams running agents in production on AWS |
Pricing checked against each vendor’s own pricing page on 4 November 2026. “Quoted” and “sales led” mean the vendor prices through sales. Usage meters differ, so compare the cost of one real agent at your volume rather than list prices.
Integration platforms with agent builders
Tray.ai
Best for: enterprises whose agents have to act across many systems, with one audit log and one access model.
Tray.ai builds agents on the same platform as the integrations they act through. An agent that updates the CRM, files a ticket and checks the ERP uses the same connectors and workflows your teams already run, which connect to 5,000+ apps, databases, APIs, and services. So there is one place to grant access and one log of what every agent did.
You build in a no-code visual builder and drop in code steps where a job needs them. Agents can work together, with a master agent coordinating sub-agents per department, each with its own tools. Every tool call is logged, access is controlled per user, sensitive actions can wait for a person’s approval, and Tray Guardian protects PII. The same agent can be deployed to Slack, Teams, a chatbot or an API, and every major LLM is pluggable, so you can change models without rebuilding. Apollo’s IT agent deflected 40% of tickets in its first two weeks, and Life360 runs one master agent over departmental sub-agents.
Agents built elsewhere can use the same tools. Agent Gateway for MCP exposes Tray connectors as governed MCP tools to Claude, OpenAI, Copilot Studio and other clients. J.W. Pepper used it to reduce 500+ MCP tools to about 20 governed workflows.
IDC named Tray.ai a Major Player in the IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment, and Gartner named it a Pioneer in the 2026 Emerging Market Quadrant for No-Code Agent Builders.
Trade-offs: Tray is managed cloud only. You can start on the Tray AI Orchestration Platform for $50 a month with Tray Helix Builder Edition, plus HCUs for what your apps use, and agent plans are quoted with sales, priced as a platform fee plus Tasks with no per-user fees. If your work lives entirely inside Microsoft 365 or Salesforce, the native builder has context Tray can’t match.
Workato Agent Studio
Best for: teams with an established Workato recipe library that want agents built on it.
Workato calls its agents genies. Each one has four parts: an AI model and job description that set its behavior, a knowledge base of FAQs, policies and company data, skills that let it act, and a chat interface. Skills are “built using Workato workflows and recipes”, so a team that already runs hundreds of recipes can turn them into agent actions. Genies are deployed to Slack, Teams or Workato GO.
Trade-offs: Agent Studio has no published price. Workato’s self-service Pro plan starts at $75 a month for 2,500 credits that expire at the end of each month, and Enterprise editions are quoted. What a genie can do follows what your recipes do, so the agent work and the recipe work go together.
Zapier Agents
Best for: business teams that want an agent working across their SaaS apps this week.
You describe what the agent should do, with help from Zapier Copilot, and give it company knowledge by adding FAQs, documents and public links. Agents act through Zapier’s actions across 9,000+ apps, the widest catalog on this list, and you can watch their activity and chat with them as they work.
Trade-offs: usage is counted in activities. The Free plan includes 400 a month and Pro, from $33.33 a month billed annually, includes 1,500, with a single run capped at 40 activities on paid plans. Enterprise terms are arranged through sales.
n8n
Best for: technical teams that want a visual agent builder they can self-host.
In n8n, an agent is a node on a workflow canvas. The AI Agent node takes a chat model and at least one tool sub-node, and decides which tool to call for each task. Workflows can combine models from OpenAI, Anthropic and Google, add memory and vector databases, connect to an MCP registry server in one click, and run evaluations to test agent behavior.
Trade-offs: n8n prices in euros by workflow executions: Starter is €20 a month billed annually for 2,500 executions, Pro €50 for 10,000, and Business €667 for 40,000, self-hosted. A self-hosted edition is available on GitHub, which means your team runs, upgrades and secures it. The builder assumes people comfortable with workflow logic.
Agent builders inside a suite you already own
Microsoft Copilot Studio
Best for: organizations standardized on Microsoft 365 and Teams.
Microsoft describes Copilot Studio as “a graphical, low-code studio for building and managing AI-powered agents and workflows.” You can create an agent by describing it in plain language, test it, and publish it to Teams, Microsoft Copilot, websites and mobile apps. Agents act through prebuilt and custom Power Platform connectors and agent flows, can include human review steps, and can use tools and resources from MCP servers. If your people already live in Teams and Outlook, identity and licensing are done.
Trade-offs: billing depends on the harness an agent runs on. Copilot Studio is sold as tenant-wide packs of 25,000 Copilot Credits for $200 a month, or pay-as-you-go through an Azure subscription, and the Microsoft 365 Copilot licence is $30 per user a month on top for people who want it. The deepest coverage is for Microsoft’s own apps.
Salesforce Agentforce
Best for: sales and service agents that work inside Salesforce.
Agentforce Builder is “a doc-style workspace where you write, edit, and validate in one flow.” You describe the agent’s behavior in plain language, group it into topics and subagents, and use Agent Script, Salesforce’s language for agents, where you need conditions, loops and transitions. Agents act through the Flows, Apex, MuleSoft APIs and prompt templates you already have, and you can generate test cases from real conversations and run batch tests in the builder. The records, permissions and user session are already in place.
Trade-offs: pricing is published but has several meters. Flex Credits cost $500 per 100,000, and a standard action uses 20 of them. Agentforce add-ons for Sales and Service are $125 per user a month, and Max Editions start at $550 per user a month. Agents that act outside Salesforce go through MuleSoft, which is licensed separately.
Google Gemini Enterprise
Best for: organizations that run on Google Workspace.
Gemini Enterprise includes prebuilt Google agents and a no-code Workflow Builder, which Google says is “best for building custom, no-code agents using natural language to automate repeatable tasks.” The Business edition connects to Microsoft 365, Google Workspace, HubSpot, Notion and other apps, and automates multi-step, multi-app workflows in one place.
Trade-offs: the Business edition starts at $21 per seat a month. Larger editions are sold through Google’s sales team, and custom agents built for developers run on Google Cloud with their own usage costs. Reaching systems outside Google’s connectors means building on Google Cloud.
ServiceNow AI Agent Studio
Best for: enterprises that already run IT and employee service on ServiceNow.
ServiceNow says AI Agent Studio “guides users through creating, testing, and activating AI agents for custom use cases”, and AI Agent Orchestrator keeps teams of specialized agents working together “across tasks, systems, and departments.” Agents act through the workflows and records already on the ServiceNow platform. For outside systems, ServiceNow’s Action Fabric documents it acting as an MCP client and an MCP server, and working with agents built elsewhere over the A2A protocol.
Trade-offs: sales led, no published price, and AI agents are licensed as part of ServiceNow’s AI packages, so check with your account team which package includes building your own. It is strongest where the work is already a ServiceNow workflow.
Developer platforms
CrewAI
Best for: developers building multi-agent systems in Python.
CrewAI calls itself “an open-source Python framework with high-level abstractions and low-level APIs” for multi-agent work. Crews are teams of agents with defined roles and goals, and Flows are event-driven workflows with structured state and branching for when you need precise control. The framework is MIT-licensed, and CrewAI’s commercial platform adds an enterprise console to deploy and monitor agents.
Trade-offs: developers write the agent and its tools. The platform’s free Basic plan includes 50 workflow executions a month, and Enterprise, which can run on CrewAI’s cloud, your own VPC or your own infrastructure, is priced with sales.
Amazon Bedrock AgentCore
Best for: engineering teams running agents in production on AWS.
AWS describes AgentCore as “the platform for production AI agents. Any framework. Any model.” It runs agents built with LangChain, the OpenAI Agents SDK, the Claude Agent SDK, Strands or your own framework. Its gateway handles authentication and access control for connections to MCP servers, knowledge bases, internal APIs and Lambda functions, and observability shows what steps an agent took and what it called.
Trade-offs: it is infrastructure for agents your team writes, not a builder for business users. Pricing is consumption-based with no upfront commitments or minimum fees, for example $0.1276 per vCPU-hour for the runtime.
OpenAI’s Agent Builder is not on this list because OpenAI is deprecating it, with shutdown scheduled for 30 November 2026. ChatKit remains available.
How to choose
- Your agents will live in one suite. Start with that suite’s builder: Copilot Studio for Microsoft 365, Agentforce for Salesforce, Gemini Enterprise for Google Workspace, ServiceNow for IT and employee service.
- Your agents have to act across many systems. Look at Tray.ai, Workato, Zapier or n8n, where agents use the same connectors as your integrations. For the platform-level comparison, including AWS, IBM and Boomi, see enterprise AI platforms for integration and agent orchestration.
- Business teams will build the agents. Check how far a non-developer gets on their own, then how IT controls what the agent can reach. Here’s how to choose a no-code AI agent builder, with a test plan.
- Developers will build the agents. CrewAI and AgentCore give them code-level control. Tray.ai and n8n let them add code steps inside a visual builder.
- Sensitive actions need a person to approve. Check approval steps action by action, especially anything that moves money, changes access or reaches a customer.
- You need to self-host. n8n and CrewAI can run on your own infrastructure. Tray.ai, Zapier and the suite builders are managed cloud.
- You need a price before a call. Zapier, n8n, Copilot Studio, Agentforce, Gemini Enterprise and AgentCore publish one. Tray Helix Builder Edition starts at $50 a month plus HCUs.
Whichever you shortlist, build one real cross-system agent in each, make a tool fail on purpose, and ask for the cost at your volume in writing.
Sources
Every product claim was read on 4 November 2026 on the vendor’s own pages:
- Microsoft: Copilot Studio overview, MCP in Copilot Studio, Copilot Studio pricing
- Salesforce: Agentforce Builder, Agentforce pricing
- Google Cloud: Gemini Enterprise Business edition
- ServiceNow: AI Agents, AI Agent Studio and AI Agent Orchestrator announcement, Action Fabric
- Workato: Agent Studio, self-service pricing
- Zapier: Zapier Agents, Agents pricing
- n8n: Advanced AI, AI Agent node, pricing
- CrewAI: GitHub, docs, pricing
- AWS: Amazon Bedrock AgentCore, AgentCore pricing
- OpenAI: Agent Builder guide and deprecation notice
- IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment, #US54140926, 12 October 2026
- Tray.ai: agent builder, Agent Gateway for MCP, pricing